MLOps – Syllabus
Table Of Contents:
- Foundations Of MLOps.
- ML Model Development & Experimentation.
- Packaging and Reproducibility.
- Model Deployment Techniques.
- Cloud MLOps (Intermediate).
- Pipelines and Orchestration.
- Monitoring and Observability (Advanced).
- Security, Governance, and Compliance.
- Advanced Topics in MLOps
- Real-World Capstone Projects
