AI Agents: Building Teams of LLM Agents that Work For You
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)
Requirements
- Basic Programming Knowledge (we explain all code provided step by step)
- No prior knowledge required, everything is shown step by step.
Description
In this course you'll learn about this new way of using LLM Agents: 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 AI Agents-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 AI Agents.
Another optional section is for those who want to run AI Agents at scale! Here we show you how to deploy your LLM Agents 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 AI Agents-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 OpenAI API is not free, you will need to fund your OpenAI developer 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.
Who this course is for:
- Everyone ready to learn about this brand new way of using LLM Agents
Instructors
- 4.6 Instructor Rating
- 140,887 Reviews
- 467,355 Students
- 14 Courses
Mohsen has a deep passion for finance and computer science. Having studied and worked in the field, he has developed a deep understanding of the financial industry's many facets: Long-term investing, shorter-term trading, and automation.
Mohsen has started Bloom Trading because of his passion for the financial field and teaching others about the financial markets and programming.
- 4.6 Instructor Rating
- 4,321 Reviews
- 30,138 Students
- 5 Courses
Ilyass has a Master of Science and a PhD in Mechanical Engineering and is a Professor in an engineering oriented faculty in advanced materials by day. Ilyass has been a python developer who especially focuses on the areas of Machine Learning, Natural Language Processing and Deep Learning. He is also the cofounder of a small start-up for which he is the CEO and that explores the usage of decentralized technologies for information markets.
Ilyass is fascinated by the technological revolution that Bitcoin is. To share his knowledge and keep up to date in this field, Ilyass has co-founded and is an active member of "La Bulle Crypto", a podcast in french about cryptocurrencies that was now retired.