Cursusaanbod

Introduction to CrewAI and Multi-Agent Architecture

  • Overview of CrewAI concepts and architecture
  • Understanding agent roles and flows
  • Use cases and design patterns

Designing Custom Agents and Tools

  • Defining agent goals, memory, and behavior
  • Creating and integrating custom tools
  • Tool abstraction and modular design

Advanced Agent Collaboration

  • Sequencing and synchronization of tasks
  • Nested and parallel flows
  • Multi-agent decision making

API and System Integration

  • Calling external APIs from agents
  • Incorporating real-time data sources
  • Building pipelines and dynamic inputs

Event-Driven Orchestration

  • Trigger-based workflows and custom events
  • Error handling and fallback logic
  • Using webhooks and schedulers

Monitoring, Testing, and Optimization

  • Observing agent behavior and performance
  • Debugging workflows and logging
  • Scaling strategies and optimization tips

Practical Implementation and Case Studies

  • Implementing a domain-specific use case
  • Case study: enterprise automation with CrewAI
  • Lessons learned and best practices

Summary and Next Steps

Vereisten

  • Experience with Python programming
  • Understanding of AI and machine learning fundamentals
  • Familiarity with API integration and software architecture concepts

Audience

  • AI engineers
  • Researchers
  • Software architects
 14 Uren

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