Introduction to Langchain and LangGraph (Crash Course 2026)

George Paterakis introduces agents through their loops, tools and structured workflows. LangChain messages and tool calls lead into LangGraph branching, memory and review patterns. It suits Python learners seeking an initial conceptual and coding sequence, while the short runtime makes independent exercises useful for checking whether the control flow is understood.

What you will learn

• Understand agent loops and tool calling.
• Explore LangChain messages and structured outputs.
• Build stateful graph workflows with routing.

Who this suits

Basic Python is recommended, including functions, classes, collections and package installation; LLM API access helps with exercises.

Before you enroll

Model APIs, search tools and hosting may cost extra. Check framework and model versions before reproducing recorded code. Use fictional data and restrict tool permissions while learning. Inspect state transitions, failures and retry behavior rather than judge an agent from one successful answer. Generated output and autonomous actions need validation; a project demonstration does not establish production reliability.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Draw an agent loop with a stopping condition and test a case where the requested tool cannot complete its task.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

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Supporting provider sources

• support.udemy.com: supporting course information