Cursusaanbod

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

Vereisten

  • Een basisbegrip van Python programmeren
  • Vermogen om met de concepten van AI-agents of LLMs om te gaan
  • Interesse in het bouwen van agentengebaseerde systemen

Doelgroep

  • Ontwikkelaars
  • Techneven
  • AI-enthousiasten
 7 Uren

Aantal deelnemers


Prijs Per Deelnemer

Voorlopige Aankomende Cursussen

Gerelateerde categorieën