{"title":"Python Training Courses – Learn to Code in Python","description":"\u003cdiv style=\"max-width: 800px; margin: 0 auto; padding: 20px;\" class=\"collection-description\"\u003e\n\u003cp\u003e\u003cstrong\u003ePython is the most in-demand programming language in tech — and for good reason.\u003c\/strong\u003e It’s fast, readable, versatile, and powers everything from data analysis to AI development and web apps.\u003c\/p\u003e\n\u003cp\u003eThis collection is your gateway to learning Python from scratch or upskilling to advanced topics. Master syntax, control structures, functions, OOP, and real-world projects. Courses are hands-on and include \u003cstrong\u003elive tutor support, labs, and practice challenges\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eLearn the language of the future — start your Python training journey today with DiviTrain.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e","products":[{"product_id":"machine-learning-python-course-programmer-to-architect","title":"Machine Learning With PYTHON – ML Programmer To ML Architect","description":"\u003cp data-mce-fragment=\"1\"\u003eMachine Learning Architects interpret real-time analysis of data to automate and increase efficiency across all business domains, setting the stage for meaningful AI that moves from reactive to predictive. This Journey will guide you in the transition from becoming an ML Programmer to an ML\/DL Architect Master through mechanisms such as computational theory.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis learning path, with more than 100 hours of online content, is divided into the following four tracks:\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 1: Machine Learning Programmer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 2: Deep Learning Programmer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 3: Machine Learning Engineer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 4: Machine Learning Architect\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 1: Machine Learning Programmer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is linear regression, computational theory, and training sets.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eNLP for ML with Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Algebra and Probability\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Regression Models\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eComputational Theory\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eModel Management\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBayesian Methods\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eReinforcement Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMath for Data Science \u0026amp; Machine Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuilding ML Training Sets\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Models \u0026amp; Gradient Descent\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: \u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eMachine Learning Programming with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform ML programming tasks with Python, such as splitting data and standardizing data, and classification using nearest neighbors and ridge regression. Then, test your skills by answering assessment questions after performing principal component analysis, visualizing correlations, training a naive Bayes model and a support vector machine model. This lab provides access to several tools commonly used in ML, including:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMicrosoft Excel 2016, Visual Studio Code, Anaconda, Jupyter Notebook + JupyterHub, Pandas, NumPy, SiPy, Seaborn Library, Spyder IDE\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 2: Deep Learning Programmer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is neural networks, CNNs, RNNs, and ML algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuilding Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eTraining Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eImproving Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvNets\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvolutional Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvo Nets for Visual Recognition\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFundamentals of Sequence Model\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuild \u0026amp; Train RNNs\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML Algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Deep Learning Programming with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform DL programming tasks with Python, such as performing series expansion and calculus, and work with TensorFlow and scikit-image. Then, test your skills by answering assessment questions after loading a data set for hierarchical clustering and k-means clustering, and train a model using random forests and gradient boosting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 3: Machine Learning Engineer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is predictive modeling and analytics, ml modeling, and ml architecting.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePredictive Modeling\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePlanning AI Implementation\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML\/DL in the Enterprise\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEnterprise Services\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eArchitecting Balance\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEnterprise Architecture\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eRefactoring ML\/DL Algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Architecting ML\/DL Apps with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform architecting tasks such as binning data, imputing values, performing cross validation, and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 4: Machine Learning Architect\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is applied predictive modeling, CNNs and RNNs, and ML algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eApplied Predictive Modeling\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eImplementing Deep Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eApplied Deep Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Reinforcement Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML\/DL Best Practices\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResearch Topics in ML and DL\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDeep Learning with Keras\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Architecting Advanced ML\/DL Apps with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform advanced ML\/DL app architecture tasks using Python, such as loading a data set to train a simple multilayer perceptron (MLP), a Convolutional Neural Network (CNN) and an LSTM model. Then, test your skills by answering assessment questions after performing image and text classification using CNN.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39259772616790,"sku":"","price":1199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/21.png?v=1743543918"},{"product_id":"data-science-python-training-data-analyst-to-data-scientist","title":"Data Science With PYTHON – From Data Analyst To Data Scientist","description":"\u003cp data-mce-fragment=\"1\"\u003eThis journey will first provide a foundation of data architecture, statistics, and data analysis programming skills using Python and R which will be the first step in acquiring the knowledge to transition away from using disparate and legacy data sources. You will then learn to wrangle the data using Python and R and integrate that data with Spark and Hadoop. Next you will learn how to operationalize and scale data while considering compliance and governance. To complete the journey, you will then learn how to take that data and visualize it, to inform smart business decisions.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis learning path, with more than 120 hours of online content, is divided into the following four tracks:\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 1: Data Analyst\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 2: Data Wrangler\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 3: Data Ops\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 4: Data Scientist\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 1: Data Analyst\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track, the focus is the data analyst role with a focus on: Python, R, architecture, statistics, and Spark.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Architecture Primer \u0026amp; Data Engineering Fundamentals\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython for Data Science\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eR for Data Science\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Science Statistics\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAccessing Data with Spark\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Hadoop\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eHadoop HDFS\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Silos, Lakes, \u0026amp; Streams\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 65 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Analyzing Data with Python\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePractice performing data analysis tasks using Python by configuring VSCode, loading data from SQLite into Pandas, grouping data and using box plots. Then, test your skills by answering assessment questions after using Python to calculate frequency distribution, measures of center, and coefficient of dispersion. This lab provides access to several tools commonly used in data science, including:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eVS Code, Anaconda, Jupyter Notebook + Hub, Pandas, NumPy, SiPy, Seaborn Library, Spyder IDE\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 2: Data Wrangler\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track, the focus will be on the data wrangler role. We will explore areas such as: wrangling with Python, Mongo, and Hadoop.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Wrangling with Pandas\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Wrangler 4\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Tools\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMongoDB for Data Wrangling\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Hive\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Hadoop\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAccessing Data with Spark\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Lake\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Architecture - Deep Dive\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Data Wrangling with Python\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform data wrangling tasks including using a Pandas DataFrame to convert multiple Excel sheets to separate JSON documents, extract a table from an HTML file, use mean substitution and convert dates within a DataFrame. Then, test your skills by answering assessment questions after using a Pandas DataFrame to convert a CSV document to a JSON document, replace missing values with a default value, split a column with a delimiter and combine two columns by concatenating text.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 3: Data Ops\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThe tracks objective is to help prepare the learner for a Data Ops role with a focus on governance, security, and harnessing volume and velocity.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDelivering Dashboards\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eCloud Data Architecture\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eCompliance Issues and Strategies \u0026amp; Implementing Governance Strategies\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Access \u0026amp; Governance Policies\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eStreaming Data Architectures\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eScalable Data Architectures\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Pipeline \u0026amp; Data Sources\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSecuring Big Data Streams \u0026amp; Harnessing Data Volume \u0026amp; Velocity\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Rollbacks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Implementing Data Ops with Python\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform data ops tasks with Python including working with row subsets, creating new columns with Regex, performing joins and spreading rows. Then, test your skills by answering assessment questions after working with field subsets and computed columns, and performing set operations and binding rows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eData Science Track 4: Data Scientist\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eFor this track, the focus will be on the Data Scientist role. Here we will explore areas such as: visualization, APIs, and ML and DL algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Driven Organizations\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eRaw Data to Insights\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eStorytelling with Data\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython for Data Science\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eR for Data Science\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Visualizations \u0026amp; Dashboards\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Insights, Anomalies, \u0026amp; Verification\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Research Techniques\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMachine \u0026amp; Deep Learning Algorithms\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eCreating Data APIs Using Node.js\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Data Visualization with Python\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform data visualization tasks with Python such as creating scatter plots, plotting linear regression, using logistic regression and creating decision tree. Then, test your skills by answering assessment questions after creating time-series graphs, resampling observations, creating histograms and using a grid pair.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39259941142614,"sku":"","price":1199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/17.png?v=1743543783"},{"product_id":"python-programming-course-24-7-mentoring-live-labs-practice-tests-1-year-access","title":"PYTHON Programming - From Novice To Pythonista","description":"\u003cp data-mce-fragment=\"1\"\u003ePython continues to be one of the fastest-growing programming languages in the market today. Because of its ease of use and numerous supporting frameworks, it is widely used in web development, writing scripts, automating tasks, data science, and even cybersecurity.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis learning path, with more than 95 hours of online content, is divided into the following four tracks:\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePythonista Track 1: Python Novice\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePythonista Track 2: Python Apprentice\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePythonista Track 3: Python Journeyman\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePythonista Track 4: Pythonista\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 1: Python Novice\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Pythonista journey, the focus is getting started with Python, complex data types, conditional statements and loops, and first-class functions and lamdas.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Python: Introduction\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eComplex Data Types in Python: Working with Lists \u0026amp; Tuples in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eComplex Data Types in Python: Working with Dictionaries \u0026amp; Sets in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eComplex Data Types in Python: Shallow \u0026amp; Deep Copies in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConditional Statements \u0026amp; Loops: If-else Control Structures in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConditional Statements \u0026amp; Loops: The Basics of for Loops in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConditional Statements \u0026amp; Loops: Advanced Operations Using for Loops in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConditional Statements \u0026amp; Loops: While Loops in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFunctions in Python: Introduction\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFunctions in Python: Gaining a Deeper Understanding of Python Functions\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFunctions in Python: Working with Advanced Features of Python Functions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: \u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePython Novice\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePractice novice Python development tasks such as formatting data types, implementing flow control and conditionals, copying containers, and performing loops with list comprehension methods. Then, test your skills by answering assessment questions after converting data types, working with global and local variables within functions, invoking functions with varying parameters and implementing recursive functions and closures. This lab provides access to tools typically used when developing with Python, including:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython, Anaconda\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eJupyter Notebook + JupyterHub\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePandas\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eNumPy\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSiPy\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSeaborn Library\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePyCharm IDE\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSpyder IDE\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMongoDB\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMySQL,\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eVS Code\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 2: Python Apprentice\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Pythonista journey, the focus is Python classes and inheritance and also data structures and algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Python Topics: File Operations in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Python Topics: Exceptions \u0026amp; Command Line Arguments\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Python Topics: Python Modules \u0026amp; Virtual Environments\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Python Topics: Migrating from Python 2 to Python 3\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Classes and Inheritance: Introduction\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Classes \u0026amp; Inheritance: Getting Started with Classes in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Classes \u0026amp; Inheritance: Working with Inheritance in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Classes \u0026amp; Inheritance: Advanced Functionality Using Python Classes\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Fundamental Data Structures\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Implementing Data Structures\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Sorting Algorithms\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Implementing Sorting Algorithms\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Trees \u0026amp; Graphs\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Structures \u0026amp; Algorithms in Python: Implementing Trees \u0026amp; Graphs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Python Apprentice\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform apprentice level Python development tasks such as file handling, implementing polymorphism, implementing special method names, as well as implementing an abstract class and using static methods. Then, test your skills by answering assessment questions after using a Python list as a stack, performing queue operations, implementing a graph as an adjacency matrix, and traversing a Binary Search Tree (BST).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 3: Python Journeyman\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Pythonista journey, the focus will be on Python Unit Testing, Python HTTP requests, Flask in Python, and Python concurrent programming.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Unit Testing: An Introduction to Python's unittest Framework\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Unit Testing: Advanced Python Testing Using the unittest Framework\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Unit Testing: Testing Python Code Using pytest\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Unit Testing: Testing Python Code Using doctest\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Requests: HTTP Requests with Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFlask in Python: An Introduction to Web Frameworks \u0026amp; Flask\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFlask in Python: Building a Simple Web Site Using Flask\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFlask in Python: User Interactions in Flask Applications\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFlask in Python: User Authentication in a Flask Application\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Concurrent Programming: Introduction to Concurrent Programming\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Concurrent Programming: Multithreading in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Concurrent Programming: Multiprocessing in Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Concurrent Programming: Asynchronous Executions in Python\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Python\u003c\/strong\u003e \u003cstrong data-mce-fragment=\"1\"\u003eJourneyman\u003c\/strong\u003e (estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform journeyman level Python development tasks such as testing with pytest, making HTTP requests, serving HTTP requests with a Flask endpoint, and rendering a jinja template. Then, test your skills by answering assessment questions after using multithreading and multiprocessing with Python, processing data in a queue and creating and executing a coroutine with Asyncio.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 4: Pythonista\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Pythonista journey, the focus is unit testing, developing, and debugging using the PyCharm IDE, wrangling Excel data, network programing, and hashing and encryption algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eIntroduction to Using PyCharm IDE\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eExcel with Python: Working with Excel Spreadsheets from Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eExcel with Python: Performing Advanced Operations\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eExcel with Python: Constructing Data Visualizations\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSocket Programming in Python: Introduction\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSocket Programming in Python: Advanced Topics\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Design Patterns: Principles of Good Design\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Design Patterns: Working with Creational Design Patterns\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Design Patterns: Working with Structural Design Patterns\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePython Design Patterns: Working with Behavioral Design Patterns\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Pythonista \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform development tasks expected of Pythonistas such as debugging with PyCharm, working with spreadsheet data and creating charts, and writing applications that can communicate using TPC sockets. Then, test your skills by answering assessment questions after working with Singleton, Observer and Factory design patterns and implementing iterators using special methods.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39260292481110,"sku":"","price":1199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/24.png?v=1743543750"},{"product_id":"full-stack-developer-essentials-data-development-4-tracks-live-mentoring-labs-practice-tests-365-days","title":"Full Stack Developer Course: Essentials to Data Development","description":"\u003cp data-mce-fragment=\"1\"\u003eFull Stack Development is essentially the convergence of a variety of tools and technologies, coupled with an Agile approach, to develop complete end-to-end applications. Explore how to go from an Enterprise Developer to a Full Stack Developer.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis learning path, with more than 67 hours of online content, is divided into the following four tracks:\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFSD Track 1: Enterprise Developer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFSD Track 2: Front-end Developer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFSD Track 3: Middle\/Back-end Developer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFSD Track 4: Full Stack Developer\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 1: Enterprise Developer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Enterprise Development to Full Stack Developer journey, the focus will be on getting started with FSD, software testing and secure programing with FSD, using MEAN and MERN for FSD development, and FSD programing language primer.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Getting Started: Introduction to Full Stack Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Software Testing: Full Stack Developer Software Testing\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSecure Full Stack Developer Programming\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMEAN for FSD Development: Introduction to the MEAN Stack\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMERN for FSD Development: The MERN Stack \u0026amp; FSD\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Programming Languages Primer: FSD Front-end Primer\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Programming Languages: FSD Back End \u0026amp; Miscellaneous Tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: FSD Software Essentials \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform essential full stack development tasks by working with NodeJS and MongoDB and creating applications with Angular and ReactJS. Then, test your skills by answering assessment questions after working with npm packages, displaying data using Angular, rendering data in ReactJS and working with ReactJS components.\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eThis lab provides access to several tools commonly used in full stack development, including:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAnaconda, Jupyter Notebook + JupyterHub, Pandas, NumPy, SiPy, Seaborn Library, Spyder IDE, Angular 7, React, Node, MongoDB, MySQL, VS Code\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 2: Front-end Developer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Enterprise Development to Full Stack Developer journey, the focus will be on FSD front-end development. The technologies covered will be HTML \u0026amp; CSS and advanced JavaScript. User interaction technologies and build and test tools will also be covered.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-end Development: Features of HTML5 \u0026amp; CSS3\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-end Development: Advanced CSS Browser Features\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-End Development: Using JavaScript Functions\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-End Development: Writing Code with jQuery\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-End Development: Frameworks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-End Development: UI Development with ReactJS\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-end Development: Server Tools\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-end Development: Build Tools\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Front-end Development: Testing Tool\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\/\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: FSD Front-End Development \u003c\/strong\u003e(estimated duration: 7 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform front-end development tasks using NodeJS to build an HTTP server, applying Flexbox, working JavaScript Closures and styling pages with browser developer tools. Then, test your skills by answering assessment questions after responding to viewport sizes, posting data using ReactJS, nesting CSS code with Node-sass and creating a factory function. This lab provides access to several tools commonly used in full stack development.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 3: Middle\/Back-end Developer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Enterprise Development to Full Stack Developer journey, you will explore middle and backend FSD, Java Spring for FSD development, API deployment with Python, restfull services, and FSD project deployment.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Development: Java Spring Framework\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Development with Python: API Development in Flask\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eRESTful Services for FSD: Building \u0026amp; Testing RESTful Services\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDeploying FSD Projects: Deployment Overview\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eCI\/CD Pipelines: Full Stack Developer CI\/CD\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFull Stack End-to-End Testing\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eData Infrastructure: Databases in FSD Development\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: FSD Middle Tier and Back-End FSD Development \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform middle tier and back-end full stack development tasks by creating an API using Python and Flask, creating a PostgreSQL Python application, GET and POST requests with Python and perform end to end NodeJS testing with Cypress. Then, test your skills by answering assessment questions after creating a POST handler with Python, testing a Python app with Pytest, building MongoDB databases and collection and implementing JSON error exceptions. This lab provides access to several tools commonly used in full stack development.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 4: Full Stack Developer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the Enterprise Development to Full Stack Developer journey, the focus will be on data FSD developer, advanced MERN, and SQL for the FSD developer.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMEAN Stack Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMERN: Advanced MERN Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eSQL in FSD Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eNoSQL for FSD Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFSD Secure Database Development\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Database Security Development\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: FSD Data Development \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform FSD data development tasks including creating and managing a PostgreSQL database, working with SQLAlchemy, performing PostgreSQL database operation and working with NodeJS router. Then, test your skills by answering assessment questions working with Express, Router and Validator in NodeJS, performing database operations with PostgreSQL, working with the Python Connect File and performing NodeJS data operations.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39260308504662,"sku":"","price":1199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/18.png?v=1743543722"},{"product_id":"artificial-intelligence-ai-training-ai-apprentice-to-ai-architect-4-tracks-24-7-mentoring-labs-practice-tests-365-days-accessai-training-apprentice-to-architect-4-tracks-24-7-mentoring-live-labs-practice-tests-365-days","title":"Artificial Intelligence (AI) Training – AI Apprentice to AI Architect","description":"\u003cdiv class=\"dt-product-description-v7\"\u003e\n\u003ch2 class=\"dt-heading-xl\"\u003eAI Apprentice to AI Architect Learning Journey for Building Real-World AI Expertise\u003c\/h2\u003e\n\u003cdiv class=\"dt-body-premium\"\u003e\n\u003cp\u003eThe AI Apprentice to AI Architect Learning Journey is a structured four-track program that builds your skills from foundational AI theory through to enterprise-level AI system design. Across \u003cstrong\u003e57+ hours of e-learning\u003c\/strong\u003e, you work through AI development with Python, deep learning frameworks including Keras and Microsoft CNTK, Apache Spark, computer vision, Google BERT, cognitive modeling, and explainable AI. Each track includes a Final Exam assessment and 8 hours of hands-on Practice Labs, giving you practical experience with the tools AI professionals use daily. Expert tutor support is available 24\/7 throughout your 365-day access period.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"dt-grid-v7\"\u003e\n\u003cdiv class=\"dt-container-v7\"\u003e\n\u003ch3 class=\"dt-heading-card\"\u003eWhat this training includes\u003c\/h3\u003e\n\u003cul class=\"dt-list-premium\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e57+ hours of e-learning\u003c\/strong\u003e — 365 days access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFinal Exam assessment per track\u003c\/strong\u003e (4 total)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32 hours of hands-on Practice Labs \u003c\/strong\u003e(8 hours per track)\u003c\/li\u003e\n\u003cli\u003eExpert tutor support available 24\/7\u003c\/li\u003e\n\u003cli\u003eOrganizations seeking team-wide training can explore our \u003ca href=\"https:\/\/www.divitrain.com\/pages\/for-teams\"\u003ecorporate volume solutions\u003c\/a\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"dt-container-v7\"\u003e\n\u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n\u003cul class=\"dt-list-premium\"\u003e\n\u003cli\u003eAI Engineer\u003c\/li\u003e\n\u003cli\u003eMachine Learning Engineer\u003c\/li\u003e\n\u003cli\u003eAI Developer\u003c\/li\u003e\n\u003cli\u003eData Scientist\u003c\/li\u003e\n\u003cli\u003eAI Solutions Architect\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"dt-heading-section\"\u003eWhat does this learning journey cover\u003c\/h3\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eTrack 1: AI Apprentice \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis track establishes the theoretical and practical foundations of AI. You study core AI theory, the different types of AI, human-computer interaction principles and methodologies, AI development with Python, computer vision, and cognitive modeling approaches. The 8-hour Practice Lab covers exploratory data analysis, machine learning regression and classification, deep neural networks, convolutional neural networks, and NLP text analysis using Jupyter Notebook, Python, Anaconda, Scikit-learn, and Keras.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eTrack 2: AI Developer \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis track focuses on the frameworks and tools used in professional AI development. You work with the Microsoft Cognitive Toolkit (CNTK), Keras, Apache Spark, Amazon Machine Learning, cognitive modeling, AI in robotics, and Google BERT. The 7-hour Practice Lab puts these skills into practice through prediction models, sentiment analysis, image classification, BERT-based category classification, and prediction analysis using pySpark.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eTrack 3: AI Practitioner \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis track advances your skills in optimizing and fine-tuning AI solutions at a production level. Topics include the role and responsibilities of an AI Practitioner, advanced CNTK functionality, the Keras framework, Apache Spark for AI development, extending Amazon Machine Learning, and building intelligent information systems. The 8-hour Practice Lab reinforces these advanced AI practitioner competencies in a real working environment.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eTrack 4: AI Architect \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis track develops the strategic and architectural thinking required at senior AI level. You cover the elements of an AI Architect role, AI enterprise planning, AI applications across industries, reusable AI architecture patterns, evaluating current and future AI technologies and frameworks, and explainable AI (XAI). The 8-hour Practice Lab covers real-world AI Architect scenarios including implementing an AI analytics dashboard, comparing Parameter-Sharing and Federated Learning architectures, and applying AI explainability methods using Jupyter Notebook and Anaconda.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003ch3 class=\"dt-heading-section\"\u003eWhere can this learning journey take your career\u003c\/h3\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eCareer paths and next training after the AI Apprentice to AI Architect journey \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eAI skills are in demand across every major industry, with organizations actively hiring across machine learning, data science, AI engineering, and enterprise AI strategy. After completing this journey, many professionals continue with \u003ca href=\"https:\/\/www.divitrain.com\/products\/machine-learning-python-course-programmer-to-architect\"\u003eMachine Learning With Python\u003c\/a\u003e to deepen their ML expertise, \u003ca href=\"https:\/\/www.divitrain.com\/products\/aws-certified-ai-practitioner-aif-c01\"\u003eAWS Certified AI Practitioner (AIF-C01)\u003c\/a\u003e to validate cloud AI knowledge, or \u003ca href=\"https:\/\/www.divitrain.com\/products\/microsoft-ai-102-azure-ai-engineer-associate\"\u003eMicrosoft AI-102: Azure AI Engineer Associate\u003c\/a\u003e to specialize in Azure-based AI solutions. For all structured multi-track programs, explore our \u003ca href=\"https:\/\/www.divitrain.com\/collections\/learning-journeys\"\u003eLearning Journeys collection\u003c\/a\u003e.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eWhat prior experience do I need to start this learning journey \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis journey is designed for technology professionals ready to move into AI development and architecture. A basic familiarity with programming concepts is helpful, particularly Python, as the early tracks include Python-based AI development. The program begins with foundational AI theory before progressing to advanced frameworks, so no prior AI-specific experience is required to start.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eDoes this training prepare me for a specific AI certification exam \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThis learning journey is not tied to a single vendor certification exam. It builds broad, practical AI skills across the Microsoft, Amazon, and Google AI ecosystems, covering frameworks and tools that appear across multiple vendor certification tracks. Each track ends with a Final Exam assessment to measure your progress. For certification-specific preparation, standalone courses such as the AWS Certified AI Practitioner or Microsoft AI-102 are available separately on DiviTrain.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eWhat tools and environments are used in the hands-on Practice Labs \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThe Practice Labs across all four tracks use tools that AI professionals work with in real environments. Tracks 1 and 2 use Jupyter Notebook, Python, Anaconda, Scikit-learn, and Keras for machine learning and deep learning exercises. Track 4 uses Jupyter Notebook and Anaconda for AI architecture scenarios. All labs are hosted in a cloud environment, so no local software installation is required.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eIs the exam voucher included and how do I register for the exam \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eThe exam voucher is not included in this training. The exam is administered globally by Pearson VUE, either at an authorized testing center or via online proctoring. Once your preparation is complete, you register and purchase your exam voucher directly through the official certification or Pearson VUE website.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n\u003csummary\u003eCan my team or organization get certified together \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n\u003cdiv class=\"dt-acc-content\"\u003eYes. DiviTrain offers volume licensing for teams and organizations looking to upskill at scale. Whether you are certifying a small IT team or rolling out training across departments, our corporate solutions provide flexible access and invoicing options. Visit our \u003ca href=\"https:\/\/www.divitrain.com\/pages\/for-teams\"\u003eFor Teams page\u003c\/a\u003e to learn more.\u003c\/div\u003e\n\u003c\/details\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39260323086422,"sku":"","price":1199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/14.png?v=1743543681"},{"product_id":"getting-started-with-python","title":"Getting Started with Python","description":"\u003cp\u003e\u003cstrong\u003eUnlock Your Full Potential with DiviTrain\\'s Premier Getting Started with Python Online Training!\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePropel your career forward with our comprehensive Getting Started with Python course, expertly powered by Skillsoft. DiviTrain is dedicated to delivering an exceptional and effective learning journey, meticulously designed for your success in het behalen van certificering.\u003c\/p\u003e\n\u003ch3\u003eKey Advantages of Choosing DiviTrain for Getting Started with Python:\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003e\n\u003cstrong\u003eComprehensive:\u003c\/strong\u003e curriculum meticulously aligned with official certification exam objectives.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEngaging:\u003c\/strong\u003e hands-on labs and industry-leading MeasureUp practice exams to ensure real-world skill development.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDedicated:\u003c\/strong\u003e live tutor support from certified experts, available 365 days a year to guide you.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHighly:\u003c\/strong\u003e flexible e-learning platform, allowing you to learn at your own pace, on any device, anytime, anywhere.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat You Will Learn: A Glimpse into the Curriculum\u003c\/h3\u003e\n\u003cp\u003eOur structured and engaging modules will guide you through every critical aspect of Getting Started with Python:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003eModule 1: Introduction to Getting Started with Python\u003c\/li\u003e\n\u003cli\u003eModule 2: Core Concepts and Architecture\u003c\/li\u003e\n\u003cli\u003eModule 3: Practical Implementation and Hands-on Labs\u003c\/li\u003e\n\u003cli\u003eModule 4: Advanced Topics and Best Practices Kennis van Technologieën\u003c\/li\u003e\n\u003cli\u003eModule 5: Certification Exam Preparation Strategies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIs This Getting Started with Python Course Right For You?\u003c\/h3\u003e\n\u003cp\u003eThis course is designed to meet the unique needs of diverse learners:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003e\n\u003cstrong\u003eAspiring IT Starters:\u003c\/strong\u003e If you are new to IT and seeking a clear path, This Getting Started with Python course provides a clear, structured learning path, demystifying complex topics and building your foundational knowledge and confidence for a successful start in IT.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eAmbitious Career Switchers:\u003c\/strong\u003e If you are looking to transition into a dynamic IT role, Quickly acquire in-demand, practical skills with Getting Started with Python and earn a valuable certification that significantly boosts your resume and helps you transition smoothly into a new IT career.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eExperienced IT Professionals:\u003c\/strong\u003e If you aim to upgrade your skills and earn advanced certifications, Deepen your expertise in Getting Started with Python, stay ahead of the curve with the latest technologies, and validate your advanced skills with a globally recognized certification.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eForward-Thinking Employers (B2B):\u003c\/strong\u003e If you need to upskill your team for enhanced performance, Equip your team with standardized, high-quality training through DiviTrain. Enhance team productivity, achieve project goals effectively, and benefit from group licenses and progress reporting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDon\\'t just learn – achieve mastery. Enroll in DiviTrain\\'s Getting Started with Python online course today and take a significant step towards your career goals!\u003c\/strong\u003e\u003c\/p\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":54757042454853,"sku":null,"price":299.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/PhytonStart_6c2db625-40cd-408e-8574-04f6973a4099.webp?v=1748028934"},{"product_id":"getting-started-with-python-with-lab","title":"Getting Started with Python with Lab Online Training","description":"\u003cdiv class=\"dt-product-description-v7\"\u003e\n  \u003ch2 class=\"dt-heading-xl\"\u003eGetting Started with Python with Lab Online Training\u003c\/h2\u003e\n\n  \u003cdiv class=\"dt-body-premium\"\u003e\n    Getting Started with Python with Lab is a beginner-friendly online training course designed to help learners build practical Python programming skills through structured lessons and guided practice. This course supports foundational learning for people starting with coding, exploring software development or building technical confidence for future career growth.\n    \u003cbr\u003e\u003cbr\u003e\n    Based on the provided course content, the training includes hands-on labs, MeasureUp practice exams and live tutor support. It is designed to give learners a flexible e-learning experience that can be followed at their own pace across devices.\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"dt-container-v7\"\u003e\n    \u003cdiv class=\"dt-grid-v7\"\u003e\n      \u003cdiv\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eWho is this training for\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n          \u003cli\u003eIT starters looking for a clear introduction to Python programming\u003c\/li\u003e\n          \u003cli\u003eCareer switchers building practical coding skills for a new direction\u003c\/li\u003e\n          \u003cli\u003eTechnical learners who want a beginner-friendly software development foundation\u003c\/li\u003e\n          \u003cli\u003eEmployers looking to upskill teams with structured Python training\u003c\/li\u003e\n        \u003c\/ul\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n          \u003cli\u003eJunior Python Developer\u003c\/li\u003e\n          \u003cli\u003eEntry-Level Software Developer\u003c\/li\u003e\n          \u003cli\u003eTechnical Support Specialist\u003c\/li\u003e\n          \u003cli\u003eAutomation Support Associate\u003c\/li\u003e\n          \u003cli\u003eJunior Web Development Learner\u003c\/li\u003e\n        \u003c\/ul\u003e\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eCourse Modules\u003c\/h3\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eIntroduction to Python \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Get introduced to Python and its role in modern software and IT environments. This section helps beginners understand what Python is, how it is used and why it is a strong first programming language.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eCore Concepts and Structure \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Build a foundation in key Python concepts and the basic structure of Python-based problem solving. This section supports learners who need a clear starting point for understanding how Python works.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003ePractical Implementation and Labs \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Apply what you learn through hands-on labs designed to turn theory into practical skill. This section helps learners build confidence with Python through guided implementation exercises.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eAdvanced Topics and Best Practices \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Strengthen your understanding with more advanced topics and practical best practices that support cleaner, more effective Python learning and development habits.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eLearning and Exam Preparation Support \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Reinforce your progress with structured preparation support, including MeasureUp practice exams, hands-on labs and expert tutor guidance throughout the course.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eCareer Opportunities\u003c\/h3\u003e\n\n  \u003cdiv class=\"dt-body-premium\"\u003e\n    This course supports learners who want to start building Python skills for entry-level software, automation and technical roles. It is especially useful for beginners who want a practical first step into programming and for career switchers who need a structured learning path.\n    \u003cbr\u003e\u003cbr\u003e\n    The combination of labs, practice exams and tutor support also makes this training relevant for teams that want a more guided and standardized introduction to Python.\n    \u003cbr\u003e\u003cbr\u003e\n    For organizations looking to train multiple employees, visit \u003ca href=\"https:\/\/www.divitrain.com\/nl-nl\/pages\/for-teams\"\u003eteam training options\u003c\/a\u003e.\n    \u003cbr\u003e\u003cbr\u003e\n    You can also explore more beginner-friendly development options in the \u003ca href=\"https:\/\/www.divitrain.com\/collections\/online-software-development-courses\"\u003eOnline Software Development Courses collection\u003c\/a\u003e.\n  \u003c\/div\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\n  \u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eWhat is Getting Started with Python with Lab \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        It is a beginner-focused Python training course designed to help learners build foundational programming skills through structured lessons, hands-on labs and guided support.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eIs this Python course suitable for beginners \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. This course is designed for beginners, including IT starters and career switchers who want a practical introduction to Python.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eDoes this course include hands-on labs \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. Based on the provided content, the course includes hands-on labs for practical skill development.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eAre practice exams included in this training \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. The training includes MeasureUp practice exams based on the provided product content.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eDoes this course include live tutor support \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. Based on the provided content, live tutor support from certified experts is included.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":54757043339589,"sku":null,"price":389.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/PhytonStartlabs_fb77836c-d32e-4edb-9e06-a83fbd88f1ac.webp?v=1748028937"},{"product_id":"pair-programming-with-generative-ai-tools","title":"Pair Programming with Generative AI Tools","description":"\u003cdiv class=\"dt-product-description-v7\"\u003e\n  \u003ch2 class=\"dt-heading-xl\"\u003ePair Programming with Generative AI Tools Training\u003c\/h2\u003e\n\n  \u003cdiv class=\"dt-body-premium\"\u003e\n    Pair Programming with Generative AI Tools is designed to help developers build practical skills in modern AI-assisted software development. This training focuses on how to work more effectively with generative AI during coding, debugging, refactoring, testing and secure development workflows.\n    \u003cbr\u003e\u003cbr\u003e\n    Based on the provided course content, the training supports professionals who want to use AI tools as collaborative development partners while maintaining code quality, architectural control and security awareness. It is a strong fit for engineers, junior developers, technical leads, DevOps professionals and QA specialists who want a more efficient and structured coding workflow.\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"dt-container-v7\"\u003e\n    \u003cdiv class=\"dt-grid-v7\"\u003e\n      \u003cdiv\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eWho is this training for\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n          \u003cli\u003eSoftware engineers improving speed and consistency with AI-assisted coding\u003c\/li\u003e\n          \u003cli\u003eJunior developers who want more guidance during coding and debugging\u003c\/li\u003e\n          \u003cli\u003eTechnical leads standardizing AI-supported development workflows across teams\u003c\/li\u003e\n          \u003cli\u003eDevOps engineers automating scripts, infrastructure tasks and troubleshooting\u003c\/li\u003e\n          \u003cli\u003eQA engineers using AI to support test generation and code review\u003c\/li\u003e\n        \u003c\/ul\u003e\n      \u003c\/div\u003e\n\n      \u003cdiv\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n          \u003cli\u003eAI-Augmented Developer\u003c\/li\u003e\n          \u003cli\u003eSenior Software Architect\u003c\/li\u003e\n          \u003cli\u003eFull-Stack Agentic Engineer\u003c\/li\u003e\n          \u003cli\u003eLead Code Reviewer\u003c\/li\u003e\n          \u003cli\u003eAI Implementation Specialist\u003c\/li\u003e\n        \u003c\/ul\u003e\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eCourse Modules\u003c\/h3\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eThe AI Pair Programming Paradigm \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Learn how modern AI pair programming works in practice, including the role of the developer as decision-maker and the AI as a support layer for generation, explanation and iteration.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eContext Management and Multi-File Reasoning \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Build practical skills in giving AI tools the right project context so they can support larger codebases, multiple files and more consistent implementation decisions.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eAdvanced Debugging and the Edit-Test Loop \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Learn how to use AI during debugging, test creation and iterative fixing so you can work through bugs with more structure and less repetitive manual effort.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eAI-Driven Refactoring and System Design \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Understand how AI can support larger code changes, refactors and architecture-level thinking while keeping human oversight central to quality and design choices.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eSecurity Ethics and Responsible AI Coding \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n      Build awareness of secure and responsible AI-assisted coding, including how to review generated code, think about privacy and avoid blindly accepting risky suggestions.\n    \u003c\/div\u003e\n  \u003c\/details\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eCareer Opportunities\u003c\/h3\u003e\n\n  \u003cdiv class=\"dt-body-premium\"\u003e\n    This training supports developers and technical teams who want to improve productivity, reduce repetitive work and build stronger AI-assisted engineering workflows. It is especially useful for professionals who want to combine software development skills with modern AI tooling in a more practical and responsible way.\n    \u003cbr\u003e\u003cbr\u003e\n    The included labs also make this training relevant for teams that want to test, standardize and scale AI-supported coding practices across engineering environments.\n    \u003cbr\u003e\u003cbr\u003e\n    For organizations looking to train multiple employees, visit \u003ca href=\"https:\/\/www.divitrain.com\/nl-nl\/pages\/for-teams\"\u003eteam training options\u003c\/a\u003e.\n  \u003c\/div\u003e\n\n  \u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\n  \u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eWhat are the prerequisites for this AI pair programming course \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        A basic understanding of at least one programming language and familiarity with an IDE are recommended. No prior AI tool experience is required based on the provided course content.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eCan AI coding tools help with multi-file development \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. Modern AI coding tools can work with broader project context and support reasoning across multiple files when used with the right workflow and context setup.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eCan these tools be used in secure company environments \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes, but privacy and access settings matter. Teams should use enterprise controls and responsible data handling practices when adopting AI coding tools.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eDoes this course include practical labs \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Yes. Based on the provided product content, the course includes hands-on labs for real-world AI-assisted development practice.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n\n    \u003cdetails class=\"dt-acc-item-v7\"\u003e\n      \u003csummary\u003eWhich tools are relevant to this training \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n      \u003cdiv class=\"dt-acc-content\"\u003e\n        Based on the provided content, the training covers AI-assisted development workflows built around tools such as GitHub Copilot, Cursor and Claude Code.\n      \u003c\/div\u003e\n    \u003c\/details\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":54757064900933,"sku":null,"price":389.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/AiProgram_5b280ff6-1b4a-4284-b803-96094ea2b35a.webp?v=1770135242"},{"product_id":"programming-python-in-action","title":"Programming Python in Action","description":"\u003ch2 class=\"dt-heading-xl\"\u003eMaster the World’s Most Versatile Language with Python in Action\u003c\/h2\u003e\n\u003cdiv class=\"dt-body-premium\"\u003e\n    The Programming Python in Action journey is a comprehensive, elite-level training path designed to transform theoretical knowledge into professional-grade execution. As Python continues to dominate fields from web development to data science and automation, staying ahead requires more than just knowing syntax—it requires mastering the \"Action\" phase. This course moves beyond the basics, focusing on high-performance coding best practices, the latest features in Python 3, and the integration of powerful libraries like Tkinter for GUI development and Pandas for data manipulation. You will learn to build robust, scalable applications while adhering to the industry-standard \"Pythonic\" way of programming, ensuring your code is not only functional but elegant and maintainable.\n\u003c\/div\u003e\n\n\u003cdiv class=\"dt-grid-v7\"\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eWho is this for?\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003e\n\u003cstrong\u003eAspiring Developers\u003c\/strong\u003e looking to build a career in professional software engineering.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eIT Professionals\u003c\/strong\u003e and System Administrators seeking to automate complex infrastructure tasks.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eData Analysts\u003c\/strong\u003e who want to transition from basic scripting to building full-scale data applications.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eExperienced Programmers\u003c\/strong\u003e from other languages (Java\/C++) migrating to the Python ecosystem.\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003ePython Developer\u003c\/li\u003e\n            \u003cli\u003eBack-end Engineer\u003c\/li\u003e\n            \u003cli\u003eAutomation Specialist\u003c\/li\u003e\n            \u003cli\u003eData Engineer\u003c\/li\u003e\n            \u003cli\u003eSoftware Development Engineer (SDE)\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eCourse Curriculum\u003c\/h3\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003ePython Fundamentals \u0026amp; Environment Setup \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Establish a professional development environment by mastering the installation and configuration of the Anaconda distribution and Jupyter Notebooks on both Windows and macOS. Learn to navigate the Python shell, use Python as a high-speed calculator, and manage variables and built-in functions for immediate productivity in real-world scenarios.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eComplex Data Structures \u0026amp; Memory Management \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Go deep into Lists, Tuples, Sets, and Dictionaries. Understand the critical differences between shallow and deep copies to prevent memory leaks and data corruption in large-scale applications. This module covers advanced indexing, slicing, and the internal mechanics of how Python handles data objects.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eAdvanced Control Flow \u0026amp; Logic \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Transition from basic if-statements to complex logical flows. Master nested loops, list comprehensions, and generator expressions that allow you to write more efficient, readable code. You will also dive into error handling using try-except blocks to build resilient software that handles edge cases gracefully.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eObject-Oriented Programming (OOP) in Action \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Unlock the power of OOP to create modular and reusable code. Learn about classes, inheritance, polymorphism, and encapsulation. This module focuses on designing custom objects that model real-world problems, a prerequisite for any high-level software development role.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eData Analysis with Pandas \u0026amp; Visualization \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Leverage the industry-leading Pandas library to clean, transform, and analyze massive datasets. Learn to generate insightful visualizations and reports, turning raw data into actionable business intelligence through Python’s powerful analytical ecosystem.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eWhat are the prerequisites for this Python course?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            While no prior programming experience is strictly required, a basic understanding of computer logic and file management is helpful. This course is designed to take you from a foundational level to an advanced \"in action\" state, making it suitable for both beginners and those with some scripting background.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eDoes this course include hands-on technical labs?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            Yes, the curriculum is heavily weighted toward practical application. You will have access to Skillsoft’s integrated lab environments where you can write, test, and debug code in real-time, simulating a professional development workspace.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eWill I receive a certification upon completion?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            Upon successfully completing the Programming Python in Action path, you will receive a digital certificate of completion. Additionally, the skills learned here directly align with the objectives for major Python certifications, such as the PCEP and PCAP exams.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n\u003c\/div\u003e","brand":"Python","offers":[{"title":"Default Title","offer_id":54757069750597,"sku":null,"price":329.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/phytonAction_ac5689fa-7692-438c-949e-ef8090e1ec4e.webp?v=1748029026"},{"product_id":"prompt-engineering-for-programmers-to-learn-python","title":"Prompt Engineering for Programmers to Learn Python","description":"\u003ch2 class=\"dt-heading-xl\"\u003eAccelerate Your Python Mastery: Using Generative AI to Transition Your Code to Pythonic Excellence\u003c\/h2\u003e\n\u003cdiv class=\"dt-body-premium\"\u003e\n    The \"Prompt Engineering for Programmers to Learn Python\" program is an elite technical track designed for developers who already speak one or more languages and want to fast-track their Python proficiency. Powered by Skillsoft, this course flips the traditional learning model by teaching you how to use Large Language Models (LLMs) as high-level architectural mentors. You will learn to construct precision prompts that translate your existing knowledge of Java, C#, or JavaScript into clean, idiomatic Python. By mastering the art of \"comparative prompting\" and AI-driven code refactoring, you will bypass the syntax hurdle and jump straight into mastering Python’s unique features—such as list comprehensions, decorators, and context managers—ensuring you build production-ready applications with the speed and precision of a senior Pythonista.\n\u003c\/div\u003e\n\n\u003cdiv class=\"dt-grid-v7\"\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eWho is this for?\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003e\n\u003cstrong\u003eExperienced Developers:\u003c\/strong\u003e Pros in C++, Java, or JS who want to quickly add Python to their stack for data science, AI, or backend work.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eWeb Developers:\u003c\/strong\u003e Engineers looking to transition to frameworks like FastAPI or Django using AI as an architectural guide.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eData Professionals:\u003c\/strong\u003e Analysts or SQL experts who need to generate complex Python scripts for automation and data pipelines.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eTechnical Leads:\u003c\/strong\u003e Managers who want to standardize Pythonic best practices across a team using AI-generated style guides.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eSelf-Taught Coders:\u003c\/strong\u003e Programmers looking to fill conceptual gaps in their logic using AI-driven mentorship and real-time code explanation.\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003e\n\u003cstrong\u003ePython Backend Developer:\u003c\/strong\u003e Building scalable, maintainable server-side logic and RESTful APIs with modern Python.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eAI\/ML Engineer:\u003c\/strong\u003e Leveraging Python’s massive ecosystem of libraries to deploy and integrate generative models.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eAutomation Engineer:\u003c\/strong\u003e Designing sophisticated scripts to streamline cloud infrastructure and CI\/CD workflows.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eData Engineer:\u003c\/strong\u003e Crafting high-performance ETL pipelines and data transformation layers using specialized Python packages.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eFull-Stack Engineer:\u003c\/strong\u003e Bridging the gap between reactive frontends and robust, logic-heavy Python backends.\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eCourse Curriculum\u003c\/h3\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eModule 1: Comparative Prompting \u0026amp; Syntax Translation \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Leverage what you already know. Learn to use \"Translation Prompts\" to convert common patterns from your primary language (e.g., C-style for-loops) into idiomatic Python. Master prompts that explain the differences in memory management, typing (dynamic vs. static), and the importance of the Python \"Indentation Rule\" via AI-driven visual examples.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eModule 2: Mastery of Pythonic Idioms \u0026amp; \"The Zen of Python\" \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Don't just write code; write *Pythonic* code. Learn to prompt for refactoring, where the AI takes functional but \"clunky\" code and transforms it using list comprehensions, generators, and the 'enumerate' function. Understand how to use AI to audit your code against PEP 8 standards and the principles of \"The Zen of Python.\"\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eModule 3: AI-Driven Debugging \u0026amp; Error Interpretation \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Turn Tracebacks into learning opportunities. Learn to feed Python’s often cryptic error messages into an LLM to receive a step-by-step logic breakdown. Master prompts that ask for \"Remediation Plans\" to fix common pitfalls like Mutable Default Arguments or the differences between 'is' and '==' equality.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eModule 4: Mastering Advanced Features with AI Mentorship \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Tackle the \"hard stuff\" with ease. Use specialized prompts to explain and generate examples of Decorators, Context Managers (the 'with' statement), and Asynchronous Programming (async\/await). Learn to ask for \"Boilerplate Scaffolding\" for complex class structures and dunder methods (magic methods).\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eModule 5: Environment \u0026amp; Package Management via AI \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Master the ecosystem. Use AI to generate 'requirements.txt' and 'pyproject.toml' files. Learn to construct prompts that help you choose between libraries (e.g., Requests vs. HTTPX) and provide terminal commands for managing virtual environments (venv, poetry, or conda) directly through natural language.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eWill AI-generated code make me a \"lazy\" programmer?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            On the contrary, this course treats AI as a mentor, not a replacement. We focus on \"Explanatory Prompting,\" where the AI must justify every line of code it writes. This forces you to engage with the logic and underlying Pythonic principles, actually deepening your understanding faster than manual rote learning.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eWhat if the AI suggests outdated or insecure Python libraries?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            This is a core part of our training. You will learn to use \"Constraint Prompting\" to specify the Python version (e.g., 3.12+) and demand the use of secure, modern libraries. We also teach you how to prompt the AI to perform a security audit on its own suggestions.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eDo I need to be a senior developer for this course?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            This course assumes you have a basic understanding of programming logic (variables, loops, logic). While tailored for experienced devs, it is accessible to anyone who has finished a basic coding bootcamp in another language.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eAre there practical coding labs included?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            Yes. The course features integrated Skillsoft labs where you will be given a \"broken\" or \"non-idiomatic\" Python script and must use a sequence of AI prompts to refactor, debug, and optimize it into a production-ready solution.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n\u003c\/div\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":54757072044357,"sku":null,"price":329.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/prompt_PY_bad2a342-95cd-44d1-9d85-4f67bb39546e.webp?v=1748029033"},{"product_id":"pythonista-to-python-master","title":"Pythonista to Python Master","description":"\u003ch2 class=\"dt-heading-xl\"\u003eMaster the Pythonic Way: From Pythonista to Professional Python Master\u003c\/h2\u003e\n\u003cdiv class=\"dt-body-premium\"\u003e\n    The journey from writing \"code that works\" to \"code that excels\" defines the Python Master. In 2026, Python has evolved far beyond a scripting language into the dominant force for AI orchestration, high-performance backends, and data engineering. This elite training path, aligned with the \u003cstrong\u003ePython 3.12+ standards\u003c\/strong\u003e, transforms your foundational knowledge into technical authority. You will move beyond basic loops and functions to master \u003cstrong\u003easynchronous programming, advanced metaprogramming, and industrial-grade design patterns\u003c\/strong\u003e. Whether you are building autonomous AI agents or optimizing high-throughput APIs, this course provides the mastery required to write elegant, performant, and highly scalable Pythonic systems.\n\u003c\/div\u003e\n\n\n\n\u003cdiv class=\"dt-grid-v7\"\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eWho is this for?\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003e\n\u003cstrong\u003eIntermediate Developers\u003c\/strong\u003e who want to move past the \"basics\" and master professional-grade Python.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eData Scientists\u003c\/strong\u003e needing to transition from notebook scripts to production-ready software engineering.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eBackend Engineers\u003c\/strong\u003e looking to optimize performance using AsyncIO and modern concurrency models.\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eAutomation Experts\u003c\/strong\u003e aiming to build robust, maintainable, and extensible framework architectures.\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"dt-glass-panel-v7\"\u003e\n        \u003ch3 class=\"dt-heading-card\"\u003eReady for roles like\u003c\/h3\u003e\n        \u003cul class=\"dt-list-premium\"\u003e\n            \u003cli\u003eSenior Python Developer\u003c\/li\u003e\n            \u003cli\u003eAI Engineer (Python-first)\u003c\/li\u003e\n            \u003cli\u003eBackend Software Architect\u003c\/li\u003e\n            \u003cli\u003eData Engineering Lead\u003c\/li\u003e\n            \u003cli\u003ePython Automation Architect\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eCourse Curriculum\u003c\/h3\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eAdvanced Data Structures \u0026amp; The \"Pythonic\" Mindset \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Master the internals of Python’s memory model. Deep dive into list comprehensions, generators, and iterators to write memory-efficient code. Learn to leverage \u003cstrong\u003eCollections, Dataclasses, and TypedDicts\u003c\/strong\u003e to enforce structure and clarity. This module focuses on the \"Zen of Python,\" ensuring your code is not just functional, but idiomatic and maintainable.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eFunctional vs. Object-Oriented Mastery \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Explore the best of both worlds. Master advanced OOP concepts like \u003cstrong\u003eMultiple Inheritance, Mixins, and Abstract Base Classes (ABCs)\u003c\/strong\u003e. Simultaneously, learn functional techniques including decorators, closures, and higher-order functions. You will learn how to design flexible APIs that are easy for other developers to consume and extend.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eConcurrency, Parallelism, \u0026amp; AsyncIO \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Break the Global Interpreter Lock (GIL) limitations. Learn when to use \u003cstrong\u003eMultiprocessing for CPU-bound tasks\u003c\/strong\u003e and \u003cstrong\u003eAsyncIO for I\/O-bound operations\u003c\/strong\u003e. Master the 'async\/await' syntax, task orchestration, and the creation of high-performance asynchronous web servers using FastAPI or Starlette.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eMetaprogramming \u0026amp; Dynamic Magic \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        Learn how to write code that writes code. Master \u003cstrong\u003eMetaclasses, Introspection, and Custom Decorators\u003c\/strong\u003e. This module reveals the \"magic\" behind popular frameworks like Django and Pydantic, giving you the power to create your own DSLs (Domain Specific Languages) and highly dynamic software components.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003cdetails class=\"dt-acc-item-v7\"\u003e\n    \u003csummary\u003eTesting, Profiling, \u0026amp; Performance Optimization \u003cspan class=\"dt-acc-toggle\"\u003e+\u003c\/span\u003e\u003c\/summary\u003e\n    \u003cdiv class=\"dt-acc-content\"\u003e\n        A master's code is validated and optimized. Learn advanced testing patterns with \u003cstrong\u003ePytest and Mocking\u003c\/strong\u003e. Master profiling tools like \u003cstrong\u003ecProfile and memory_profiler\u003c\/strong\u003e to identify bottlenecks. Finally, explore ways to speed up Python using C-extensions, Cython, or Rust-based integrations for critical performance paths.\n    \u003c\/div\u003e\n\u003c\/details\u003e\n\n\u003ch3 class=\"dt-heading-section\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n\u003cdiv class=\"dt-faq-accordion-v7\"\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eWhat is the difference between an Intermediate Pythonista and a Master?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            An intermediate developer can solve a problem. A Master solves it in a way that is memory-efficient, asynchronously non-blocking, and architecturally sound for a team environment. Mastery involves understanding the *internals* of the interpreter and the nuances of the Python ecosystem.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eIs this course focused on Data Science or Web Development?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            It is focused on **Python Engineering**. The skills taught—concurrency, memory management, and design patterns—are the fundamental building blocks for *both* high-frequency trading backends and massive-scale AI training pipelines.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n    \u003cdetails class=\"dt-faq-item-v7\"\u003e\n        \u003csummary\u003eDoes this course cover Python 3.12 and 3.13 features?\u003c\/summary\u003e\n        \u003cdiv class=\"dt-faq-answer\"\u003e\n            Yes. We include the latest advancements such as improved type hinting (PEP 695), the per-interpreter GIL (making true multi-core parallelism possible in some contexts), and the significant performance improvements in the newer runtimes.\n        \u003c\/div\u003e\n    \u003c\/details\u003e\n\u003c\/div\u003e","brand":"Python","offers":[{"title":"Default Title","offer_id":54757078008133,"sku":null,"price":329.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/PY_Master_5e698771-6f8b-43f9-8f14-0421ccdffc4b.webp?v=1748029049"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/collections\/python-logo-only.png?v=1747598085","url":"https:\/\/www.divitrain.com\/en-eu\/collections\/python.oembed","provider":"DiviTrain.com","version":"1.0","type":"link"}