MLOps (Machine Learning Operations)

Operationalize Machine Learning at Scale

The MLOps Machine Learning Operations Learning Kit is designed for professionals who want to deploy, manage and maintain machine learning models in production environments. Powered by Skillsoft, this Learning Kit focuses on the operational side of machine learning, where models move from experimentation to reliable, scalable business solutions.

You learn how MLOps practices combine machine learning, DevOps and data engineering to ensure models remain accurate, secure and performant over time. This Learning Kit bridges the gap between data science and production-grade systems.

Key Advantages of This Learning Kit

• Production-Focused: learn how ML models are managed after deployment.
• Practical: real-world MLOps workflows and operational scenarios.
• Relevant: aligned with modern AI, cloud and DevOps practices.
• Flexible: 365 days access, learn at your own pace on any device.
• Supported: 24/7 live tutor support throughout your learning journey.

What You Will Learn

This Learning Kit builds practical understanding of MLOps fundamentals:

• Core MLOps concepts and lifecycle management
• Deploying machine learning models into production
• Monitoring model performance, drift and reliability
• Versioning, retraining and automation of ML pipelines
• Security, governance and compliance in ML operations

Who This Learning Kit Is For

• Machine Learning Engineers: managing models in production.
• Data Scientists: transitioning from experimentation to deployment.
• DevOps and Platform Engineers: supporting ML pipelines.
• AI and Data Professionals: responsible for scalable ML systems.

Important: Basic understanding of machine learning concepts is recommended. This Learning Kit focuses on operationalizing ML, not on building models from scratch.

From model to mission-critical system. Start the MLOps Machine Learning Operations Learning Kit and gain the skills needed to run machine learning reliably in production.