Building AI Agents and Custom Chains with LangChain

As large language models become more capable, the key to building powerful AI applications lies in teaching them to use external tools and make decisions autonomously. This text-only course guides you through the process of orchestrating these advanced behaviors using the latest LangChain standards. You will transition from sending basic prompts to building self-directing agents that can solve complex multi-step problems. Through structured explanations and clear code examples, you will learn how to structure data, integrate external APIs, and control application flow. What you will learn: Understand the foundational concepts of LLM APIs, function calling, and structured data extraction; Master LangChain Expression Language to compose, customize, and debug modular chains; Configure models to select and execute external tools based on user input; Build autonomous agents that plan, execute actions, and handle unexpected outputs; Apply modern design patterns to manage state and memory within your AI workflows. You will start with core concepts and basic terminology before moving on to hands-on construction, testing, and optimizing your custom agents. This course is designed for software developers, data professionals, and tech enthusiasts who want to build next-generation AI applications, with no advanced machine learning background required. Start reading today to unlock the full potential of language model orchestration.