Learning Path
Governed AI Platform Engineer
Connect Unity Catalog, MLflow, model serving, evaluation, and release controls for enterprise AI systems.
3 courses7.5 hoursML platform engineers
What you'll cover
- Unity Catalog Governance for Data and AI Assets
- MLflow and Model Serving Operations
- Production AI Monitoring and Incident Review
- Object model
- Lineage and audit
- Tracking and registry
Available in this academy.
You can jump directly into any course or lesson in the path.
Course Sequence
3 steps1
Step 1
Unity Catalog Governance for Data and AI Assets
Model securable objects, privileges, lineage, discovery, and audit signals across data, features, models, and functions.
2 hours2 modules4 lessonsProgress tracking available
View course2
Step 2
MLflow and Model Serving Operations
Track experiments, register models, deploy endpoints, and connect serving health with evaluation and rollback plans.
2 hours2 modules4 lessonsProgress tracking available
View course3
Step 3
Production AI Monitoring and Incident Review
Monitor data quality, model behavior, AI Gateway usage, incidents, and release feedback loops.
1.5 hours2 modules4 lessonsProgress tracking available
View course