Andrew Ng and Joe Mora introduce a new course on building multi-agent AI systems with crewAI. You'll learn to design specialized LLM agents that collaborate and delegate tasks for workflows like research, document analysis, and product simulation.
I'm excited to introduce multi AI Agent systems with crewai, built in partnership with CREWAI and taught by Joe Mora, who's founder and CEO of crewai. I've really enjoyed playing with crewai, which is a very easy, approachable way to build multiple large language model based agents that can interact with each other, delegate tasks each other and collectively accomplish complex and productive workflows. CREWAI is being used by many developers to to build little AI research teams to do online research and write reports or read enterprise documents and provide analyses. And there are also a lot of exciting and creative use cases like simulating product managers and users to get feedback on a product or monitoring sensors in the manufacturing plant to flag when something deserves further investigation. With multi agent collaboration, each agent plays a specialized role and executes specific tasks and they can share and request information from each other with defined roles. This helps you to take a complex task and break it down into more manageable, narrower tasks for individual LLM based agents to do. I'm thrilled to introduce the instructor Joe, who has started CREWAI when he needed a tool to build better agents to help him write LinkedIn posts. And Joe has a lot of experience designing workflows for collections of agents to execute.
Thank you so much Andrew. I'm super excited about this and there's so much potential for multi agent systems out there. I'm blown away by some of the use cases I'm seeing on how companies are already deploying these multi agent systems in production. AI agents will be a big part on how business will be built and will evolve in the next decade and I want to make sure that we empower engineers to learn more on how to build these new AI systems for the future. So in this course you will learn all about multia agent systems. We will go over the major components together and dive into each one, including tools, memory guardrails, Agentic Corporation, and honestly so much more.
One thing that surprised me as I've been using CREWAI is not just how productive it can be, but also how fun it is to quickly create a few agents and then work together. I think you find it really fun as well to create your own agents, delegate work to them and then see these agents that you just created with just a few lines of code, run around and collaborate and get things done.
I really hope you enjoy the course and I see you in there.
