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

Instructors: Faranak Heidari

Included with Coursera Plus

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Implement AI workflow patterns using agentic design principles and LangGraph
Build structured multi-agent workflows using CrewAI, including agents, tasks, and custom tools
Develop AI applications with BeeAI and design conversation-driven interactions using AG2 (AutoGen)
Design optimized AI systems by selecting and combining appropriate agentic frameworks and architectural patterns

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your Software Development expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from IBM

There are 3 modules in this course

Learn to build intelligent, autonomous systems using powerful frameworks that can plan, collaborate, and execute complex tasks.

This course provides a structured approach to designing AI-powered systems using agentic design principles, orchestration strategies, and proven workflow patterns. You’ll explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs. You’ll begin by exploring the fundamentals of agentic frameworks and multi-agent systems, with hands-on practice implementing design patterns—including sequential, routing, and parallelization—using LangGraph. Next, you’ll work with CrewAI to orchestrate agents, tasks, and tools, generate structured outputs using YAML and Pydantic, and extend capabilities with custom functions. Finally, you’ll explore BeeAI for orchestrating agents and workflows, and AG2 for creating multi-agent conversations and role-based collaboration. Through labs and real-world use cases, you will gain the skills needed to build scalable, maintainable, and efficient AI applications. Enroll today to gain cutting-edge agentic AI skills employers are looking for.

In this module, you’ll explore foundational concepts behind agentic frameworks and multi-agent systems, learning their role in AI application design. You’ll then examine essential design patterns that help structure AI workflows into modular and maintainable systems. Through hands-on labs using LangGraph, you'll gain experience implementing core workflow patterns that serve as building blocks for more complex AI solutions.

What's included

3 videos1 reading3 assignments2 app items2 plugins

3 videosTotal 19 minutes

Course Introduction3 minutes
Understanding Agentic AI and Open Source Frameworks8 minutes
Building AI Agents with Open Source Frameworks7 minutes

1 readingTotal 4 minutes

Course Overview4 minutes

3 assignmentsTotal 50 minutes

Graded Quiz: Agentic Frameworks and Design Patterns for Effective AI Systems30 minutes
Practice Quiz: Introduction to Agentic Frameworks 10 minutes
Practice Quiz: Understand AI System Design Patterns10 minutes

2 app itemsTotal 75 minutes

Lab: Implement Workflow Patterns with LangGraph45 minutes
Lab: Build LangGraph Design Patterns: Orchestration & Evaluation30 minutes

2 pluginsTotal 7 minutes

Reading: Helpful Tips for Course Completion5 minutes
Cheat Sheet: Agentic Frameworks and Design Patterns for Effective AI Systems2 minutes

This module introduces you to CrewAI and its core components, including agents, tasks, and crews. Through instructional videos and hands-on labs, you’ll learn to structure a CrewAI application, generate structured outputs, and extend capabilities with custom tools. You’ll gain practical experience by incrementally building CrewAI workflows and combining key features in an applied lab.

What's included

3 videos1 reading4 assignments4 app items2 plugins

3 videosTotal 26 minutes

Design AI Agent Workflows with CrewAI 9 minutes
CrewAI with Structured Outputs, YAML, and CrewBase Classes9 minutes
Extending CrewAI with Custom Functions 7 minutes

1 readingTotal 1 minute

Summary and Highlights 1 minute

4 assignmentsTotal 48 minutes

Graded Quiz: CrewAI Fundamentals and Advanced Applications 30 minutes
Practice Quiz: Introduction to CrewAI 6 minutes
Practice Quiz: Structured Outputs in CrewAI6 minutes
Practice Quiz: Functions and CrewAI6 minutes

4 app itemsTotal 180 minutes

Lab: CrewAI 101 : Building Multi-Agent AI Systems45 minutes
Lab: Create a Structured Meal & Grocery Planner with CrewAI45 minutes
Lab: Agents with Tools vs. Tasks with Tools in CrewAI30 minutes
Lab: Building your own AI Nutrition Coach using a Multi-Agent System and Multimodal AI60 minutes

2 pluginsTotal 21 minutes

Reading: Structured Outputs in CrewAI 6 minutes
Cheat Sheet: CrewAI Fundamentals and Advanced Applications 15 minutes

In this module, you’ll be introduced to two alternative agentic frameworks for building structured multi-agent AI applications: IBM’s BeeAI and AG2 (AutoGen). Through guided videos and hands-on labs, you’ll explore BeeAI’s architecture for creating agents and workflows, integrating tools, and managing memory. You’ll also examine AG2’s core components and learn how to configure multi-agent conversations using different patterns. By the end of the module, you will be able to implement basic agents using BeeAI and design structured, multi-agent conversations with AG2 for use cases like healthcare chatbots.

What's included

2 videos2 readings2 app items1 plugin

2 videosTotal 16 minutes

Introduction to AG2 (AutoGen) and its Key Elements9 minutes
Extending AG2 with Tools and Structured Outputs6 minutes

2 readingsTotal 2 minutes

Congratulations and Next Steps1 minute
Team and Acknowledgments1 minute

2 app itemsTotal 75 minutes

Lab: AG2 101 (AutoGen): Complete Tutorial45 minutes
Lab: Build Multi-Agent Chatbot with AG2 (AutoGen) for Healthcare30 minutes

1 pluginTotal 10 minutes

Reading: Agent Orchestration and Design Patterns in AG210 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Faranak Heidari

IBM

3 Courses3,121 learners

Offered by

IBM

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Frequently asked questions

By gaining hands-on experience with agentic design patterns and multi-agent frameworks like CrewAI, LangGraph, AG2, and BeeAI, you’ll be well-equipped for roles similar to 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.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

What you'll learn

Skills you'll gain

Details to know

See how employees at top companies are mastering in-demand skills

Build your Software Development expertise

There are 3 modules in this course

Agentic Frameworks and LangGraph Design Patterns for Effective AI Systems

What's included

3 videosTotal 19 minutes

1 readingTotal 4 minutes

3 assignmentsTotal 50 minutes

2 app itemsTotal 75 minutes

2 pluginsTotal 7 minutes

CrewAI Fundamentals and Advanced Applications

What's included

3 videosTotal 26 minutes

1 readingTotal 1 minute

4 assignmentsTotal 48 minutes

4 app itemsTotal 180 minutes

2 pluginsTotal 21 minutes

Alternative Agentic Frameworks: BeeAI and AG2 (AutoGen)

What's included

2 videosTotal 16 minutes

2 readingsTotal 2 minutes

2 app itemsTotal 75 minutes

1 pluginTotal 10 minutes

Earn a career certificate

Instructors

Offered by

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

More questions

Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

What you'll learn

Skills you'll gain

Details to know

See how employees at top companies are mastering in-demand skills

Build your Software Development expertise

There are 3 modules in this course

Agentic Frameworks and LangGraph Design Patterns for Effective AI Systems

What's included

CrewAI Fundamentals and Advanced Applications

What's included

Alternative Agentic Frameworks: BeeAI and AG2 (AutoGen)

What's included

Earn a career certificate

Instructors

Offered by

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What career opportunities can this course open up for me?

Do I need a background in machine learning to take this course?

How does this course differ from traditional software development training?

More questions