Build AI Agents and Multi-Agent Systems with CrewAI

Lead the GenAI revolution with this CrewAI course. Build and manage AI agents capable of intricate workflows, leverage agentic workflows, integrate LLMs, and future-proof your skills in AI automation.

Intermediate

13 Lessons

2h 15min

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

11 Playgrounds

This course includes

11 Playgrounds

Course Overview

This course will explore AI agents and teach you how to create multi-agent systems. You’ll explore “What are AI agents?” and examine how they work. You’ll gain hands-on experience using CrewAI tools to build your first multi-agent system step by step, learning to manage agentic workflows for automation. Throughout the course, you’ll delve into AI automation strategies and learn to build agents capable of handling complex workflows. You’ll uncover the CrewAI advantages of integrating powerful tools and larg...Show More

TAKEAWAY SKILLS

Artificial Intelligence

Generative Ai

Ai Frameworks

What You'll Learn

The ability to create AI agents capable of handling complex tasks using CrewAI

Hands-on experience managing and orchestrating multi-agent systems for efficient workflows and agentic workflows

The ability to incorporate human input to enhance performance and adaptability

Familiarity with utilizing CrewAI tools and integrating large language models for advanced functionalities

An understanding of testing strategies, monitoring techniques, and the CrewAI advantages to ensure your AI agents operate optimally

What You'll Learn

The ability to create AI agents capable of handling complex tasks using CrewAI

Course Content

Introduction to the Course

Explore the potential of AI agents and their agentic workflows. Learn how they integrate seamlessly into multi-agent automation to solve real-world tasks.

Why Choose AI Agents and This Course?

Introduction to Agents

Dive into CrewAI’s agent frameworks and their role in problem-solving with agents for scalable, modular systems.

Getting Started with AI Agents

What Is ReAct?—A Guide to Decision-Making in AI Agents What Is CrewAI?Building Our First Multi-Agent System with CrewAI

Building and Orchestrating Multi-Agent Systems

Learn to integrate LLMs, human inputs, and advanced functionalities into multi-agent automation.

Efficient Usage of Different LLMs and Tools in CrewAI Building Hierarchical Agent Structures for Scalability Balancing AI Autonomy and Human Collaboration Coding Agents Kicking Off Crews with Advanced Functionalities Implementing Conditional Tasks for Smarter Multi-Agent Systems Ensuring Agent Simplicity and Robustness

Conclusion

Find out about your achievements and the next steps in AI agents.

Wrap Up

Build a Multi-Agent Job Search System with CrewAI and Python

Project

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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