Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Programa del Curso
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
Requerimientos
- 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 Horas