Multi Agent AI Systems with crewAI (Open Source)

This course offers a comprehensive exploration of AI Agents, starting with an understanding of what they are and how they differ from Large Language Models (LLMs). Participants will dive into the essential building blocks and key elements required to construct AI Agents, followed by an introduction to the mental frameworks used in agent creation. The course includes hands-on projects, such as drafting a research article using a MultiAgent System and generating customer service responses, both aimed at providing practical experience and workflow insights. Finally, participants will be introduced to crewAI, where they will explore advanced applications and next steps in the development and deployment of AI Agents.

1. What are AI Agents – How are they different from LLMs
   ~ Overview of AI Agents and their distinct features compared to Large Language Models (LLMs).
2. AI Agents Building Blocks and Key Elements
   ~ Key components and foundational elements essential for constructing AI Agents using crewAI Framework
3. Mental Framework for Agent Creation
   ~ Strategies and Mindset for designing and developing AI Agents.
4. Sample Project – Write Research Article with MultiAgent System and understanding the workflow
   ~ Hands-on project focusing on drafting a research article using a MultiAgent System, emphasizing workflow comprehension.
5. Sample Project – Generating Customer Service Response to Customer Query and understanding the workflow
   ~ Practical project aimed at creating automated customer service responses, with insights into the associated workflow.
6. Next Steps with AI Agents – Explore crewAI
   ~ Introduction to advanced AI Agent applications through the crewAI platform, outlining the next steps for deeper exploration.