Welcome to GPT Learning Hub!
To help you get started ASAP, I've put together a concise guide that I call the First-Principles Framework.
Please watch the video below for more information!
_edited.jpg)
Amit R
IIT Madras 2025
I love the attention to detail that Dev provides, with minimal theory to get started with implementation. This is exactly how I wanted to learn.​
_edited_edited_edited_edited_edited.png)
Shekhar C
NYU 2024
The courses have been a LIFESAVER for me. They're comprehensive and easy to understand, almost like having a personal expert by your side.​
Chang L
Ex-Yahoo AI/ML Engineer
The structure has significantly boosted my confidence in AI/ML. Highly recommend for anyone serious about advancing in this field.​
The First Principles Framework:
01
4 Must Know ML Concepts [Written Guide]
I've poured my heart and soul into this guide, iterating countless times to ensure that it's easy-to-read, clear, & concise.
02
PyTorch Deep Dive [Written Guide]
PyTorch is the #1 framework for implementing Machine Learning concepts. This 35-page guide is a cheat code to Neural Networks, PyTorch fundamentals, and implementing training loops.
03
Five Day ML Challenge [Written Guide]
This is the final written guide. Once you've mastered the fundamentals, challenge yourself to learn one additional concept a day, for five straight days.
.png)
Framework Bonuses
When you secure the Framework today, you also get access to
three more bonuses at no extra charge.
01
RAG [Lecture + Coding Walkthrough]
RAG (Retrieval Augmented Generation) is a must-know
topic for aspiring Machine Learning Engineers.
​
I've created a 30-minute explanation of RAG that also includes a line-by-line coding walkthrough.
02
Vision Transformer [Paper Breakdown]
In 2021, Google released the Vision Transformer, transforming Computer Vision forever.
​
I've created a video lecture breaking down this crucial paper, which will save you valuable time.
03
Intro to Reinforcement Learning [Video Lecture]
Reinforcement Learning (RL) is a rapidly growing and exciting field of Machine Learning.
​
I've created a 25-minute intro to RL covering the must-know fundamentals.​ Secure it and kickstart your RL journey today.
%20(7).png)
Head Instructor Dev here.
If you haven't already watched the video I made for you above, please do so now!
After helping thousands of students master ML fundamentals...
I've summarized the must-know concepts into 3 concise study guides.
I want to share these guides with you through the First-Principles Framework.
There's just one catch.
This is a limited time offer, and I can't guarantee it'll be available at this price forever.
Trusted By Students Around The World
Simon Wang, Singapore
"Dev has a knack for simplifying complex concepts."
Jane Grant, New York
"This course contains a wealth of detailed concepts that you won't find collected together anywhere else.
Highly recommend."
Rafael Ruiz, Spain
"I love how all the concepts are tied together from module to module."
_edited.jpg)
Stefan E
I followed the free course recently and it was amazing. I had some exposure to ML, but the GPTs section vastly improved my understanding.
_edited.jpg)
F. D. K.
Oh my your videos are so good. Please keep making more. I've been trying to get into ML, but found it difficult until I found your videos.
Tim Y
Thank you for creating the practice questions! I think you're the only person who has created ML practice questions like these.