Building Multi-Step AI Agents with LangGraph

Are you ready to move beyond simple chat completions and build AI applications that can reason, use tools, and execute complex workflows? This course teaches you how to design and orchestrate multi-step AI agents using LangGraph. You will learn how to structure agentic workflows, manage memory and state across interactions, and safely integrate human oversight into automated processes. What you will learn: • Understand the foundational concepts of AI agents, large language models, and orchestration. • Build stateful, multi-step agent workflows using LangGraph and LangChain. • Manage application state and memory to maintain context across complex interactions. • Implement human-in-the-loop patterns for safe and reliable AI execution. • Apply modern tool calling techniques to allow agents to interact with external systems. • Integrate retrieval-augmented generation (RAG) basics to provide agents with custom knowledge. The course begins with essential terminology and the core principles of agentic architecture. From there, you will read through step-by-step written explanations and practical code snippets that guide you in constructing robust, graph-based AI workflows. Designed for beginners, this text-based course requires no prior experience with AI development or advanced programming. Start your journey into AI orchestration and build your first intelligent agent today.