(Weeks 7–8 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:
- Build CI/CD pipelines for ML systems
- Automate model retraining and redeployment
- Integrate GitHub Actions and GitLab CI for MLOps
- Apply canary deployments and blue-green rollout strategies
Prerequisite: MLOps 103 – Containerization & Model Serving
Tools: GitHub Actions, Jenkins, MLflow
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