What you'll learn:
- Build teams of AI Agents that can achieve complex tasks
- Build LLM Agents based Apps
- Use ChatGPT's API
- Use AutoGen to enable AI Agents to communicate with one another
- Build a front-end to communicate with your team of AI Agents (optional)
- Run a AI Agent App at scale using Google Cloud (optional)
- Set up a payment system to charge users to use your AI Agents based App (optional)
In this course you'll learn about this new way of using LLMAgents: deploying multiple agents to work together as teams to accomplish more complex tasks for you!
Everything is taught step by step and the course is fully practical with multiple examples and one complete AIAgents-based App that we build together.
One of the things we use to accomplish this is ChatGPT's API so we can use ChatGPT through Python.
We also use AutoGen to enable our Agents to work together and communicate with one another (to accomplish tasks with no human intervention).
We also provide a few optional sections. One of these sections teaches to have a front-end, using Streamlit, to more easily interact with your AIAgents.
Another optional section is for those who want to run AIAgents at scale!Here we show you how to deploy your LLMAgents on Google Cloud, so anyone can use your product.
Lastly, one more optional section is available showing how to set up a payment system/subscription model using Stripe for those who want to monetize their AIAgents-based App!
Everything is explained simply and in a step-by-step approach. All code shown in the course is also provided.
Please not that the OpenAIAPI is not free, you will need to fund your OpenAIdeveloper account with about $5-10 to follow through with the class and build your own app. We clearly show and explain how to do this and minimize your OpenAI costs during this class.
