@noonetalkseither4315

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

@marlonlima6072

Just finish the whole course, took me 3 weeks. I'm a complete new beginner, literally didn't no nothing about AI, most things were "chinese" to me but it's all a process, I learnt so much and Andrew thank you for sharing so much, I really appreciate it.

@derHowitzer

This man is a different kind of legend. His shortest course on this channel is of 22 hours 🙏🏻🙏🏻.

@zayndejohn2432

The repetitiveness of this course is what makes it so good 
In the first 30 minutes of lectures he actually explains ml over and over again that you understand it foreal not just saying it once and we dont fully grasp it
Great course

@brandonwaggonertech

The tape on the glasses is what makes this a legit nerd course.  Love it!

@drew5834

if I was wealthy, I would make a sizable contribution to you Andrew for all your hard work and dedication to the technology space.

@sonnymckelvey5938

I just started looking at the AI Toolkit for VS Code. I really like that you have access to all of the models listed as well as models pulled from Ollama. All of the different things that going on in GenAI are happening very quickly and it is very difficult to decide on and follow a course of action, especially for someone fairly new to the field. At the moment I have no idea what the future for an 80 year old Python programmer holds, but I do find LLMs rather fascinating especially in RAG environments.

@monas7217

Do I need to have a technical experience before this course?

@miranderkawalala864

Who else is here from a tiktok video?

@buildingtime-tech

I love this tutorial how you focuses on an agnostic approach. I also like how we can see in real time how you learn the tools. So it feels more approachable to me.

@gapedandamazed6988

(personal usage)
4:55:38
5:09:00
6:03:36

@shreyapandey6758

1:18 :59 --> classical ML
1:19 :07 --> Supervised and Unsuperwised Learning

@corybaker13

the audio is constantly glitching when the two of them are talking amongst themselves while they explain the course. Is that happening for anyone else?

@shubh9158

52:28 introduction, for personal use

@primalcookie6036

Another video that gets added to my wishlist

@Yep4115

Thanks for standing and explaining for a full 24 hour day must have been hard

@CitizenSmith

23 Minutes in and Rola's question ref 'probabailty' or 'Thought process' has now been answered by DeepSeek' it's now there for you to see.  I know you said the AI moves quickly - But two weeks... ^^

@skywater9607

I like it how he also puts in the video when something not works as expected

@rohitmalik2822

Can you please break your course into timestamp navigation so that it is easier to go back and forth if needed

@skywater9607

Starts at 54:20