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Launch day · books.vizuara.ai
Today, we launch Vizuara Books.
This has been two years in the making. Every workshop and course we have taught, from a first neural network to building an LLM from scratch, has now come together in a single place. Our whole team of engineers poured that work into one product, and drew every idea by hand. The result is a library of around 40 books that is genuinely beautiful to read, anywhere: in your browser, on your phone, and on your Kindle.
Not prose about attention, but the actual shapes: a 512-token sentence becoming a 512×64 query matrix that meets a 64×512 key transpose. 1,664 illustrated capsules so far, in a calm Tufte-style reader. We are proud of how it turned out.
Everything on the shelf — 40 books:
Foundations & math
• Foundations for AI & ML
• Mathematical Foundations for Machine Learning
• Machine Learning Fundamentals
• Deep Learning Fundamentals
• Generative AI Fundamentals
• Convolutional Neural Networks Fundamentals
Build it from scratch
• Build LLMs from Scratch
• Transformers from Scratch
• Neural Networks from Scratch
• Build Decision Trees from Scratch
• Build a Vision Transformer (ViT) from Scratch
• Build a Data-Efficient Image Transformer (DeiT) from Scratch
• Build a NanoVLM from Scratch
• Build a Diffusion Language Model from Scratch
• Build a Mini ClawdBot from Scratch
• RLHF from Scratch
LLM engineering & training
• LLM Finetuning
• LLM Production & Deployment
• RAG in Production
• 5D Parallelism for Large Model Training
• Reinforcement Learning
• AI Context Engineering
• AI Agents Bootcamp
Vision, multimodal & mastery
• Transformers for Vision & Multimodal LLMs
• Computer Vision Bootcamp
• NLP & Computer Vision Mastery
• Machine Learning & Deep Learning Mastery
Robotics
• Modern Robot Learning
• Vision-Language-Action & World Models for Robotics
Science, memory & agents
• Scientific Machine Learning (SciML)
• Memory in AI Systems
• Claude Certified Architect (CCAF)
• The Modern Software Developer
• Prompt Engineering
Tools & craft
• Python for Data Science
• SQL Masterclass
• R Masterclass
• Git & GitHub Masterclass
• Data Structures & Algorithms in Python
• Writing Journal & Conference Papers
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Six of them are free forever, no card — starting with Build LLMs from Scratch, plus Neural Networks from Scratch, Machine Learning Fundamentals, Python for Data Science, Prompt Engineering, and RAG in Production. Every other book opens its first chapter free, and the whole library is one membership ($49/mo or $399/yr).
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Founding offer
For launch, the first 500 members lock the entire library at the founding rate: $299/year, for life (it never rises on renewal, and saves $100 vs annual). It closes at 500 members or on 24 July, whichever comes first — a live seat counter on the site shows how many are left. Explore first; subscribe if the drawings earn it.
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★★★★★ Read a book you like? A short review on its page helps other learners find the shelf, and we read every one.
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Best regards,
Dr. Raj Dandekar, MIT PhD
Co-founder, Vizuara AI Labs
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