Head Instructor
My name is Dev!
I'm passionate about simplifying complex concepts, and my goal is to change the way you think about ML.
Over 10,000 Students Have Enjoyed GPT Learning Hub's Free Resources:
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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.
Tim Y
Thank you for creating the practice questions! I think you're the only person who has created ML practice questions like these.
I've had the privilege to work with educators like NeetCode and to have
3Blue1Brown endorse our free programming problems.
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The Exact Study Plan I Wish I Had
When I was first getting started with Machine Learning, I wasted months trying to figure out the best way to learn. Here are some of the problems I faced:
01
What papers should I read?
Everyone recommended that I read papers, but I had no idea which ones to read.
02
How do I understand and dissect a paper?
Even once I compiled a list of papers to read, I found them confusing and difficult to understand. Plus, I had no idea how to implement them and code up the main concepts.
03
How do I optimize my resume?
After I managed to read and implement my first paper, I had no idea how to present this project on my resume and land more interviews.
Beginner's Blueprint For AI/ML
The Exact Blueprint I Would Follow In 2024
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.
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Blueprint Bonuses
On top of the written guides, I've curated six special bonuses that come with the Beginner's Blueprint at no extra charge.
01
Top 50 AI/ML Papers [Full List]
There's hundreds of thousands of ML papers on the web. Save yourself the time of finding the must-read papers with this list.
02
Technical Breakdowns [Video Lectures]
I've created video lectures explaining the main points of 15 crucial papers on the list. Save yourself the time of reading the paper with a walkthrough of the critical concepts.
03
Resume Revamp [1 On 1 Call With Dev]
As an undergrad & master's student, I interviewed for internships (and received offers) at many big tech companies.
I don't have a secret formula to land every interview, but I do know how to write a resume and optimize your chances.
04
Generative LLMs [10 Hour Course]
This course takes you from no ML experience to implementing Attention Is All You Need and training your own mini LLM.
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It's helped over 10,000 students understand how LLMs work.
05
Fine Tuning LLMs [2 Hour Course]
This course covers how to fine tune open source models like Llama and GPT 2 (without an expensive GPU).
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Hiring managers have confirmed that a fine tuning project makes a portfolio stand out.
06
Applications of Transformers [2 Hour Course]
This course covers how to implement (from scratch) a multimodal model that generates captions for images.
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Be prepared to dive deep into PyTorch and Transformers.
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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.​
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.​
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."