TAVILY_API_KEY

OPENAI_API_KEY

LANGCHAIN_API_KEY

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.

Mastering AI Agents and Multi-Agent Systems with CrewAI.png

753.tar.gz

Basic

Notebook for Events Agent

Notebook for Groq Heirarchy

Notebook for Exception

Notebook for Different LLMs

Notebook for ReAct

YouTube

Generating Code

Debugging Code

ListInput

Async

CondTask

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.

Build AI Agents and Multi-Agent Systems with CrewAI

Recap what you’ve learned in this course. 

Wrap Up

Recap what you’ve learned in this course.

Introduction to the Course

Introduction to Agents

Building and Orchestrating Multi-Agent Systems

Conclusion

Build an LLM-powered Chatbot with RAG using LlamaIndex

Wrap Up

What have we learned?