Course Code: crewaiwa
Duration: 14 hours
Prerequisites:
  • Experience with Python programming
  • Understanding of workflow automation concepts
  • Familiarity with APIs and basic DevOps practices

Audience

  • Automation engineers
  • Process analysts
  • DevOps specialists
Overview:

CrewAI is an open-source framework for building and coordinating autonomous agents to complete complex, multi-step tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate business and technical workflows using CrewAI through real-world use cases and tool integrations.

By the end of this training, participants will be able to:

  • Understand the architecture and core principles of CrewAI.
  • Design workflows involving multiple collaborating agents.
  • Integrate CrewAI with APIs, tools, and external systems.
  • Implement and orchestrate real-world automation use cases.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to CrewAI

  • Overview of multi-agent systems
  • Key concepts: Agents, Roles, Tasks, and Tools
  • How CrewAI fits into workflow automation

Setting Up a CrewAI Project

  • Installing dependencies and initializing a project
  • Basic configuration and environment setup
  • Understanding the Crew class and flow structure

Designing Agents for Workflow Automation

  • Defining agent responsibilities and personalities
  • Creating specialized agents for specific tasks
  • Collaborative task execution strategies

Tool Integration and Inter-Agent Communication

  • Using built-in and custom tools
  • Exchanging context and memory between agents
  • Real-time collaboration and sequential logic

Orchestrating Real-World Workflows

  • Building flows for business processes (e.g., ticket triage)
  • Automating DevOps pipelines and monitoring tasks
  • Dynamic task branching and condition handling

Connecting to External Systems

  • Working with APIs, webhooks, and third-party tools
  • Scheduling and triggering CrewAI from external events
  • Logging, monitoring, and debugging workflows

Case Studies and Hands-On Labs

  • Retail order processing automation
  • Customer support ticket classification and response
  • CI/CD orchestration using CrewAI agents

Summary and Next Steps

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