Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

This course is part of IBM RAG and Agentic AI Professional Certificate

Instructor: Rachael

Included with Coursera Plus

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Intermediate level

Recommended experience

Flexible schedule

Learn at your own pace

Intermediate level

Recommended experience

Flexible schedule

Learn at your own pace

What you'll learn

Analyze foundational AI design patterns to evaluate their effectiveness in structuring scalable AI workflows
Construct multi-agent systems using CrewAI by configuring agents and tasks
Develop AI-driven applications using BeeAI and AutoGen
Design optimized AI solutions by combining appropriate frameworks and design patterns

Details to know

Shareable certificate

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Taught in English

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This course is part of the IBM RAG and Agentic AI Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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Frequently asked questions

By mastering agentic design patterns and multi-agent frameworks like CrewAI, LangGraph, AG2, and BeeAI, you’ll be well-equipped for roles such as AI Workflow Engineer, Multi-Agent Systems Developer, Automation Architect, or Technical Product Manager. These roles involve designing intelligent applications that automate complex workflows, collaborate across agents, and integrate with external systems.

Not at all! While familiarity with Python is recommended, this course is designed to be approachable for developers without prior machine learning experience. You’ll focus on architecting AI systems using frameworks and tools, rather than training models, making it ideal for software developers looking to build intelligent, agent-driven applications.

Unlike traditional courses that emphasize linear coding logic, this course introduces you to AI agent orchestration and interaction design. You'll learn to implement dynamic, goal-driven agents that can interact, make decisions, call tools, and manage tasks autonomously—transforming your approach from building static software to creating adaptive, collaborative AI ecosystems.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.