AI & Generative AI
Learn LangChain & LangGraph
LangChain provides building blocks for assembling AI workflows — prompts, retrieval, tools and memory. LangGraph adds explicit control over multi-step flows where steps can branch or loop.
Why teams use it
- Common patterns such as retrieval pipelines are already assembled for you.
- Swapping model providers becomes a configuration change rather than a rewrite.
- LangGraph makes multi-step agent behaviour inspectable instead of opaque.
Where you will meet it
An assistant that decides whether to search documents, call an internal API, or answer directly is a graph of steps with conditions between them.
What to learn, and in what order
Work through these roughly in order. Jumping to the advanced list before the basics are solid is the most common way people get stuck.
Beginner
- What orchestration means here
- Chaining a prompt and a model
- Loading documents
Intermediate
- Retrieval pipelines
- Tool calling
- Memory and conversation state
Advanced
- Graph-based flows
- Evaluation and tracing
- Guardrails and failure handling
Courses covering LangChain & LangGraph
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