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Course Outline
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 (e.g., OpenAI).
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 behaviour.
Building a Sample Project
- Designing a simple team of agents for content research.
- Executing the project and analysing results.
- Exploring variations and improvements.
Summary and Next Steps
Requirements
- Basic understanding of Python programming.
- Familiarity with the concept of AI agents or Large Language Models (LLMs).
- Interest in developing agent-based systems.
Audience
- Developers.
- Technical leads.
- AI enthusiasts.
7 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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