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LLMs from Scratch: Build, Align & Fine-Tune with PyTorch (Udemy.com)

Code Transformers, Attention, Alignment and QLoRA line by line to master modern Generative AI and Large Language Models.

Created by: Javier Ideami

Last updated August 2026

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What you will learn

  • Code and train an LLM from scratch, line by line, understanding every concept in detail
  • Understand and analyze in depth an advanced LLM architecture based on the Llama system
  • Code and train an alignment process from scratch, to align an LLM with a preferred form of interaction
  • Apply QLoRA to efficiently fine-tune and extend open-source LLMs with new capabilities
  • Explore in depth insights about deep learning and neural networks through the use of Origami
  • Visual understanding: Dive deep into the core of an LLM and visually explore how its attention matrices evolve throughout the training process.
  • Understand in great depth key concepts like the Attention Mechanisms, the Cross Entropy Loss, the way neural networks learn and many more
  • In addition to the coding, every section includes in-depth explanations of key concepts related to these architectures and generative AI

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.7 out of 5higher than 85% of them
  • Reviews576#217 of 462 by number of reviews
  • Length18.8 hourslonger than 78% of them
  • Last updatedAugust 2026more recently than 86% of them

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Course Description

Dive into the most exhilarating and hands-on LLM course you'll ever experience! This isn't just learning—it's a journey that will transform you from an AI enthusiast into a creator working at the forefront of technology. AI expert Javier Ideami, the creator of one of the most successful AI related courses on Udemy, brings you a totally unique new experience around LLM technology.

What Makes This Course Unmissable:

  • Code Your Own AI Universe: 80% hands-on coding with Python and Pytorch. Build an LLM from scratch, line by line. Watch AI come alive through your fingertips. And then go beyond and code a compact version of an alignment process, the magic that makes ChatGPT, GPT 4, Claude and Gemini possible.

  • Fine-Tuning LLMs: Apply QLoRA to efficiently fine-tune and extend open source LLMs with new skills and capabilities.

  • Origami Meets AI: Be part of a world-first! Unravel deep learning mysteries through the art of paper folding.

  • Visual understanding: Combine the coding with visual exploration by going deep into the core of an LLM, seeing how its attention matrices evolve throughout training.

  • Deep Dive, Gradual Learning Curve: Only basic Python needed. We'll guide you through all the complex concepts around LLMs, from attention mechanisms to cross-entropy and beyond. By the end of the course, you will have gained advanced skills and knowledge about generative AI and LLMs.

  • Mind-Bending Finale: Cap it off with an optional guided meditation using the "generative AI" in your own brain. Mind = Blown!

  • Flexible requirements: Run everything on a humble 4GB GPU or anything more powerful. From Google Colab to your trusty laptop, flexibility is the mantra. On the cloud or local (Windows / Linux / Mac). All platforms and devices will work (with a minimum of 4GB of GPU memory)

Course Highlights:

  • Intro to Generative AI: Dive into the mesmerizing world of Generative AI, where machines create and innovate beyond imagination.

  • Code an LLM from Scratch: Code and nurture your very own LLM from scratch.

  • Unlocking an LLM Titan: Dissect an advanced LLM architecture. Peek behind the curtain of the most powerful AI systems on the planet.

  • Alignment. Code the Secret Sauce of the top LLMs: Code a cutting edge LLM alignment process. This is the crucial stage that makes ChatGPT, GPT 4, Claude and Gemini possible and we code together a cutting edge variation of it.

  • Origami AI: Fold your way to neural network nirvana. Experience a world-first fusion of ancient art and cutting-edge science to grasp deep learning like never before.

  • Advanced Visualizations of the Attention Mechanisms of LLMs: Understand visually how the core of an LLM, its attention matrices, evolves throughout the training process.

  • AI Meets Zen: Cap your journey with an optional mind-bending guided meditation. Explore the ultimate generative AI - the one in your own brain - in a profound finale that bridges technology and spirituality.

All in One / Why You Can't Miss This:

  • The full package: You code both a small LLM as well as a cutting edge alignment technique. You also go deep into the understanding of a complex LLM architecture. On top of that, you fine tune an open source LLM with the QLoRA technique in order to add new skills to it. In parallel you dive very deeply into all sorts of complex concepts around LLMs and deep learning, both during the coding and also during the unique Origami experience as well as the initial intro to Generative AI.

  • Uniqueness: Origami + AI = A learning experience you won't find anywhere else. Understand key insights about Deep Learning and Neural Networks through the magic of paper folding.

  • Practical Hands-on Mastery: 80% Practical. Learn and Build, Train and Align.

  • Future-Proof Skills: Position yourself at the forefront of the AI revolution.

  • And there's more: Added to all of that, the course connects you with free tools, articles and infographics produced by Ideami that enrich and accelerate your learning even more. Some of then, like the Loss Landscape explorer app, are unique tools in the world, created by Ideami for you.

  • Accessibility: Complex concepts explained so clearly, you'll feel like an AI whisperer.

In summary

This isn't just a course—it's a ticket to the AI creator's club. By the end, you'll have coded an LLM, understood its deepest secrets, coded an alignment technique, dived deep into profound insights about deep learning and gained practical skills that will make you the AI guru in any room.

Ready to code the future, fold profound insights through origami and blow your own mind? Join us on this unparalleled journey to the heart of LLM technology. Enroll now and prepare for the most fun, deep, and transformative tech adventure of your life!

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Instructor Details

Javier Ideami

Javier Ideami is an expert in A.I and deep learning, specialized in advanced visualization, computer vision and generative architectures. He is a multidisciplinary engineer, researcher, creative director, artist and entrepreneur. Javier Ideami’s projects and talks have taken him from Silicon Valley to the jungles of Bali, including Stanford University and UC Berkeley, the United Nations FAO HQ, the financial center of London, the International Cultural Diplomacy Conference in Berlin and many others.

Ideami represents a unique fusion of technical mastery, creativity and entrepreneurial spirit. As an award-winning multidisciplinary engineer and creative, and a pioneering figure in multiple areas, from AI to AR, particle art and beyond, he merges technology and media to push boundaries and create unforgettable experiences. His unique multidisciplinary approach to problem-solving, coupled with his unquenchable thirst for innovation is a reminder of the transformative power of creativity

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Reviews

4.7

576 ratings on Udemy

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By samatha mak on 7/21/2026

The best teacher of all the courses Ive taken. He understands the most of all the courses I've taken the perspective of a person who doesn't know much about the information he's teaching. He uses animation in some lessons which is always a plus! Very in Dept I really felt like got way more value than I expected. You still have to use google search ai and YouTube to fill in whatever you don't understand. EVERYONE interested in learning coding alms from scratch should take this course. Only bad thing is I can't download the videos like I can other courses.

By Jyoti Sachin Kulkarni on 4/19/2026

This course completely exceeded my expectations. I genuinely loved everything about it: the energy, enthusiasm, and positivity of the instructor made learning feel exciting rather than overwhelming. The way complex concepts around LLMs were explained was incredibly clear and engaging. It honestly felt like more than just a technical course—it was like a journey that kept me curious and motivated throughout. The instructor’s passion really shows, and it made a huge difference in how deeply I connected with the material. I’ve come out of this course with a much stronger interest in LLMs and a real drive to keep learning more. It sparked something in me. Also, this course is massively undervalued. The amount of knowledge and clarity it provides is easily worth far more—honestly, it could be priced much higher and still be worth it. Huge thanks for creating such an amazing learning experience. Truly inspiring!

By Jeffrey Lebowski on 9/15/2025

Metto 2 stelle e mezzo solo perché c'è sicuramente del grande impegno nel presentare il corso in un modo avvincente e stimolante, con un linguaggio vivace e dinamico (anche se un po' troppo forzatamente teatrale). Tuttavia quando inizia la parte tecnica, il docente si lancia nella realizzazione di una architettura LLM, per intero, senza andare per gradi, come copiando un grosso file già pronto e tentando di spiagarne ogni riga di codice (cosa molto difficile con un approccio del genere). Ad esempio, concetti importanti come il dropout vengono spiegati al volo non appena raggiunta la relativa riga di codice. Riesco a seguire il corso (con fatica) solo perché ho seguito altri corsi su Pytorch (nettamente migliori) in passato.

By Vadhna Samedy Hun on 6/15/2025

So engaging and clear. I had finished the 'Build a LLM from Scratch' book before starting the course and this course really helped me to put everything together coherently! For those who struggle to understand the course, I would recommend that you couple the course with the mentioned book to maximize benefit you get from this course!

By Everett Aknowledge on 3/2/2025

Since the introduction of GPTs, I have been fascinated by AI and its ability to interact with people intelligently and coherently. Taking the "LLM Mastery: Hands-on Code, Align and Master LLMs" course has expanded my exposure beyond GPTs, allowing me to realize the universal potential of AI. I believe this potential will eventually reach self-realization, and I'm excited to play even a small part in its cultivation. The spark of magic lies in the math and probabilities used to create this intelligence, where outcomes can be somewhat managed but still remain unpredictable.

By Alfredo Surroca on 1/25/2025

A very practical course to understand how an LLM works. To get the most out of it, you need prior knowledge of neural networks. The last two chapters would have been more interesting if they were accompanied by drawings and diagrams. Overall, I really liked it.

By Art Nusa on 1/4/2025

I want to take a moment to sincerely thank you, Javier, for being such an amazing instructor. Your deep knowledge of the subject shines through in every session, and it's truly inspiring. What sets you apart is your sincerity and dedication to teaching. You leave no stone unturned in making sure every concept is clear and best understood by all. Your thorough explanations and commitment to your students’ learning are truly commendable. Your thoughtfulness to structure and sequence the explanation such that the materials are best explained and understood (i.e. top bottom approach) is greatly appreciated and this is an example your sincerity by putting yourself in the shoes of the students. Thank you for going above and beyond to make the learning experience so enriching and impactful!

By Jorn Sibbern Askaa on 11/16/2024

I love the energy, and the massive volume of information delivered! provides the proces for training an llm and tune it. And after this... im going to cherrypick my own dataset to deliver the knowledge I want my own ai to respond from :) exciting!

By Varaha Surya Prakash Dakarapu on 11/12/2024

As a complete beginner to AI and ML, I was amazed by Javier's ability to teach complex LLM concepts in an accessible way. He has a remarkable talent for breaking down difficult topics into easy-to-understand explanations, even for those with no prior domain knowledge. Through step-by-step instructions and visual representations, Javier provided a comprehensive overview of LLM architecture, training, and alignment techniques. I gained a deep understanding of how these models work, far beyond what I expected to learn. Javier's clear and structured teaching style made the material engaging and easy to follow. I highly recommend the LLM Mastery course to anyone interested in understanding the inner workings of large language models, regardless of their background.

By Tommaso Iacobellis on 8/31/2024

Premetto che ho lavorato in ambito learning machine, pertanto ho un bagaglio di conoscenze e competenze proupedetiche. Pertanto la mia valutazione potrebbe essere diversa da chi non ha basi. Devo dire che il mio giudizio su questo corso è: FANTASTIC!!

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Overall Score : 94 / 100