Build intelligent, autonomous agents using the ReAct pattern and modern frameworks like LangChain, LangGraph, CrewAI, and Phidata. Master tool integration, multi-agent systems, and memory management.
Learn what an AI agent is and how it differs from a simple chatbot. Understand the ReAct (Reason + Act) pattern and the core loop of observe, think, act. Master the basics of tool use and function calling.
Deep dive into the most popular agent frameworks: LangChain for rapid prototyping, LangGraph for stateful workflows, CrewAI for multi-agent teams, and Phidata for production-ready code. Learn when to use each framework.
Master the art of connecting agents to the outside world. Learn function calling, create custom tools with Pydantic, integrate web search, database access, and API calls. Follow best practices for secure and reliable tool design.
Design collaborative systems where multiple specialized agents work together like a human team. Learn agent orchestration, task delegation, and communication patterns. Build a complete blog-writing crew with research, writing, and editing agents.
Give your agents the ability to remember. Implement short-term memory using conversation buffers and long-term memory with vector databases. Learn state management techniques in LangGraph, Phidata, and OpenAI Assistants API.
Test your knowledge with a comprehensive quiz covering all 5 chapters in this module.
Requirements: Complete all chapters to unlock the quiz