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Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

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Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

This course is part of multiple programs.

Instructors: Faranak Heidari

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3 modules

Gain insight into a topic and learn the fundamentals.

4.9

(16 reviews)

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

4.9

(16 reviews)

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design optimized AI systems by selecting and combining appropriate agentic frameworks and architectural patterns
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)

Skills you'll gain

Details to know

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There are 3 modules in this course

Learn to build intelligent, autonomous multi-agent 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鈥檒l explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs. You鈥檒l start with LangGraph, applying key design patterns such as sequential flows, routing, and parallelization to structure agent interactions. From there, you鈥檒l move to CrewAI, where you鈥檒l orchestrate agents, tasks, and tools, generate structured outputs using YAML and Pydantic, and extend capabilities with custom functions. Finally, you鈥檒l explore BeeAI for orchestrating agents and workflows, and AG2 for creating multi-agent conversations and role-based collaboration. Through hands-on 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鈥檒l explore foundational concepts behind agentic frameworks and multi-agent systems, learning their role in AI application design. You鈥檒l 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

6 videos1 reading3 assignments2 app items2 plugins

6 videosTotal 41 minutes

Course Introduction3 minutes
Understanding Agentic AI and Open Source Frameworks8 minutes
Building AI Agents with Open Source Frameworks8 minutes
Essential Design Patterns for AI Systems8 minutes
Orchestrator Design Pattern8 minutes
Evaluator-Optimizer Design Pattern5 minutes

1 readingTotal 4 minutes

Course Overview4 minutes

3 assignmentsTotal 41 minutes

Practice Quiz: Introduction to Agentic Frameworks 10 minutes
Practice Quiz: Understand AI System Design Patterns10 minutes
Graded Quiz: Agentic Frameworks and Design Patterns for Effective AI Systems21 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鈥檒l learn to structure a CrewAI application, generate structured outputs, and extend capabilities with custom tools. You鈥檒l 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 51 minutes

Practice Quiz: Introduction to CrewAI 10 minutes
Practice Quiz: Structured Outputs in CrewAI10 minutes
Practice Quiz: Functions and CrewAI10 minutes
Graded Quiz: CrewAI Fundamentals and Advanced Applications 21 minutes

4 app itemsTotal 180 minutes

Lab: CrewAI 101鈥�: 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鈥檒l be introduced to two alternative agentic frameworks for building structured multi-agent AI applications: IBM鈥檚 BeeAI and AG2 (AutoGen). Through guided videos and hands-on labs, you鈥檒l explore BeeAI鈥檚 architecture for creating agents and workflows, integrating tools, and managing memory. You鈥檒l also examine AG2鈥檚 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

5 videos3 readings3 assignments3 app items2 plugins

5 videosTotal 38 minutes

BeeAI: Introduction and Core Components9 minutes
Building Agents with the BeeAI Framework8 minutes
Introduction to AG2 (AutoGen) and its Key Elements9 minutes
Extending AG2 with Tools and Structured Outputs6 minutes
Course Wrap-Up 4 minutes

3 readingsTotal 4 minutes

Summary and Highlights 2 minutes
Congratulations and Next Steps1 minute
Team and Acknowledgments1 minute

3 assignmentsTotal 41 minutes

BeeAI Core Concepts and Architecture10 minutes
Practice Quiz: AG2 (AutoGen) Core Concepts, Architecture, and Conversation Patterns10 minutes
Graded Quiz: Alternative Agentic Frameworks: BeeAI and AG2 (AutoGen) 21 minutes

3 app itemsTotal 195 minutes

Lab: Building Agentic AI Systems with the BeeAI Framework120 minutes
Lab: AG2 101 (AutoGen): Complete Tutorial45 minutes
Lab: Build Multi-Agent Chatbot with AG2 (AutoGen) for Healthcare30 minutes

2 pluginsTotal 25 minutes

Reading: Agent Orchestration and Design Patterns in AG210 minutes
Cheat Sheet: BeeAI & AG2 (AutoGen) Frameworks for Building Agentic AI Systems15 minutes

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Instructors

Faranak Heidari

IBM

3 Courses7,741 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鈥檒l be well-equipped for roles such as AI Workflow Engineer, Multi-Agent Systems Developer, Automation Architect, Generative AI Engineer, Machine Learning/AI Engineer, Software Developer, Data Scientist, or Data Engineer. These roles involve designing intelligent applications that automate complex workflows, collaborate across agents, and integrate with external systems.

Unlike traditional courses that emphasize linear coding logic, this course introduces you to AI agent orchestration and interaction design. You鈥檒l learn to implement dynamic, goal-driven agents that can interact, make decisions, call tools, and manage tasks autonomously鈥攖ransforming your approach from building static software to creating adaptive, collaborative AI ecosystems. This course provides a full overview of each framework and how they relate to Agentic AI. It covers a general overview of each Agentic framework, their pros and cons, and other relevant aspects.

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.

糖心vlog官网观看

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 subject-matter 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

Explore more from Software Development

Multi AI Agent Systems with crewAI

Building Autonomous AI Agents with LangGraph

AI Agents in LangGraph

AI Agentic Design Patterns with AutoGen

Why people choose 糖心vlog官网观看 for their career

Open new doors with 糖心vlog官网观看 Plus

Advance your career with an online degree

Join over 3,400 global companies that choose 糖心vlog官网观看 for Business

Frequently asked questions

What job roles is this course suitable for?

How does this course differ from traditional software development training?

When will I have access to the lectures and assignments?

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