AI Agents
Learn how to design, build, and deploy AI agents — systems that plan, reason, and execute multi-step tasks using tools and APIs.
11 courses · all free to start
Quickstart: LangChain Essentials - Python
Get started with LangChain basics in Python — chains, tools, and app-building workflows.
Quickstart: LangChain Essentials - TypeScript
Get started with LangChain in TypeScript — chains, tools, and application workflows.
Quickstart: LangGraph Essentials - TypeScript
Learn LangGraph basics in TypeScript for building stateful agent workflows.
Quickstart: LangSmith Essentials
Learn LangSmith observability and tracing basics for debugging AI applications.
Quickstart: LangSmith Agent Builder
Build and prototype agents with no-code / low-code tools using LangSmith.
Foundation: Introduction to LangChain - Python
Foundational LangChain development in Python — learn app-building patterns from the ground up.
Foundation: Introduction to Agent Observability & Evaluations
Learn agent evaluation and observability foundations for building reliable AI systems.
Foundation: Building Reliable Agents
Learn reliability patterns for building production-ready AI agents with LangChain.
Project: Deep Agents with LangGraph
Build deep agent systems and complex architectures using LangGraph in this project course.
Project: Ambient Agents with LangGraph
Build always-on ambient agent workflows with persistent state using LangGraph.
Project: Deep Research with LangGraph
Build research agents that synthesise information across sources using LangGraph.