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AI, Machine Learning & Data ScienceUdemy2025-1 Edition100% Free Video Course

AI Agents: Building Teams of LLM Agents that Work For You

AI Agents: Building Teams of LLM Agents that Work For You, 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.

18 Video Lessons
23.2 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
AI Agents: Building Teams of LLM Agents that Work For You
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Course Features:
23.2 hours on-demand video
18 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Master practical concepts and hands-on skills in AI, Machine Learning & Data Science
Complete 18 video lectures with real-world examples and workflows
Build confidence with step-by-step instructions from industry experts
Access downloadable course resources and exercise files

Course Curriculum18 Lectures

4 sections • 23.2 hours total length

Prefer offline learning? Download all 18 video lectures and project files for free.
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Requirements

  • Basic Programming Knowledge (we explain all code provided step by step)
  • No prior knowledge required, everything is shown step by step.

Description

AI Agents: Building Teams of LLM Agents that Work For You, 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.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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