MLOps Fundamentals with MLflow

Track experiments, register models, and deploy them reliably with MLflow across cloud and on-prem environments.

4.5 · 341 learners enrolled·12 hours total·4 modules · 14 lessons·Certificate on completion·English

Updated October 2025

What you'll learn

Track experiments and reproduce ML runs

Deploy models to batch and real-time serving

Monitor drift and performance in production

Sarah Chen

Staff ML Engineer, Packt Publishing

Sarah has built ML platforms serving billions of predictions per day. She writes and speaks on ML reliability and evaluation.

12 courses on iGroup Learn · 8,400+ learners taught

4.5(341 reviews)

“Best course I've taken on this topic. The instructor explains the 'why' before the 'how'.”

— Priya S.

“Immediately applicable — deployed my first customer support bot the same weekend.”

— David C.

“Wish there was a bit more depth on production monitoring, but 90% of what I needed.”

— Marcus L.

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