A Collection of Learning Resources

ngoctin.work@gmail.com (Nguyen Ngoc Tin) — Fri, 24 Jul 2026 00:00:00 +0000

The resources listed in this note have not been verified yet. They are included so that they can be checked at a later time. The order is random.

“You do not rise to the level of your goals. You fall to the level of your systems.” – James Clear

Icon Legend:

GitHub Repository
Book or Document
Learned or Noted
Video or YouTube
Favorite Resource
Course or MOOC

General Resources

Resource	Type	Description
3Blue1Brown		Visual math and neural network animations
500+ AI Projects with Code		Machine Learning, Deep Learning, CV & NLP projects
Adam Lucek		Developer portfolio, GitHub and YouTube channel
Andrej Karpathy		Deep Learning and Neural Networks lectures
AWS Machine Learning Blog		Official AWS blog for ML architecture & tutorials
Build Your Own X		Recreate programming technologies from scratch
DeepLearning.AI		Start or advance your career in AI
Deep Learning Drizzle		Curated list of high-quality Deep Learning courses
NVIDIA Deep Learning Institute		Hands-on AI and GPU training and certification
DeepTutor		Multi-agent document interactive learning system
Developer Roadmaps - roadmap.sh		Community-created developer learning roadmaps
Distill		Clear and visual machine learning research articles
From 0 to Research Scientist Guide		Self-study guide for AI research scientists
Google AI		Google AI tools, research, training and skills
Google Cloud Skills Boost		Google Cloud training, labs and certifications
Google Skills		Free training and certifications for Google Cloud
Hugging Face Learn		Open-source Machine Learning and NLP courses
Hướng Dẫn Tự Học Trí Tuệ Nhân Tạo		AI self-study guides in Vietnamese
Collection of Kaggle Solutions		Winning Kaggle solutions and competitive ideas
Kaggle Learn Tutorials		Micro-courses for Python, Data Viz, and Pandas
Microsoft Learn Training		Microsoft official developer and cloud courses
Understanding AI Models - IBM		Concise visual explanations of AI technology
Welch Labs		Math, Science, and Machine Learning animations

Learn How to Learn

Resource	Type	Description
A Mind for Numbers		How to excel at math and science by Dr. Barbara Oakley
How To Learn Any Skill So Fast It Feels Illegal		Actionable techniques for rapid skill acquisition
How to Read a Book		Classic guide to intelligent reading by Mortimer Adler
Learning How To Learn Book		Guide for kids and teens on effective learning
Learning How to Learn Coursera		Popular MOOC on mental tools and memory techniques
Make It Stick		Science of successful learning through retrieval practice
Pragmatic Thinking and Learning		Refactor your wetware and cognitive habits by Andy Hunt
Reading Research Papers by Andrew Ng		Efficient workflow for digesting technical papers
Understanding How We Learn		Visual guide to cognitive psychology in learning

Agentic AI

Resource	Type	Description
all-agentic-architectures		Collection of AI Agent system design patterns
Claude Certified Architect – Foundations		Official Anthropic certification for AI architecture

Blogs & Personal Websites

Resource	Type	Description
Andrej Karpathy Blog		Insights on Deep Learning, LLMs, and AI systems
Denny’s Blog		Deep Learning research notes by Denny Britz
Colah’s Blog		Visual and intuitive essays on Neural Networks
Chip Huyen Blog		Machine Learning Systems Design and MLOps
Lil’Log		In-depth technical AI posts by Lilian Weng
Raúl Gómez Blog		Computer Vision and Deep Learning research
ruder.io		NLP and Machine Learning research updates
serrano.academy		Friendly Machine Learning video tutorials
sentdex		Python programming and Machine Learning tutorials
StatQuest with Josh Starmer		Statistics and Machine Learning broken down step by step
vcubingx		Visual Mathematics and Computer Science concepts
Yannic Kilcher		AI paper explanations and machine learning news

Coding Platforms

Resource	Type	Description
CodeChef		Practical coding practice and competitive programming
HackerRank		Technical interview prep and skill assessments
Kaggle Solutions		Repository of competitive machine learning code
LeetCode		Standard platform for Data Structures & Algorithms practice

Computer Science

Resource	Type	Description
CS Video Courses		Comprehensive list of Computer Science video courses
coding-interview-university		Complete CS study plan for software engineering jobs
CS50x 2025 - Harvard		Introduction to Computer Science by David J. Malan
roadmap.sh		Visual learning paths for CS, DevOps, and Frontend
Learn to Program: Crafting Quality Code		Software quality course by University of Toronto
Teach Yourself Computer Science		Curated guide for self-taught software engineers
The Art of Debugging		Comprehensive open book on software debugging
Visualize the Brrr		Learn GPU hardware architecture interactively

Data Structures & Algorithms

Resource	Type	Description
Abdul Bari Channel		Clear and comprehensive lectures on Algorithms
Algorithms by Jeff Erickson		Free open textbook on Algorithm design
Algorithms Part I		Princeton course by Sedgewick & Wayne
Algorithms Part II		Advanced algorithms course from Princeton
awesome-algorithms		Curated list of algorithm learning resources
UCSD DSA Specialization		6-course specialization in Data Structures
PrincetonAlgorithms		Code repository for Algorithms 4th edition
Stanford Algorithms Specialization		Stanford algorithm course taught by Tim Roughgarden

Design Patterns & System Design

Resource	Type	Description
awesome-system-design-resources		Free system design interview study guide
Designing Data-Intensive Applications		Industry-standard book on distributed systems by Kleppmann
Design Patterns (Gang of Four)		Classic reference book on object-oriented design patterns
Head First Design Patterns		Beginner-friendly visual guide to OOP patterns
Introduction to ML Systems - Harvard		Course on building production machine learning systems
python-patterns		Collection of design patterns implemented in Python
Refactoring.guru		Visual interactive guide to refactoring and design patterns

Deep Learning & Neural Networks

Resource	Type	Description
Awesome Deep Learning		Curated list of deep learning tutorials and papers
Deep Learning Specialization		Landmark 5-course series by Andrew Ng
DeepMind x UCL Lecture Series		Advanced lectures on AI and Reinforcement Learning
Dive into Deep Learning		Interactive book with code in PyTorch, JAX and NumPy
Deep Learning Book		Definitive textbook by Goodfellow, Bengio & Courville
NYU Deep Learning Course		Course taught by Turing Award winner Yann LeCun
fast.ai Practical Deep Learning		Hands-on deep learning for coders
Neural Networks Series		Visual introduction to backpropagation by 3Blue1Brown
Neural Networks: Zero To Hero		Build micrograd and GPT from scratch with Andrej Karpathy
Understanding Deep Learning		Comprehensive textbook by Simon J.D. Prince

Generative AI & Large Language Models

Resource	Type	Description
AI Engineering: Foundation Models		Building production applications with LLMs by Chip Huyen
Awesome LLM Apps		LLM apps built with AI Agents and RAG architectures
Build LLM Applications from Scratch		Step-by-step guide to training and building LLMs
ChatGPT Prompt Engineering		Short course by DeepLearning.AI and OpenAI
Generative AI for Beginners - Microsoft		18-lesson curriculum on GenAI by Microsoft
Hands-On Large Language Models		Code repository for language understanding models
LLM Visualization		Interactive 3D visualization of how GPT architecture works
LLMs-from-scratch		Build a Transformer LLM from scratch in PyTorch
Stanford CS229: LLMs Lecture		Building Large Language Models lecture series
Prompt Engineering Guide - Lil’Log		Comprehensive technical reference on prompt techniques

Machine Learning & Mathematics

Resource	Type	Description
100-Days-Of-ML-Code		100-day study roadmap for machine learning algorithms
Hands-On Machine Learning (3rd Ed)		Practical guide using Scikit-Learn, Keras & TensorFlow
Machine Learning Cơ Bản		Machine Learning fundamentals explained in Vietnamese
ML Specialization by Andrew Ng		Updated Stanford ML course series in Python
Pattern Recognition and Machine Learning		Classic foundational textbook by Christopher Bishop
Seeing Theory		Visual interactive introduction to probability & statistics

Developer Tools & AI Workflows

Resource	Type	Description
Connected Papers		Visual graph tool to explore academic research papers
Cursor AI Code Editor		Next-generation AI-first code editor
Claude Code by Anthropic		Agentic CLI tool for codebase interaction
Lightning.ai		Platform for building and training multi-GPU AI models
Vercel AI SDK		Library for building AI streaming web applications
spec-kit		Toolkit for Spec-Driven Software Development

This collection is maintained and updated periodically. Feel free to explore the links above to deepen your technical knowledge.

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