Building Multi-Agent AI Systems with CrewAI

About the Course:

This workshop is an in-depth exploration of building sophisticated multi-agent AI systems using CrewAI. Over four hours, you’ll learn how to create cooperative agents that can solve complex problems through collaboration. We'll cover everything from designing agents with unique roles and backstories to structuring effective processes and integrating external tools. Expect practical coding sessions, real-world examples, and expert guidance on orchestrating CrewAI-based systems.

Course Objective:

• Understand the fundamentals of CrewAI and its role in orchestrating multi-agent systems.
• Learn how to define agents with distinct roles, goals, and personalities.
• Master task management and process orchestration with CrewAI.
• Explore real-world examples of CrewAI in various domains.
• Gain practical experience in integrating external tools and APIs into multi-agent systems.
• Develop a fully functional multi-agent crew with sequential and parallel processes.

Who is the Target Audience?

• AI and ML Developers are interested in multi-agent systems.
• Software Engineers looking to build collaborative AI systems.
• Data Scientists and Automation Engineers exploring autonomous AI orchestration.
• Technical Leads and Product Managers working with AI-driven applications.

Basic Knowledge:

• Understanding of Python programming.