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Generative AI & LangChain Bootcamp

Intermediate

Artificial Intelligence & Generative AI · 7 lessons · 52 min

Build real LLM applications — RAG, agents and tool use — with LangChain and LangGraph.

What this course covers

Move past single-prompt demos into applications that retrieve real data, call tools, and maintain state across a conversation — the patterns (RAG, agents, memory) that turn an LLM API call into a genuinely useful product.

Sana Iyer

AI/ML Engineer

genailangchainragllm

Course outline

Module 1: Foundations of LLM Applications

📄Prompts, tokens and context windows7 min
📄Why raw LLM calls aren't enough for real apps6 min

Module 2: Retrieval-Augmented Generation (RAG)

📄Embeddings and vector similarity8 min
📄Chunking, indexing and retrieval8 min
📄The full RAG pipeline end to end8 min

Module 3: Agents and Tool Use

📄What makes something an 'agent'7 min
📄LangGraph: state machines for multi-step reasoning8 min

📝 Generative AI & LangChain Check(pass at 70%)

🔒 Generative AI & LangChain — Final Exam(proctored · 30 min · pass at 70% · camera required)

Final proctored exam — the exam screen locks immediately if you switch tabs, exit fullscreen, or lose window focus. Passing it (plus finishing every lesson) is what unlocks your certificate.

Enroll to unlock the exam.