(Weeks 19–21 | Lecture 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Contact Hrs | 1.2 Semester
Credits)
Students will:
- Build and deploy ML model APIs using FastAPI.
- Containerize applications with Docker and orchestrate with Kubernetes.
- Implement cloud deployment pipelines using AWS, Azure, and GCP services.
Prerequisite: MLDL 108 – Generative AI Systems
Tools: FastAPI, Docker, AWS, Azure, GCP
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