What you’ll learn
This level combines clear concepts with guided practice so that learners can apply their knowledge beyond the classroom.
- MLOps workflows and lifecycle
- CI/CD for machine learning
- Docker and cloud deployment
- Monitoring and automation
Level 3 of 6
MLOps Engineer
Deploy at scale.
Learn how to package, deploy, monitor and automate machine learning systems using modern MLOps and cloud engineering practices.
Frequently asked questions
Who is this course level for?
AI and ML learners ready to move from model development to reliable production systems.
Is practical learning included?
Yes. The learning path combines guided concepts with 80+ devops and mlops labs and a practical project: End-to-End MLOps Pipeline.
What will I be able to demonstrate after completing it?
The intended outcome is production-ready machine learning engineering skills, supported by work you can discuss as part of your learning portfolio.