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

[BaDshaH]

Published 9/2024
Created by Mohsen Hassan,Ilyass Tabiai, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 45 Lectures ( 8h 42m ) | Size: 8.52 GB

AutoGen, ChatGPT API, Streamlit, Google Cloud, everything to build and deploy AI Agents based apps (locally or at scale)

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.

Who this course is for:
Everyone ready to learn about this brand new way of using LLM Agents

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