(Weeks 22–28 | Lec 2 Hrs / Lab 2 Hrs / OJT + Capstone 80 Hrs | 84 Total Hrs | 3.6 Credit Hrs)
Students will:
- Complete a real-world AI lifecycle project
- Build end-to-end pipelines from ingestion to deployment and monitoring
- Produce production-ready documentation, dashboards, and presentations
- Defend and present the solution to a panel of experts
Prerequisite: MLOps 109 – Advanced Orchestration
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