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Functions, Tools and Agents with LangChain

Reviewed by AI Agent Rank editors · Last verified 2026-05-24

Our take

The middle-of-the-curriculum short course bridging from prompt patterns to full agent loops. Covers OpenAI function calling, LangChain tools, OutputParsers, and the conversational-agent loop. Free, 90 minutes, taught by Harrison Chase. Take this after the LangChain for LLM App Development short course and before the LangGraph one — they form the canonical 3-course LangChain sequence.

About the instructor

Harrison Chase
Founder, LangChain

LangChain founder teaching the function-calling and tool-use primitives that underpin every agent built on the framework in 2026.

Pros

  • +By LangChain's founder — most authoritative source possible
  • +Bridges the gap between API-level prompting and full agentic loops
  • +Free, 90 minutes, fits in a single sitting

Cons

  • −Assumes prior LangChain basics — not a starting point
  • −Function-calling examples are OpenAI-flavored; patterns transfer to Anthropic

Best for

  • · Engineers shipping their first LLM-with-tools app
  • · Anyone in the middle of the LangChain learning path

Not ideal for

  • · Complete beginners — start with LangChain for LLM App Development first
Ready to enroll?

Free on DeepLearning.AI · ~1.5 hours (5 lessons)

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After this course

These are the agents and tools where the skills from this course actually pay back.

Claude Code

Anthropics Terminal-Agent — komponierbar, scriptfähig, gebaut um Claudes Tool-Use-Loop.

Cursor Agent

Hintergrund-Agent, der den Cursor-Editor durch Multi-File-Änderungen steuert.

Alternatives we considered

Other courses on the same topic. The right pick depends on your level and constraints — see each card for the trade-offs.

Functions, Tools and Agents with LangChain — review (2026) | AI Agent Rank · AI Agent Rank