Everything AI/ML

Comprehensive guide to supervised learning algorithms and use cases

Google Cloud's explainer on unsupervised learning techniques

OpenAI Spinning Up's introduction to reinforcement learning concepts

DataCamp tutorial covering deep learning fundamentals

Beginner-friendly introduction to natural language processing

GeeksforGeeks overview of computer vision fundamentals

AWS explainer on how generative adversarial networks work

Scikit-learn guide to PCA and other dimensionality reduction methods

Scikit-learn documentation on clustering algorithms

StatLect lecture notes on Bayesian inference fundamentals

Free online textbook on forecasting and time series analysis

Lilian Weng's deep dive into self-supervised learning methods

UC Berkeley lecture notes covering the math foundations for ML

MIT's full linear algebra course, free and self-paced

Stanford lecture series on probability and statistics

Khan Academy's free multivariable calculus course

Coursera course teaching Python fundamentals for AI

Overview of optimization algorithms used in machine learning

Guide to feature engineering and data preprocessing techniques

Scikit-learn documentation on model evaluation metrics

Overview of regularization methods used to prevent overfitting

DataCamp tutorial on common loss functions in machine learning

Cheat sheet covering neural network activation functions

Guide to hyperparameter tuning strategies

Comprehensive guide to prompt engineering techniques

OpenAI's official guide to prompt engineering techniques

Official OpenAI developer documentation on prompt engineering best practices

Official Anthropic guide to prompt engineering for Claude

Copy-paste prompt examples for Claude Code, tagged by task and role

DeepLearning.AI short course on prompt engineering with ChatGPT

Google's free course on prompting essentials

Comprehensive survey of 58 LLM prompting techniques with a unified taxonomy and vocabulary

Hands-on Jupyter notebook tutorial covering prompt engineering techniques for Claude

Interactive tool to visualize how text is tokenized and count tokens for OpenAI models

DeepLearning.AI short course on building and evaluating RAG systems

DeepLearning.AI short course on combining knowledge graphs with RAG

DeepLearning.AI short course on building agentic RAG pipelines with LlamaIndex

DeepLearning.AI short course on fine-tuning LLMs

IBM's Coursera course on advanced LLM fine-tuning techniques

DeepLearning.AI course covering post-training techniques including fine-tuning and RL

Open-source self-improving QA agent that runs natural-language tests across web and mobile applications with persistent memory and self-healing

The coding agent that answers to you, your model, your machine, your rules

Open standard for building reusable skills that extend AI agents across 30+ platforms including Claude, GitHub Copilot, and OpenAI Codex

Agent skill that compresses AI output ~65% with terse, fragment-based responses while preserving reasoning; works across Claude Code, Codex, Gemini, Cursor and 30+ agents

Agent skill enforcing a 'lazy senior developer' philosophy: check YAGNI, codebase, stdlib, platform and existing deps before writing new code (~54% less code); works across 16+ agents

Operational state and coordination layer for agent fleets with multimodal retrieval, Git-style branching, and object-storage-native deployment

Open-source Claude Code skill that runs 25 sub-skills and 18 parallel agents to audit technical SEO, content quality, schema markup, and AI search optimization with falsifiable recommendations

Google Cloud video introducing the Agent2Agent protocol for agent interoperability

YouTube playlist covering AI agent concepts and tutorials

DeepLearning.AI short course on evaluating AI agent performance

DeepLearning.AI short course on agent memory architectures

DeepLearning.AI short course on building agents with LangGraph

DeepLearning.AI short course on agentic design patterns using AutoGen

DeepLearning.AI short course on building multi-agent systems with crewAI

DeepLearning.AI short course on building agentic RAG pipelines with LlamaIndex

DeepLearning.AI short course on event-driven agentic document processing

Google Cloud Skills Boost course on MLOps for generative AI

Video overview of operationalizing generative AI systems

Community resource hub for MLOps best practices

Course on building and deploying production ML systems

PixelBank course on systems and networking fundamentals for AI engineers

OWASP's list of the top 10 security risks for LLM applications

Google's framework for building AI systems securely

Google Cloud blog on agentic AI's role in security operations

Google Cloud blog on strategies to reduce AI costs

Google Cloud blog on optimizing AI workload cost and performance

Official pricing page for Google Cloud's Vertex AI

Coursera specialization on generative AI strategy for executives

Coursera course on integrating generative AI into business strategy

DeepLearning.AI's beginner-friendly course on generative AI for everyone

Google's Coursera course on using AI tools to boost productivity

Google's professional certificate covering practical AI skills

Microsoft's Coursera course on using Copilot in Microsoft 365

University of Maryland's edX course on post-quantum cryptography

IBM Quantum's course on quantum-safe cryptography

DeepLearning.AI specialization on using generative AI in software development

Coursera specialization on AI-powered software development practices

Microsoft Learn path covering GitHub Copilot fundamentals

Latest research and announcements from Google DeepMind

Andrew Ng's foundational machine learning course on Coursera

Andrew Ng's non-technical introduction to AI for business

Andrew Ng's five-course specialization on deep learning

IBM's edX course on practical machine learning with Python

University of Alberta's Coursera specialization on reinforcement learning

Stanford's CS231n course on CNNs for visual recognition

David Silver's classic reinforcement learning lecture series

Stanford's CS224n course on deep learning for NLP

fast.ai's hands-on deep learning course for coders

PixelBank's course collection on CV, LLMs, and VLMs

AWS certification validating machine learning engineering skills

AWS certification covering foundational AI and ML knowledge

Microsoft certification for building AI solutions on Azure

Stanford's professional certificate program in AI and machine learning

GitHub notebooks available

Practical guide to ML and deep learning with popular Python libraries

O'Reilly book on building applications with foundation models

Chip Huyen's free book preparing candidates for ML interviews

Classic book on building reliable, scalable data systems

Chip Huyen's book on building production-ready ML systems

The definitive textbook on deep learning theory and practice

Free textbook covering supervised learning, deep learning, causal inference, and RL

The paper that introduced the Transformer architecture

Introduces GPT-3, a 175B parameter model demonstrating strong few-shot learning across NLP tasks

Introduces chain-of-thought prompting, showing intermediate reasoning steps significantly improve LLM performance on complex tasks

Paper detailing DeepSeek's reasoning-focused R1 model trained with reinforcement learning

TikTok/ByteDance's paper on their real-time recommendation system

Paper introducing BERT, a bidirectional transformer for language understanding

Paper challenging traditional views of generalization in deep learning

DeepMind's paper introducing deep Q-networks for Atari games

Hinton et al.'s paper introducing knowledge distillation

OpenAI's curated reading list of foundational deep RL papers

Video introduction to the PyTorch deep learning framework

Video introduction to the TensorFlow deep learning framework

Browser-based neural network experimentation tool

Official getting-started guide for the scikit-learn library

Official documentation for the XGBoost gradient boosting library

Official getting-started guide for the Keras deep learning API

OpenAI's open-source automatic speech recognition model

Check if your hardware can run AI models locally

Stanford's YouTube channel featuring AI and ML lecture series

Andrej Karpathy's channel on deep learning and LLMs from scratch

FreeCodeCamp's channel with full-length coding and ML courses

Grant Sanderson's channel known for visual, intuitive math explanations

Channel with practical Python and machine learning tutorials

Official news and research updates from OpenAI

Official blog covering DeepMind's research and announcements

Google's official blog on research across AI and computer science

Apple's official machine learning research blog

Amazon's blog covering science and ML research across the company

Microsoft's official blog on AI research and products

Meta's official blog on AI research and models

Explains how Context, Memory, and Harness Engineering differ for AI agents, through one simple analogy

AWS's blog on applied machine learning and ML services

NVIDIA's blog covering deep learning research and applications

Airbnb Engineering's posts on applied AI and ML

Spotify's engineering blog covering ML and platform work

Uber Engineering's articles on applied AI

Netflix's engineering blog covering ML and recommendation systems

Google's blog on applied AI products and research

Reddit community for people learning machine learning

Discord community focused on MLOps discussions

Official Hugging Face community Discord server

Chip Huyen's free book preparing candidates for ML interviews

Curated GitHub repo of resources for ML interview preparation

Chip Huyen's book on building production-ready ML systems

Real-world ML use cases from 100+ companies including Netflix, Airbnb, and Uber

GitHub repo teaching AI engineering concepts from first principles

PixelBank's collection of ML coding interview questions