Learning Path

MLOps Engineering and Deployment

Machine Learning Fundamentals → MLOps Governance and Best Practices

11 Knowledge Nodes · 11 Learning Steps · v0 Active

This path equips ML engineers with the skills to design, deploy, and maintain production ML systems. It covers the full ML lifecycle, from versioning and CI/CD to monitoring and orchestration, integrating DevOps principles with ML-specific practices.

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Learning Route

11 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

3 steps