Advanced Machine Learning Operations
Databricks
Last updated June 30, 2026
Advanced Machine Learning Operations is a free, two-hour course for practitioners who already have MLOps fundamentals and want to go deeper. It covers the harder parts of operating models at a professional standard: managing data and models rigorously, testing across the machine learning lifecycle, and the best practices that separate a fragile pipeline from a dependable one. It assumes a solid MLOps foundation, Python, and familiarity with Databricks, and the techniques are taught on that platform. It's the follow-on for someone who has the basics down and wants to operate models the way a serious team does.
What you'll learn
- Rigorous data and model management across the machine learning lifecycle
- Testing strategies for machine learning systems
- Best practices that separate a fragile pipeline from a dependable one
- Operating models to a professional standard
- Applying advanced MLOps techniques on the Databricks platform
Frequently asked questions about Advanced Machine Learning Operations
Who is Advanced Machine Learning Operations for?
Practitioners with a solid MLOps foundation who want to go deeper into data and model management, testing, and lifecycle best practices.
Is Advanced Machine Learning Operations free?
Yes — Advanced Machine Learning Operations is completely free to take.
What are the prerequisites for Advanced Machine Learning Operations?
A solid MLOps foundation; Python; familiarity with Databricks. A free Databricks Academy account is required to start.
Do you need to code for Advanced Machine Learning Operations?
Yes — Advanced Machine Learning Operations involves hands-on coding.
Why we suggest this course
A genuine step up for practitioners past the MLOps basics, going into data and model management, testing, and the best practices that make a pipeline dependable. One thing to know: it builds on a solid MLOps foundation and is taught on Databricks with a free Academy account, so it assumes both the prior knowledge and the platform.