CrewAI is used to design and manage autonomous AI agents that handle real-world tasks, enabling AI automation through agentic workflows and scalable multi-agent systems.
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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.
4.7
13 Lessons
2h 15min
Updated 1 week ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Learning Roadmap
2.
Introduction to Agents
Introduction to Agents
Dive into CrewAI’s agent frameworks and their role in problem-solving with agents for scalable, modular systems.
3.
Building and Orchestrating Multi-Agent Systems
Building and Orchestrating Multi-Agent Systems
7 Lessons
7 Lessons
Learn to integrate LLMs, human inputs, and advanced functionalities into multi-agent automation.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
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 large language models (LLMs) to elevate problem-solving capabilities with agents.
Then, you’ll master orchestrating multi-agent systems, focusing on efficient management and hierarchical structures while incorporating human input. These skills will enable your AI agents to perform more accurately and adaptively.
After completing this CrewAI course, you’ll be equipped to manage agent crews with advanced functionalities such as conditional tasks, robust monitoring systems, and scalable operations.
Trusted by 2.9 million developers working at companies
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Pawas Gupta
AI/ML Tech Lead @ UpChange
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Anthony Walker
@_webarchitect_
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Evan Dunbar
ML Engineer
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