Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
IBM
Learn to build intelligent, autonomous multi-agent systems using powerful frameworks that can plan, collaborate, and execute complex tasks. This course provides a structured approach to designing AI-powered systems using agentic design principles, orchestration strategies, and proven workflow patterns. Youâll explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs. Youâll start with LangGraph, applying key
About this Course
Learn to build intelligent, autonomous multi-agent systems using powerful frameworks that can plan, collaborate, and execute complex tasks. This course provides a structured approach to designing AI-powered systems using agentic design principles, orchestration strategies, and proven workflow patterns. Youâll explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs. Youâll start with LangGraph, applying key
What You'll Learn
- Design optimized AI systems by selecting and combining appropriate agentic frameworks and architectural patterns
- Implement AI workflow patterns using agentic design principles and LangGraph
- Build structured multi-agent workflows using CrewAI, including agents, tasks, and custom tools
- Develop AI applications with BeeAI and design conversation-driven interactions using AG2 (AutoGen)
Instructors
Faranak Heidari
IBM Skills Network
Karan Goswami
Joseph Santarcangelo
IBM Developer Skills Network
Wojciech 'Victor' Fulmyk