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GenAI Essentials – Full Course for Beginners



freeCodeCamp.org

Learn the essentials of working with AI in the cloud from @ExamProChannel. This comprehensive course covers the complete generative AI development lifecycle – from fundamental concepts through practical implementation, including prompt engineering, development tools, deployment, optimization, and advanced topics like RAGs and AI agents.

More course info: https://www.exampro.co/exp-genai-001

❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)

⭐️ Contents ⭐️
– 00:00:00 Introduction
– 00:54:16 AI and ML Fundamentals
– 03:02:21 Gen AI Primer
– 03:32:55 Data and ML
– 03:47:56 LLM Basics
– 04:12:22 AI Powered Assistants
– 04:24:42 Env Setup
– 06:12:17 Prompt Engineering
– 07:00:25 WorkBenches and Playgrounds
– 07:44:09 Model as a Service
– 08:36:26 LLM DevTools and Workflow
– 11:52:07 AI Code Assistants
– 14:04:37 App Prototyping
– 17:21:06 Containers
– 18:12:43 Serving
– 18:19:51 AI Delivery Platform
– 19:40:45 GenAI Hardware
– 19:50:21 Framework
– 19:51:49 LLM Customization
– 19:52:35 SFT
– 19:56:25 Size Optimization
– 20:26:04 RAGS
– 22:21:19 Agents

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👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
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👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

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36 thoughts on “GenAI Essentials – Full Course for Beginners
  1. your "mosty" wasn't missing an L. It had an extra Y
    Please even out your volume levels. You voice makes me crank up the volume, but your chapter split music is so loud that it disturbs the dead in the cemetery down the road.

  2. I am facing a proplem in training diffusion model in colab environment on large dataset it gives a session crashed error I don't know how to solve it

  3. 00:00:00 Introduction

    00:54:16 AI and ML Fundamentals

    03:02:21 Gen AI Primer

    03:32:55 Data and ML

    03:47:56 LLM Basics

    04:12:22 AI Powered Assistants

    04:24:42 Env Setup

    06:12:17 Prompt Engineering

    07:00:25 WorkBenches and Playgrounds

    07:44:09 Model as a Service

    08:36:26 LLM DevTools and Workflow

    11:52:07 AI Code Assistants

    14:04:37 App Prototyping

    17:21:06 Containers

    18:12:43 Serving

    18:19:51 AI Delivery Platform

    19:40:45 GenAI Hardware

    19:50:21 Framework

    19:51:49 LLM Customization

    19:52:35 SFT

    19:56:25 Size Optimization

    20:26:04 RAGS

    22:21:19 Agents

  4. Most comments here hasn't completed the video. But this was not really a tutorial, its more like a "Come with me as we figure out this AI stuff together".
    Because alot of times he got stucked, confused with trial & error. And it wasn't beginner friendly.
    I loved the fact he touched alot of things

    Nevertheless I appreciate the hardwork put into this. 👍👍

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