Mar 27
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Build a ReAct AI agent from scratch in this hands-on session using LangGraph and MiniMax-M2.5. Learn how modern AI agents reason, act, and use tools through the ReAct loop (Reason → Act → Observe), and see how agent frameworks orchestrate multi-step tasks. What we’ll cover: - Building a ReAct AI agent with LangGraph - The Reason → Act → Observe agent loop - Tool integration and structured tool execution - Managing state and context across steps - Creating a simple TODO planner and virtual file system - Design patterns for building reliable AI agents By the end of the session, you’ll have a working AI agent built from scratch and a clear understanding of modern agent architectures. #AgenticAI #AIAgents #LangGraph #ReActArchitecture #sambanova ----------- 👉 Learn more about Data Science Dojo here: https://datasciencedojo.com/ 👉 Watch the latest video tutorials here: https://datasciencedojo.com/tutorials/ 👉 See what our past attendees are saying here: https://datasciencedojo.com/data-scie... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- 🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/