Back to mind mapsMLOps and Production ML
MLOps and Production ML
Overview
Month 1: Reproducibility and pipelines
Week 1: ML engineering foundations
Week 2: Data and model versioning
Week 3: Experiment tracking
Week 4: Pipelines and orchestration
Month 2: Serving and automation
Week 5: Model packaging and serving
Week 6: CI and CD for ML
Week 7: Scalable serving and inference
Week 8: Feature stores and data freshness
Month 3: Monitoring and LLMOps
Week 9: Monitoring and drift
Week 10: LLMOps
Week 11: Governance and reliability
Week 12: Capstone
Resource master reference
Interview focus
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