Build AI Agents and Multi-Agent Systems with CrewAI

Build AI Agents and Multi-Agent Systems with CrewAI

Lead the GenAI revolution with CrewAI as you build and manage AI agents with intricate workflows, integrate LLMs, and future-proof your skills in multi-agent systems.

Intermediate

13 Lessons

2h 15min

Certificate of Completion

Lead the GenAI revolution with CrewAI as you build and manage AI agents with intricate workflows, integrate LLMs, and future-proof your skills in multi-agent systems.

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 answer the question, “What are AI agents?” and explore how AI agents work. You’ll gain hands-on experience using CrewAI tools to build your first multi-agent system step by step. You’ll learn how to build AI agents capable of handling intricate workflows and discover how to integrate powerful tools and large language models (LLMs) seamlessly. Then, you’ll learn to orchestrate multi-agent systems, focusing on efficien...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

The ability to incorporate human input into agentic workflows to enhance performance and adaptability

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

An understanding of testing strategies and monitoring techniques to ensure your AI agents operate optimally

What You'll Learn

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

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Course Content

1.

Introduction to the Course

Get familiar with AI agents, their architecture, roles, and practical applications.
2.

Introduction to Agents

Look at how AI agents revolutionize autonomy, problem-solving, and multi-agent coordination.
3.

Building and Orchestrating Multi-Agent Systems

Examine the orchestration of multi-agent systems, integrating AI tools, human inputs, and advanced functionalities.
4.

Conclusion

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

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

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

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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