This repository contains examples and experiments based on the "Multi AI Agent Systems with crewAI" course offered by DeepLearning.AI in collaboration with crewAI.
The Multi AI Agent Systems with crewAI course teaches how to design and implement multi-agent AI systems using the crewAI open-source library. Key topics covered include:
- Designing effective AI agents with specialized roles
- Implementing memory systems for agents
- Assigning tools to agents for enhanced capabilities
- Breaking down complex tasks for multiple AI agents
- Implementing error handling and cooperation strategies
This repository includes code examples and experiments that demonstrate the concepts learned in the course, such as:
- Tailoring resumes and interview preparation
- Researching and writing technical articles
- Automating customer support inquiries
- Conducting customer outreach campaigns
- Planning and executing events
- Performing financial analysis