AI Agents & Tool Use
Build reliable LangChain tools, bind them to models, and orchestrate multi-tool workflows
Learn how language models move beyond text generation by calling external tools. This practical course explains LangChain tool binding, the complete tool-calling lifecycle, built-in and custom tools, application planning, real-world API design, and multi-tool orchestration with message history.
Course Snapshot
Instructor
Vivid Labs
Access
Free — full course
Catalog Slot
AI Agents & Tool Use
Chapter List
See where language models reach their limits and how external tools add current data, calculations, and real-world actions to an LLM workflow.
Understand how tools are bound to a chat model and how LangChain's Runnable contract keeps inputs, outputs, and composition predictable.
Follow a tool request from model output through execution and back into the conversation so the model can use the result correctly.
Tags
Compare ready-made LangChain tools with custom tools and learn how names, descriptions, and schemas guide reliable model behavior.