AI track · Intermediate
Generative AI & AI Agent Engineering
Build production-ready AI agents and retrieval-augmented (RAG) applications that connect language models to your own data and tools.
You will be able to
What you’ll walk away with.
- Call LLM APIs and design structured, tool-using agents
- Build retrieval-augmented generation over private documents
- Evaluate, monitor and reduce hallucinations
- Ship an AI agent with a web interface
Tools you’ll use
Curriculum
- 01
LLM APIs, tokens and model selection
- 02
Embeddings, vector databases and RAG
- 03
Tool use, function calling and agent loops
- 04
Evaluation, guardrails and observability
- 05
Deploying AI apps
- 06
Capstone: a working AI agent
Enrollment
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