I’ve been aware of multi-agent frameworks for while but nothing really clicked for me until I went to IBM TechxChange Community Day in Orlando. I had sort of hit a wall in terms of figuring out how best to go about building my own agentic systems with applicaitons that were at that point mostly just doing basic prompt engineering dropped into local web apps. At that con I was introduced to BeeAI, Melea, and whispers (haha) about CrewAI. This course was really great input on how to better think through building some of the applications and solutions I was working on espcially, I think, for the use of small resource light models.
| Course | Design, Develop, and Deploy Multi-Agent Systems with CrewAI |
| Provider | DeepLearning.AI |
| Course Link | https://learn.deeplearning.ai/courses/design-develop-and-deploy-multi-agent-systems-with-crewai/ |
| Duration | ~6 Hours |
| Difficulty | Beginner |
| Cost | Paid (subscription) |
| Certificate | Yes |
| Rating | 9/10 |
| Best for | AI Engineers building multi-agent systems |
| Not for | Complete AI beginners or no-code users |
| Prerequisites | Python, basic LLM concepts, Jupyter notebook comfort |
This was a pretty cool hands-on course on moving from single LLM usage to multi-agent systems using CrewAI for orchestration. It covers the basics of multi-agent systems, how to set up CrewAI, and walks through building a few example applications. The course is well-structured with a mix of video lectures, readings, and practical coding exercises in Jupyter notebooks.
