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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 (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
Requirements
- 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 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €2280 online delivery, based on a group of 2 delegates, €720 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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