(Weeks 13–15 | Lec 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Hrs | 1.2 Credit Hrs)
Students will:
- Deploy large language models (LLMs) at scale
- Implement retrieval-augmented generation (RAG) pipelines
- Fine-tune and deploy custom LLMs
- Optimize GenAI solutions for latency and reliability
Prerequisite: MLOps 106 – Scaling AI Workloads
Tools: LangChain, Hugging Face, OpenAI API
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