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149 Join us for a hands-on AI Explorer session where we explore the latest updates in LangChain and how the new create_agent approach makes it easier to build practical AI agents. In this session, we will look at how agents work, how LangChain uses models and tools together, and how you can quickly create an agent that can reason, use tools, and complete tasks. This session is designed for builders who want to move beyond simple prompts and start creating real AI workflows. Key Takeaways Understand what changed in the latest LangChain agent approach Learn how create_agent helps you build agents faster See how agents use tools to complete user tasks Understand the basic agent loop: model call, tool execution, and final response Learn where LangChain ends and LangGraph begins Get ideas for building practical AI agents for business and automation We will also have a Kahoot quiz and giveaway worth up to $1,400, so join live, participate actively, and test your understanding. Special spotlight: A quick overview of our AI Residency (hands-on, production-grade LLM/RAG/agents) and the launch of an 3-day AI Bootcamp with mentorship and community showcases. Who should attend Developers/Data Scientists: Ship LLM apps, tools, and automations. Founders/Operators: Validate ideas, find talent, and accelerate GTM. Investors/Advisors: Spot early signals and connect with high-intent builders.