📑AI Agents Workshop 2: Building a Self-Correcting Assignment Agent (Transportation Provided)

​Are you ready to level up from drag-and-drop to writing real agent code?

​🤖✍️ Join us for the second session of our AI Agents Workshop Series and learn how to build a stateful, self-correcting AI agent that can rewrite, format, and polish academic drafts on its own! 💡

​What You'll Learn

​🔹 Graph-based agent architecture with LangGraph

​🔹 Nodes, edges, state & conditional routing

​🔹 Coding a ReAct (Reason + Act) loop in Python

​🔹 Building self-correction loops for grammar & style checking

​🔹 Error handling and fallback strategies for formatting issues 🛠️ Tech Stack LangGraph, LangChain

​✅ Requirements

​Laptop (8GB RAM minimum) Python (latest version) VS Code / Preferred IDE Required Python libraries (to be shared before the workshop) Access to LLM APIs

​⚡ Code, debug, and deploy a self-correcting AI agent in a hands-on learning environment guided by industry-relevant tools and workflows. 👥 Limited Seat Only

​#AIAgents #LangGraph #LangChain #APUHackthletes #Workshop #APU #MachineLearning #PerfectLearning