Getting Started with CrewAI

• Basic understanding of Python programming
• Familiarity with the concept of AI agents or LLMs
• Interest in building agent-based systems

Audience

• Developers
• Technical leads
• AI enthusiasts

CrewAI is an open-source framework for creating and orchestrating collaborative AI agents to complete complex tasks autonomously.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to explore the fundamentals of CrewAI and build simple multi-agent systems.

By the end of this training, participants will be able to:

• Understand the architecture and design principles of CrewAI.
• Define roles, tasks, and flows within a crew of agents.
• Create collaborative workflows using CrewAI's framework.
• Build, test, and run basic multi-agent scenarios.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to CrewAI

• Overview of CrewAI and its purpose
• Real-world use cases of autonomous agent collaboration
• Core components: agents, roles, tasks, flows

Installing and Setting Up CrewAI

• Installation and environment setup
• Project structure and basic configuration
• Connecting to LLM providers (OpenAI, etc.)

Defining Agent Roles and Responsibilities

• Creating custom agent roles
• Assigning capabilities and responsibilities
• Managing context and prompts

Designing Tasks and Workflows

• Understanding task structures and dependencies
• Implementing workflows using flows
• Chaining and coordinating multi-agent actions

Testing and Debugging Crews

• Running agents in development mode
• Monitoring interactions and logs
• Iterating on design and behavior

Building a Sample Project

• Designing a simple team of agents for content research
• Executing the project and analyzing results
• Exploring variations and improvements

Summary and Next Steps