Build Multi-Agent AI Systems with LangGraph-Earn a Certificate

AI-Powered Autonomous Agents: Build Multi-Agent Systems with CrewAI, LangGraph & RAG Join this exciting live session where you’ll learn how to build powerful AI agent systems that can think, collaborate, and generate complete outputs autonomously. Watch a live demo of a 3-agent CrewAI pipeline—a Researcher (web search), Writer (report generation), and Reviewer (fact-checking)—working together to create a full report based on a topic suggested by the audience in real time. Dive deep into what makes an AI agent effective, including concepts like ReAct reasoning, tool usage, and memory. Explore how LangGraph enables stateful, production-ready agents using nodes and edges, and how CrewAI helps you design role-based multi-agent teams for complex workflows. We’ll also cover key aspects like guardrails, observability, and common failure modes to ensure your agents are reliable and scalable. Plus, learn about advanced Agentic RAG patterns that combine retrieval with intelligent decision-making for accurate, context-aware outputs.

In this session, you’ll learn:
• How multi-agent systems work in real-world scenarios
• CrewAI pipeline for autonomous task execution
• LangGraph for stateful agent workflows
• Prompting, tools, and memory in agents • Guardrails and monitoring for AI systems

Perfect for AI engineers, developers, and anyone looking to build next-gen autonomous applications. Register now and join us live