So what a trip it has been. It has been a pleasure to have you all the way to disperse. You learned a lot about multi AI agent systems. By now, you are able to put these agent systems together yourself. So let's look at what are the next steps? Where do you go from here? What else can you learn? What are good resources out there? So let's get into it. All right. So you came this far. You'll learn a lot about multiple agent systems. You will learn about how to use them together. And we use create an entire course to build all these examples. So by now, you might be wondering, how doI do more? Where do I go from here? Well, let me show you a few resources that you can tap into. So, you can actually go at crewAI.com to learn more about crewAI. And you're going to find a bunch of interesting resources in here, A few ones that people would really like is the documentation, and you can do that by clicking on this link over here. And that will take you to the crewAI docs, where you can get very specific around the core concepts, the specific attributes, and even have access to some how-to guides. But you can go beyond that. You can also chat with our docs. If you click in here, you're going to get access to a custom GPT called crewAI Assistant that will help you to put your crews together. This assistant knows everything there is to know about crewAI, so you can ask about the agents, the tasks, the processes, and even ask it to write some of the code for you. So this is going to be a great resource for you to iterate on it faster. And just make sure that you can build their crews super fast. Alright, and that, in case you're wondering about how you can use crewAI in a production setting, Don't be afraid to check crewAI+. It's our enterprise solution for companies that are trying to deploy the systems in a production setting. Right now we are working with early beta customers, so we are kind of like hand-picking who we want to work with. But hey, we are very eager to hear all the use-cases. So if you believe you have a great use-case and you would like to deploy that in a production setting, click on Apply Now and reach out to us and we're going to be eager to onboard you into our platform. In our platform, I'm going to show you some of the things that you're going to get access to. So if you get access to crewAI+, you're going to be able to transform your crews into APIs in a matter of minutes without having to change anything in your code. So you're going to be able to push it to GitHub, select your repository add any environment variables that you want, like specific models that you are using or your Serp API key, whatever it might be. And after that, you're going to get an API that you can now use. This API, it's going to be hosted in a private VPC. It's going to use SSL. It's going to have auto-scaling. Everything that makes it ready for production use-case. And this is just the tip of the iceberg. You can kind of see here in the other menus, all the other features that you can get access through in crewAI+. So if you believe that you're ready to bring your crews into production and deploy them at a larger scale, this is a great place to go. If you're looking for other resources where you can learn more about crew AI, I would definitely recommend you check YouTube. We have a huge community that have been putting out a lot of videos on crewAI. So you're going to find crewAI videos for days where you can learn about specific use-cases. You can learn about how to build more complex settings, how to integrate it with grok, mixtral, and many other use-cases. So don't be afraid of really going in there, searching YouTube and learning more about how to build crewAI in production. It's definitely a great resource if you're trying to learn more. Another thing is, if you are wondering about a lot of those concepts that we discussed on agents role playing and communicating and collaborating, there's a bunch of papers out there that highlights the benefits of doing that versus regular prompting, engineering or all the other techniques. One paper that I recommend is the paper behind chatdev You can definitely dig into that and see how agents that are able to talk to themselves, are able to tackle way more complex problems in a way better manner. So I would definitely recommend this paper in case you want to dig into that a little bit. Don't be afraid to join our Discord community as well. On our website you're going to find a link right in the top called Join Our Discord. By clicking on that, you're going to access thousands of people that are talking about crewAI and how to build with them. So among everything that I just showed you, you should be good to go and start your really putting your skills to the tasks and build multiple agent systems for production today. Another great resource is the actual framework. You can go into GitHub and see all the code that powers crewAI. So feel free to go in there. Check the issues, the pull requests and contribute if you feel like it. There's so many good resources in here, and so many people that are eager to help you. So make sure to check out the code, and If you find a bug, please let us know and feel free to contribute to it. Thank you so much!
Multi AI Agent Systems with crewAI
- Introduction
- Overview
- AI Agents
- Create agents to research and write an article (code)
- Key elements of AI agents
- Multi agent customer support automation (code)
- Mental framework for agent creation
- Key elements of agent tools
- Tools for a customer outreach campaign (code)
- Recap of tools
- Key elements of well defined tasks
- Automate event planning (code)
- Recap on tasks
- Multi agent collaboration
- Mutli agent collaboration for financial analysis (code)
- Build a crew to trailor job applications (code)
- Next steps with AI agent systems
- Conclusion
- How to get your completion badge