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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!

3 complete study guides to master the ML fundamentals.

Get The First-Principles Framework

No fluff - Just simple explanations, code snippets, and easy-to-understand examples

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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.​
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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.​
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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.

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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.

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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.

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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.

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Get The First-Principles Framework

No fluff - Just simple explanations, code snippets, and easy-to-understand examples

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.

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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."

- First Principles Framework -

Master The Fundamentals

Includes Lifetime Money Back Guarantee

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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.
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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.
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Tim Y

Thank you for creating the practice questions! I think you're the only person who has created ML practice questions like these.
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