Agentic AI using LangGraph – Build AI Agents & Automate Workflows

<p>We are rapidly moving past standard, single-prompt Large Language Models and entering the era of autonomous AI agents.</p> <p>To help you master this new paradigm, we have just published a massive, comprehensive course on the freeCodeCamp.org YouTube channel that will teach you all about agentic AI.</p> <p>This course is designed to take you from the foundational concepts of agentic AI all the way through to building production-ready, end-to-end agent workflows using LangChain and LangGraph.</p> <p>Here are a few key takeaways you can expect from the course:</p> <ul> <li><p>The architectural differences between standard LLMs and Agentic AI.</p> </li> <li><p>How to build both single and multi-agent systems using LangChain.</p> </li> <li><p>The core components of LangGraph and why it is essential for stateful, cyclical agent workflows.</p> </li> <li><p>Advanced techniques including Human-in-the-Loop (HITL), Retrieval-Augmented Generation (RAG), and streaming responses.</p> </li> <li><p>Best practices for deploying agentic systems to production environments like AWS and Render using Docker and GitHub Actions.</p> </li> </ul> <p>This is a hands-on, project-driven course. By the end of the 24 hours, you will have built fully functional, deployable AI agents from scratch.</p> <p>Head over to the freeCodeCamp.org <a href="https://www.youtube.com/watch?v=Zy7EXDONlTY">YouTube channel to watch the full course</a> (24-hour watch).</p> <div class="embed-wrapper"><iframe width="560" height="315" src="https://www.youtube.com/embed/Zy7EXDONlTY" style="aspect-ratio: 16 / 9; width: 100%; height: auto;" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="" loading="lazy"></iframe></div>