Merci d'avoir envoyé votre demande ! Un membre de notre équipe vous contactera sous peu.
Merci d'avoir envoyé votre réservation ! Un membre de notre équipe vous contactera sous peu.
Plan du cours
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
Pré requis
- 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
7 Heures
