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Certification

Certification in Building and Deploying Autonomous Multi-Agent AI Systems

Get certified in CrewAI Agentic AI Framework and demonstrate your ability to design, build, and deploy autonomous multi-agent AI systems that automate workflows, enable intelligent collaboration, and drive measurable business outcomes.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert, technical

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01What is an AI agent7:06
  2. 02Installation and Gemini key1:50
  3. 03Project setup2:58
  4. 04A simple agent6:40
  5. 05Agent with a tool7:40
  6. 06Crew4:52
  7. 07Crew with tools4:24
  8. 08Crew using YAML12:30
  9. 09Project: content calendar problem3:34
  10. 10Project: coding19:29
About the course

The CrewAI Agentic AI Framework Certification empowers you to design and implement autonomous multi-agent systems that collaborate to automate complex tasks and drive business value. By mastering CrewAI’s modular approach, you gain skills that enhance productivity, boost your competitive edge, and help future-proof your career in the evolving AI landscape. Enroll now to unlock practical expertise in building intelligent, business-ready agents that deliver tangible results.

This certification covers the following topics:

  • Key differences and advantages of agentic AI systems
  • Core concepts: agents, tools, and autonomy
  • Role-based orchestration using the CrewAI framework
  • Designing and building agents: structure and best practices
  • Defining and managing tasks to guide agent actions
  • Coordinating multi-agent collaboration for complex workflows
  • Integrating and utilizing tools to extend agent capabilities
  • Configuration management with YAML for flexible setups
  • Advanced parameters for fine-tuning agent behavior
  • Structuring outputs with Pydantic for reliable results
  • Implementing memory for richer, context-aware conversations
  • Hands-on project: Building a marketing crew with CrewAI

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.