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AI Learning Resources
110 curated AI learning resources — 36 courses, 23 hands-on code tutorials, 16 video playlists, 20 certifications, and 15 books. Free and paid, from total beginner to ML engineer.
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110 of 110 resources. Each resource lists its description, tags, level / type and duration.
Courses36
- AI For Everyone~8h
DeepLearning.AI / Coursera, beginner ~8h
Andrew Ng's non-technical intro to AI for business leaders and curious minds. Learn what AI can and cannot do, how to navigate AI strategy, and ethical considerations.FreebeginnercourseBusinessNon-Technical - Elements of AI~15h
University of Helsinki / Reaktor, beginner ~15h
Free online course from the University of Helsinki introducing AI concepts to non-technical audiences. 1 million+ students enrolled. Covers AI basics, machine learning, and societal impacts.FreebeginnercourseBeginnerNon-Technical - Prompt Engineering Guide~4h
DAIR.AI, beginner ~4h
Comprehensive guide covering all major prompt engineering techniques: zero-shot, few-shot, chain-of-thought, tree-of-thought, and advanced prompting strategies for LLMs.FreebeginnercoursePrompt EngineeringLLM - LLM University~20h
Cohere, beginner ~20h
Cohere's free curriculum for learning large language models from basics to advanced RAG, fine-tuning, and deployment. Includes hands-on labs with the Cohere API.FreebeginnercourseLLMRAG - Generative AI Learning Path~12h
Google Cloud / Coursera, beginner ~12h
Google's official generative AI learning path covering LLMs, image generation, responsible AI, and building generative AI applications with Google Cloud tools.FreebeginnercourseGoogle CloudGenerative AI - Practical Deep Learning for Coders~50h
fast.ai, intermediate ~50h
Top-down, code-first approach to deep learning using PyTorch and fastai. Highly recommended for developers who want to build real-world deep learning applications quickly.FreeintermediatecourseDeep LearningPyTorch - Hugging Face NLP Course~30h
Hugging Face, intermediate ~30h
Hands-on NLP with the Transformers library. Learn to fine-tune BERT, GPT-2, and other models. Covers tokenization, training, evaluation, and model deployment.FreeintermediatecourseNLPTransformers - Deep Learning Specialization~120h
DeepLearning.AI / Coursera, intermediate ~120h
5-course series covering neural networks, hyperparameter tuning, regularization, CNNs, RNNs, and sequence models. By Andrew Ng - the definitive deep learning curriculum.intermediatecourseDeep LearningCNNs - AI Safety Fundamentals~40h
BlueDot Impact, intermediate ~40h
An 8-week course on AI alignment and safety research. Covers value alignment, robustness, interpretability, and governance for those interested in AI safety careers.FreeintermediatecourseAI SafetyAlignment - MIT 6.S191: Introduction to Deep Learning~25h
MIT, intermediate ~25h
MIT's intensive deep learning short course. Covers foundations, CNNs, RNNs, GANs, reinforcement learning, and research frontiers. Lecture videos freely available.FreeintermediatecourseDeep LearningMIT - LangChain for LLM Application Development~4h
DeepLearning.AI, intermediate ~4h
Short hands-on course teaching LangChain fundamentals: chains, memory, agents, and document Q&A. Co-taught by LangChain founder Harrison Chase.FreeintermediatecourseLangChainAgents - CS229: Machine Learning (Stanford)~80h
Stanford University, advanced ~80h
Stanford's flagship ML course with full lecture videos online. Covers linear algebra foundations, supervised learning, unsupervised learning, and theoretical ML concepts.FreeadvancedcourseMachine LearningTheory - Machine Learning Engineering for Production (MLOps)~60h
DeepLearning.AI / Coursera, advanced ~60h
4-course specialization on deploying ML systems in production. Covers concept/data drift, CI/CD for ML, model monitoring, and ML system design by Andrew Ng.advancedcourseMLOpsProduction - Building Systems with the ChatGPT API~3h
DeepLearning.AI, intermediate ~3h
Practical short course on building multi-step LLM systems: chains of prompts, input evaluation, output checking, and end-to-end customer service applications.FreeintermediatecourseOpenAIAPI - Building and Evaluating Advanced RAG~3h
DeepLearning.AI / LlamaIndex, intermediate ~3h
Learn advanced RAG techniques including sentence window retrieval, auto-merging retrieval, and RAG triad evaluation. Hands-on with LlamaIndex and TruEra.FreeintermediatecourseRAGLlamaIndex - CS224N: Natural Language Processing with Deep Learning~90h
Stanford University, advanced ~90h
Stanford's advanced NLP course covering word vectors, neural dependency parsing, language models, transformers, and the latest large language model architectures.FreeadvancedcourseNLPDeep Learning - Full Stack LLM Bootcamp~30h
The Full Stack, intermediate ~30h
Intensive bootcamp on building LLM-powered apps covering prompt engineering, LLM APIs, fine-tuning, deployment, and UX for AI products. Used by thousands of engineers.FreeintermediatecourseLLMFull Stack - Kaggle Learn — Micro-Courses~20h
Kaggle / Google, beginner ~20h
Kaggle's free interactive micro-courses covering Python, pandas, ML fundamentals, deep learning, NLP, computer vision, and intro to AI. Browser-based notebooks, instant feedback, and certificates. Used by millions of data scientists worldwide.FreebeginnercoursePythonPandas - AI Agents in LangGraph~5h
DeepLearning.AI / LangChain, intermediate ~5h
Build production-ready AI agents using LangGraph — the stateful agent orchestration framework. Covers ReAct agents, tool use, memory, human-in-the-loop, and multi-agent collaboration patterns. Co-taught with the LangChain team.FreeintermediatecourseAgentsLangGraph - Deep Reinforcement Learning Course~40h
Hugging Face, intermediate ~40h
Hugging Face's free hands-on course on deep reinforcement learning covering Q-Learning, Deep Q-Networks (DQN), Policy Gradient methods, Proximal Policy Optimization (PPO), and multi-agent RL. Includes interactive Unity environments and publishes trained agents to the Hugging Face Hub. Used by 70,000+ learners.FreeintermediatecourseReinforcement LearningDQN - AWS Skill Builder: Machine Learning Foundations~20h
Amazon Web Services, beginner ~20h
Amazon's official free ML foundations learning path on AWS Skill Builder. Covers ML concepts, AWS AI/ML services (SageMaker, Rekognition, Comprehend, Bedrock), and hands-on labs. Essential preparation for the AWS AI Practitioner and ML Specialty certifications. Used by hundreds of thousands of AWS practitioners worldwide.FreebeginnercourseAWSSageMaker - AI for Beginners — 12-Week Curriculum~50h
Microsoft, beginner ~50h
Microsoft's open-source 12-week, 24-lesson curriculum covering the full scope of AI for beginners. Includes symbolic AI, neural networks, computer vision, NLP, generative AI, and responsible AI. All lessons include Jupyter notebooks with Python and TensorFlow/PyTorch exercises. Used by hundreds of thousands of learners on GitHub. Ideal for developers transitioning into AI.FreebeginnercourseBeginnerPython - DeepLearning.AI Short Courses — Full Catalogue~6h
DeepLearning.AI, intermediate ~6h
DeepLearning.AI's ever-expanding catalogue of free 1–3 hour short courses co-developed with leading AI companies including OpenAI, Anthropic, Google, Mistral, Meta, and AWS. Topics span prompt engineering, RAG, fine-tuning, AI agents, LangChain, vector databases, multimodal AI, and AI safety. Each course is taught by practitioners from the sponsoring company and includes hands-on coding exercises.FreeintermediatecourseLLMAgents - Stanford CS25: Transformers United — Lecture Series~30h
Stanford University, advanced ~30h
Stanford's CS25 seminar series bringing together leading researchers to explain and extend the Transformer architecture. Lectures cover attention mechanisms, vision transformers (ViT), language model scaling, multimodal transformers, protein structure prediction (AlphaFold), and the latest research frontiers. Guest speakers have included researchers from DeepMind, OpenAI, Google Brain, and Meta AI. All lectures are freely available on YouTube and the course website. Essential for engineers who want to understand frontier model architectures at a research depth.FreeadvancedcourseTransformersArchitecture - Retrieval-Augmented Generation (RAG)~10h
DeepLearning.AI, intermediate ~10h
Hands-on short course covering the full RAG pipeline: chunking and embedding documents, vector retrieval, reranking, and grounding LLM responses in retrieved context to reduce hallucination. Teaches practical evaluation of retrieval quality and answer faithfulness, with code you can adapt to build production question-answering systems over private knowledge bases.FreeintermediatecourseRAGLLM - Machine Learning Specialization~30h
DeepLearning.AI / Stanford / Coursera, beginner ~30h
Andrew Ng's updated flagship Machine Learning Specialization, the modern successor to his original ML course. Three courses covering supervised learning (regression, classification), advanced learning algorithms (neural networks, decision trees), and unsupervised learning, recommenders, and reinforcement learning. Uses Python, NumPy, scikit-learn, and TensorFlow with hands-on labs. The definitive foundational ML program for beginners who want rigorous intuition plus practical implementation before moving on to deep learning or LLMs.beginnercourseMachine LearningAndrew Ng - AI Fluency: Frameworks and Foundations~10h
Anthropic, beginner ~10h
Anthropic's free course teaching how to work effectively, efficiently, and responsibly with AI systems like Claude. Built around a practical framework (Delegation, Description, Discernment, and Diligence) for collaborating with AI, it covers how to structure prompts, evaluate outputs critically, and use generative AI ethically. A strong, vendor-grounded starting point for non-technical professionals and teams who want durable habits for working alongside AI rather than one-off prompt tricks.FreebeginnercourseAI FluencyPrompt Engineering - Agentic AI~16h
DeepLearning.AI, intermediate ~16h
A hands-on DeepLearning.AI course on building AI agents that plan, use tools, reflect, and coordinate to complete multi-step tasks. Covers core agentic design patterns — reflection, tool use, planning, and multi-agent collaboration — and how to compose them into reliable workflows with evaluation and guardrails. Aimed at developers who already understand LLM basics and want to move from single prompts to autonomous, tool-using agent systems that operate over multiple steps.intermediatecourseAI AgentsAgentic AI - 5-Day Generative AI Intensive~20h
Google / Kaggle, intermediate ~20h
Google and Kaggle's free intensive program covering the foundations of generative AI in a compressed, project-driven format. Topics span foundation models and prompting, embeddings and vector databases, retrieval-augmented generation, AI agents, and building and evaluating LLM applications, with accompanying whitepapers and hands-on codelabs. A practical, fast-paced path for developers who want breadth across the modern generative-AI stack with runnable Kaggle notebooks.FreeintermediatecourseGenerative AIRAG - Building Effective Agents with Claude~10h
Anthropic, intermediate ~10h
Anthropic's practical guidance for building reliable AI agents with Claude, drawn from its widely cited 'Building Effective Agents' engineering work. Covers when to use simple workflows versus autonomous agents, common agent patterns (prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer), tool design and tool use, and how to keep agentic systems debuggable and cost-effective. A grounded, pattern-first path for developers moving from single prompts to multi-step, tool-using systems.FreeintermediatecourseAI AgentsClaude - Hugging Face AI Agents Course~18h
Hugging Face, intermediate ~18h
Hugging Face's free, hands-on course on building AI agents from the ground up. Covers agent fundamentals, the think-act-observe loop, tools and function calling, popular agent frameworks (smolagents, LlamaIndex, LangGraph), retrieval and memory, and evaluating agentic systems, culminating in a capstone project and certification. A practical route for developers who want to build and ship working agents with open-source tooling.FreeintermediatecourseAI AgentsHugging Face - MCP: Build Rich-Context AI Apps with Anthropic~6h
DeepLearning.AI / Anthropic, intermediate ~6h
A short course from DeepLearning.AI and Anthropic on the Model Context Protocol (MCP), the open standard for connecting AI applications and agents to external tools, data, and resources. Learn how MCP standardizes context sharing between LLM apps and services, how to build MCP servers and clients, and how to connect Claude and other models to real tools and data sources to build rich-context, interoperable AI applications.FreeintermediatecourseMCPAnthropic - Google Prompting Essentials~9h
Google / Coursera, beginner ~9h
Google's practical prompting course teaching a repeatable framework for writing effective prompts across generative-AI tools. Covers the task-context-references-evaluate-iterate approach, prompting for everyday work tasks like summarizing, drafting, and data analysis, using AI as a thought partner and role-playing assistant, and chaining prompts for multi-step workflows. Designed for professionals who want to get consistently better results from tools like Gemini and other LLMs without a technical background.beginnercoursePrompt EngineeringGoogle - ChatGPT Prompt Engineering for Developers~8h
DeepLearning.AI / OpenAI, beginner ~8h
A short, free course from DeepLearning.AI and OpenAI teaching developers how to use large language models via the API to build applications. Covers prompting principles, writing clear and specific instructions, giving the model time to reason, iterative prompt development, and practical capabilities like summarizing, inferring, transforming, and expanding text, ending with building a simple chatbot. Taught by Isa Fulford and Andrew Ng with runnable Jupyter notebooks so developers can experiment as they learn.FreebeginnercoursePrompt EngineeringDeepLearning.AI - LangChain Academy — Introduction to LangGraph~13h
LangChain, intermediate ~13h
LangChain's free course teaching how to build controllable, stateful agent applications with LangGraph. Covers graph-based agent architectures, state and memory, human-in-the-loop workflows, breakpoints and time travel for debugging, persistence, and deploying agents to production. Delivered with video lessons and runnable notebooks, it is a practical resource for developers who want reliable, production-grade agentic systems rather than brittle single-prompt chains.FreeintermediatecourseAI AgentsLangChain - Stanford CS336: Language Modeling from Scratch~60h
Stanford University, advanced ~60h
Percy Liang and Tatsunori Hashimoto's implementation-heavy Stanford course on building language models from scratch, from a BPE tokenizer and Transformer to GPU kernels such as FlashAttention2 in Triton. Course materials and lecture videos are publicly available.FreeadvancedcourseLLMsTransformers
Tutorials23
- The Illustrated Transformer~1h
Jay Alammar, intermediate ~1h
Jay Alammar's visual and intuitive explanation of the Transformer architecture. The best resource for understanding attention mechanisms, positional encoding, and encoder-decoder structure.FreeintermediatetutorialTransformersAttention - The Illustrated BERT, ELMo, and Co.~1h
Jay Alammar, intermediate ~1h
Visual explanation of BERT, ELMo, and ULMFiT - the pre-training approaches that revolutionized NLP. Explains context-dependent word embeddings, masked language modeling, and next-sentence prediction.FreeintermediatetutorialBERTNLP - TensorFlow Neural Network Playground~1h
Google, beginner ~1h
Interactive browser tool to visualize how neural networks learn. Experiment with hidden layers, activation functions, and datasets in real time. The best hands-on intro to neural network intuition.FreebeginnertutorialInteractiveVisualization - A Visual Introduction to Machine Learning~1h
R2D3, beginner ~1h
Gorgeous interactive visual essay explaining decision trees, overfitting, and machine learning fundamentals. Animated scrollytelling format makes abstract concepts immediately concrete and memorable.FreebeginnertutorialVisualDecision Trees - Distill.pub - Interactive ML Research~5h
Distill, advanced ~5h
Peer-reviewed journal publishing interactive visual explanations of ML research. Articles on attention, feature visualization, circuits in neural nets, and multimodal neurons. Research-grade but beautifully explained.FreeadvancedtutorialResearchVisualization - The Annotated Transformer~3h
Harvard NLP, advanced ~3h
Line-by-line implementation of the Transformer architecture from 'Attention Is All You Need' in PyTorch with detailed annotations. The definitive code tutorial for understanding transformers from first principles.FreeadvancedtutorialTransformersPyTorch - Lilian Weng's AI Blog~10h
Lilian Weng (OpenAI), advanced ~10h
OpenAI Head of Safety's comprehensive technical blog. Definitive deep-dive articles on attention mechanisms, policy gradients, diffusion models, LLM alignment, and agent frameworks. Extremely well-written and thorough.FreeadvancedtutorialAttentionRL - Andrej Karpathy's Blog~3h
Andrej Karpathy, intermediate ~3h
Former Tesla AI Director's influential technical blog. Classic posts include 'The Unreasonable Effectiveness of RNNs', 'A Recipe for Training Neural Networks', and 'Hacker's Guide to Neural Networks'.FreeintermediatetutorialRNNsTraining Tips - Machine Learning Cheatsheet~2h
ML Cheatsheet Community, intermediate ~2h
Clear, concise documentation on ML concepts including linear regression, logistic regression, gradient descent, neural networks, and evaluation metrics. Great quick reference and study guide.FreeintermediatetutorialReferenceRegression - Practical Deep Learning: A Free Online Book~20h
fast.ai, intermediate ~20h
The companion book to fast.ai's course, available free online. Covers deep learning from foundations to state-of-the-art tabular, NLP, and computer vision applications with Jupyter notebooks.FreeintermediatetutorialDeep Learningfastai - OpenAI Cookbook~5h
OpenAI, intermediate ~5h
Official OpenAI repository of practical examples and guides for using the OpenAI API. Covers embeddings, fine-tuning, function calling, batch processing, and building production-ready AI applications.FreeintermediatetutorialOpenAI APIEmbeddings - Hugging Face Tutorials~8h
Hugging Face, intermediate ~8h
Official Hugging Face tutorials covering fine-tuning LLMs with PEFT/LoRA, diffusion models, text generation, translation, and building inference pipelines. Regularly updated with latest models.FreeintermediatetutorialLoRAFine-tuning - Google Machine Learning Crash Course~15h
Google, beginner ~15h
Google's free self-study guide to ML basics with interactive visualizations, videos, and programming exercises. Covers framing ML problems, loss reduction, generalization, and neural networks. 15+ hours of content.FreebeginnertutorialGoogleBeginner - Spinning Up in Deep RL~40h
OpenAI, advanced ~40h
OpenAI's comprehensive educational resource for deep reinforcement learning. Covers the fundamentals of RL theory, key algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), and hands-on implementations in PyTorch. Includes a curated reading list of landmark papers and documentation on running your own RL experiments. The gold-standard starting point for serious RL research and RLHF practitioners.FreeadvancedtutorialReinforcement LearningPPO - Responsible AI Practices~3h
Google, intermediate ~3h
Google's official responsible AI documentation and best practices, covering fairness, interpretability, privacy, security, and safety in ML systems. Includes practical guidance on identifying and mitigating bias in training data, model interpretability techniques, and checklists for responsible AI product development. Essential reference for teams building production AI systems that must meet ethical and regulatory standards.FreeintermediatetutorialResponsible AIFairness - Anthropic Prompt Engineering Interactive Tutorial~4h
Anthropic, beginner ~4h
Anthropic's official interactive tutorial for prompt engineering with Claude. Covers foundational techniques — clarity, role specification, chain-of-thought, XML structuring — through hands-on exercises directly in the browser. Essential starting point for anyone building applications with Claude or other large language models. Regularly updated to reflect Claude's latest capabilities.FreebeginnertutorialPrompt EngineeringClaude - Google Gemini API Cookbook~5h
Google, intermediate ~5h
Google's official open-source cookbook for the Gemini API, with 100+ Jupyter notebook examples covering multimodal prompting, function calling, code execution, long-context document analysis, grounding with Google Search, embeddings, and Gemini integration with LangChain and LlamaIndex. Kept continuously updated as new Gemini capabilities launch. The fastest path to production-ready Gemini integrations for developers building with Google AI Studio or Vertex AI.FreeintermediatetutorialGeminiGoogle - Simon Willison's Weblog — LLM and AI Coverage~3h
Simon Willison, intermediate ~3h
Simon Willison (co-creator of Django) maintains one of the most practical and technically rigorous independent blogs covering LLMs, AI tools, and AI safety. Posts cover hands-on experiments with every major model release, the LLM CLI tool (a Python CLI for running local and API-based LLMs), prompt injection attacks, retrieval-augmented generation, and critical analysis of AI company claims. Essential reading for developers who want opinionated, practitioner-level AI coverage without hype.FreeintermediatetutorialLLMPractical - Building Effective Agents~6h
Anthropic, advanced ~6h
Anthropic's engineering guide to building reliable LLM agents in production. Distinguishes workflows from agents, walks through composable patterns — prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer loops — and argues for starting with the simplest approach that works before reaching for autonomous agents. Includes practical guidance on tool design, when agentic systems are worth the cost, and how to keep them debuggable.FreeadvancedtutorialAgentsLLM - Gemini for Google Workspace Prompting Guide 101~5h
Google, beginner ~5h
Google's practical prompting handbook for getting useful results from Gemini across Workspace apps. Introduces a simple prompt formula — persona, task, context, and format — and provides role-based example prompts for marketing, sales, HR, executives, and customer service. A fast, approachable on-ramp for non-technical professionals adopting generative AI in everyday work.FreebeginnertutorialPrompt EngineeringGemini - Model Context Protocol (MCP) Documentation~6h
Anthropic, advanced ~6h
The official documentation for the Model Context Protocol, an open standard for connecting AI assistants to external data sources, tools, and systems through a uniform client-server interface. Covers the protocol architecture, building MCP servers in Python and TypeScript, exposing tools, resources, and prompts, and integrating with clients like Claude Desktop and IDEs. Essential for developers building agentic systems that need standardized, reusable connections to real-world context instead of bespoke one-off integrations.FreeadvancedtutorialMCPAgents - Anthropic Claude Cookbook~14h
Anthropic, intermediate ~14h
Anthropic's open-source collection of runnable code recipes and notebooks for building with Claude. Covers practical patterns including tool use and function calling, retrieval-augmented generation, vision and PDF processing, structured outputs (JSON), prompt caching, sub-agents, and agentic workflows. A hands-on, example-first resource for developers who want working reference implementations rather than conceptual overviews.FreeintermediatetutorialClaudeAnthropic - AI Agents for Beginners~12h
Microsoft, intermediate ~12h
Microsoft's open-source, multi-lesson course on building AI agents, published on GitHub with runnable code examples. Covers agentic design patterns, tool use and function calling, agentic RAG, planning and multi-agent systems, metacognition, and production deployment concerns like trust and safety. Framework-inclusive with examples spanning Azure AI, Semantic Kernel, and AutoGen, it is a hands-on starting point for developers who want to build working agents rather than just read about them.FreeintermediatetutorialAI AgentsMicrosoft
Video playlists16
- Neural Networks - 3Blue1Brown~3h
3Blue1Brown, beginner ~3h
Beautiful visual explainer of neural networks, backpropagation, and gradient descent. The best mathematical intuition builder available - essential watching before any ML course.FreebeginneryoutubeNeural NetworksVisualization - StatQuest - Machine Learning Series~20h
StatQuest with Josh Starmer, beginner ~20h
Josh Starmer breaks down statistics and ML concepts with unmatched clarity. Best series for understanding the math behind ML without a PhD. Covers SVMs, random forests, PCA, neural nets.FreebeginneryoutubeStatisticsMachine Learning - AI Explained~5h
AI Explained, beginner ~5h
Accessible explanations of the latest AI developments, models, and research papers. Ideal for staying current with GPT-4, Claude, Gemini, and frontier AI developments without deep technical background.FreebeginneryoutubeAI NewsLLM - Computerphile - AI & Machine Learning~10h
Computerphile, beginner ~10h
University of Nottingham's Computerphile channel explains AI, ML, and deep learning concepts clearly. Great for intuition on neural networks, NLP, and AI ethics without heavy math.FreebeginneryoutubeAI ConceptsNLP - Python Machine Learning Tutorials~25h
Sentdex, intermediate ~25h
Harrison Kinsley's hands-on Python ML series covering scikit-learn, TensorFlow, and neural networks. Practical, project-based approach covering clustering, regression, classification, and deep learning.FreeintermediateyoutubePythonscikit-learn - Two Minute Papers~5h
Two Minute Papers, intermediate ~5h
Károly Zsolnai-Fehér summarizes the latest AI research papers in 2-5 minutes with enthusiasm and clarity. Essential for staying current with computer vision, RL, and generative AI research.FreeintermediateyoutubeResearch PapersComputer Vision - Lex Fridman Podcast - AI Episodes~30h
Lex Fridman, intermediate ~30h
Deep long-form interviews with the world's leading AI researchers and practitioners including Sam Altman, Yann LeCun, Geoffrey Hinton, Andrej Karpathy, and Demis Hassabis.FreeintermediateyoutubeInterviewsResearch - Weights & Biases ML Courses~15h
Weights & Biases, intermediate ~15h
Practical MLOps and deep learning content from W&B. Covers experiment tracking, model evaluation, LLM fine-tuning, and hands-on tutorials with PyTorch and Keras.FreeintermediateyoutubeMLOpsPyTorch - Yannic Kilcher - Paper Walkthroughs~10h
Yannic Kilcher, advanced ~10h
Detailed walkthroughs of landmark AI research papers including GPT-4, DALL-E, AlphaFold, and RLHF. Best channel for understanding how frontier AI systems actually work at the research level.FreeadvancedyoutubeResearch PapersGPT - Stanford CS231n - Convolutional Neural Networks~30h
Stanford University, advanced ~30h
Stanford's legendary computer vision course lectures on YouTube. Covers CNNs, object detection, image segmentation, generative models (GANs/VAEs), and video understanding.FreeadvancedyoutubeComputer VisionCNNs - Hugging Face - Tutorials & Demos~10h
Hugging Face, intermediate ~10h
Official Hugging Face YouTube with tutorials on Transformers, fine-tuning, diffusion models, and PEFT techniques. Directly from the team building the most widely used AI library.FreeintermediateyoutubeTransformersFine-tuning - Google DeepMind - Research Talks~15h
Google DeepMind, advanced ~15h
Official DeepMind channel featuring research presentations on AlphaFold, Gemini, reinforcement learning, AI safety, and neuroscience-inspired AI from the world's leading research lab.FreeadvancedyoutubeResearchAlphaFold - Build AI Apps with Python - Crash Course~5h
Patrick Loeber, beginner ~5h
Practical crash course on building AI-powered applications with Python including ChatGPT API integration, LangChain chatbots, image generation with DALL-E, and Whisper transcription.FreebeginneryoutubePythonChatGPT API - AI in 100 Seconds - Fireship~2h
Fireship, beginner ~2h
Jeff Delaney's lightning-fast explainers on AI tools, frameworks, and concepts. Perfect for developers who want a quick mental model of GPT, diffusion models, and AI coding tools.FreebeginneryoutubeQuick OverviewDeveloper-Focused - Intro to Large Language Models~1h
Andrej Karpathy, intermediate ~1h
Andrej Karpathy's widely shared 1-hour lecture giving a clear, no-fluff mental model of what LLMs are and how they work — covering tokenization, transformer architecture, pretraining, fine-tuning, RLHF, emergent capabilities, and practical LLM system security risks. Considered one of the best single-video introductions to LLMs for engineers who already know the basics of ML. Viewed 3M+ times.FreeintermediateyoutubeLLMTransformers - Neural Networks: Zero to Hero~12h
Andrej Karpathy, advanced ~12h
Andrej Karpathy's acclaimed free video course building neural networks from scratch in Python, culminating in a from-first-principles implementation of a GPT-style transformer (nanoGPT / makemore). Starts with micrograd and backpropagation by hand, then progressively constructs language models, explaining autograd, tokenization, attention, and training dynamics in depth. The single best resource for developers who want to truly understand how modern LLMs work under the hood rather than just calling an API.FreeadvancedyoutubeNeural NetworksTransformers
Certifications20
- AWS Certified AI Practitioner~20h
Amazon Web Services, beginner ~20h
Foundation-level AI/ML certification from AWS. Validates understanding of AI concepts, AWS AI services (SageMaker, Rekognition, Comprehend), and responsible AI practices.beginnercertificationAWSCloud - Microsoft Azure AI Fundamentals (AI-900)~15h
Microsoft, beginner ~15h
Entry-level Azure AI certification. Covers AI workloads, machine learning concepts, computer vision, NLP, and responsible AI principles on Azure.beginnercertificationAzureMicrosoft - IBM AI Engineering Professional Certificate~80h
IBM / Coursera, intermediate ~80h
6-course professional certificate covering machine learning, deep learning with Keras/TensorFlow/PyTorch, computer vision, and deploying AI models. Highly regarded for career transitions.intermediatecertificationIBMDeep Learning - TensorFlow Developer Certificate~40h
Google / TensorFlow, intermediate ~40h
Validate your TensorFlow skills building and training neural network models. Covers image classification, NLP with TensorFlow, time series, and sequence models. Taken via remote proctored exam.intermediatecertificationTensorFlowGoogle - Microsoft Azure AI Engineer Associate (AI-102)~40h
Microsoft, intermediate ~40h
Associate-level certification for designing and implementing Azure AI solutions. Covers Azure Cognitive Services, Azure ML, conversational AI, and knowledge mining.intermediatecertificationAzureAI Services - AWS Certified Machine Learning - Specialty~60h
Amazon Web Services, advanced ~60h
Specialty certification validating ability to design, implement, deploy and maintain ML solutions on AWS. Covers data engineering, exploratory analysis, modeling, and MLOps with SageMaker.advancedcertificationAWSSageMaker - Google Professional ML Engineer~40h
Google Cloud, advanced ~40h
Professional certification for ML engineers working on Google Cloud Platform. Covers ML problem framing, data preparation, model development, and MLOps on Vertex AI.advancedcertificationGoogle CloudVertex AI - Databricks Certified Machine Learning Professional~60h
Databricks, advanced ~60h
Professional certification for ML practitioners using Databricks lakehouse platform. Covers MLflow, feature engineering, model deployment, and ML pipelines on Apache Spark.advancedcertificationDatabricksMLflow - NVIDIA Deep Learning Institute - Fundamentals of Deep Learning~8h
NVIDIA, intermediate ~8h
NVIDIA's instructor-led certification in deep learning fundamentals. Hands-on training with GPU-accelerated deep learning covering CNNs, data augmentation, transfer learning, and deployment.intermediatecertificationNVIDIAGPU - IBM Data Science Professional Certificate~110h
IBM / Coursera, beginner ~110h
10-course program covering data science tools, Python for data science, SQL, data visualization, machine learning, and a capstone project. One of the most popular certificates on Coursera.beginnercertificationData SciencePython - CertNexus Certified Artificial Intelligence Practitioner (CAIP)~30h
CertNexus, intermediate ~30h
Vendor-neutral AI certification covering ML model development, deep learning, NLP, computer vision, AI ethics, and deployment. Recognized by CompTIA as complementary to IT certifications.intermediatecertificationVendor-NeutralML - CS50's Introduction to Artificial Intelligence with Python~50h
Harvard / edX, beginner ~50h
Harvard's free AI course covering search algorithms, knowledge representation, uncertainty, optimization, machine learning, neural networks, and NLP. Certificate available via edX.FreebeginnercertificationHarvardPython - Generative AI with LLMs~20h
DeepLearning.AI / AWS / Coursera, intermediate ~20h
Deep dive into generative AI and LLMs covering transformer architecture, fine-tuning, RLHF, and deployment considerations. Co-developed by AWS and taught by Deeplearning.AI.intermediatecertificationLLMsTransformers - Google Cloud Generative AI Leader Certification~12h
Google Cloud, beginner ~12h
Google Cloud's business-focused certification validating a foundational, strategic understanding of generative AI. Covers core generative-AI and LLM concepts, real-world enterprise use cases, Google Cloud's AI stack (Vertex AI, Gemini), responsible AI, and how to identify and drive AI adoption across an organization. Aimed at leaders, product managers, and non-engineers who need to make informed decisions about deploying generative AI, rather than build models themselves. No prerequisites; 90 minutes, 50-60 multiple-choice questions, $99 plus applicable tax, valid for three years, sat remotely proctored or at a test centre. Vendor-specific by design — pair it with a vendor-neutral governance credential if the goal is regulatory competence rather than platform fluency.beginnercertificationGenerative AIGoogle Cloud - IAPP Artificial Intelligence Governance Professional (AIGP)~40h
IAPP, intermediate ~40h
The leading AI governance credential for compliance, legal, and privacy professionals. Covers AI laws and emerging regulation, the EU AI Act, GDPR intersections, liability and intellectual property, AI risk management, and responsible AI practice across development and deployment. Certification runs on two-year terms with continuing-education requirements.intermediatecertificationAI GovernanceEU AI Act - ISO/IEC 42001 Lead Implementer~40h
PECB, advanced ~40h
Implementation-focused credential for building an AI management system to ISO/IEC 42001. Covers AI policy, cross-functional oversight, mandatory risk assessment and treatment, data quality and third-party supplier management, monitoring, and preparation for certification audit. Best suited to governance leads and implementation consultants rather than to legal interpretation.advancedcertificationISO 42001AI Governance - ISO/IEC 42001 Lead Auditor~45h
BSI, advanced ~45h
Audit and assurance credential for assessing AI management systems against ISO/IEC 42001. Covers planning, leading, and reporting audits, including second-party auditing of suppliers and subcontractors. The strongest fit for internal and external auditors, certification bodies, and third-party risk assessors testing whether AI governance actually works.advancedcertificationISO 42001Audit - ISACA Advanced in AI Risk (AAIR)~35h
ISACA, advanced ~35h
Enterprise risk credential extending established GRC practice into AI. Covers AI models and frameworks, organisational processes, ownership and accountability, policy and training, regulatory compliance and legal considerations, and AI trustworthiness. Assumes an existing IT-risk background — the programme covers AI-specific risk and deliberately does not re-teach foundational IT risk.advancedcertificationAI RiskGRC - ISACA Advanced in AI Audit (AAIA)~35h
ISACA, advanced ~35h
Audit credential covering AI governance and risk, AI operations, and AI-specific auditing tools and techniques. Requires CISA or another qualifying designation as a prerequisite — it is an advanced credential, not an entry point. Best suited to internal and external auditors whose objective is AI assurance rather than regulatory interpretation.advancedcertificationAI AuditAssurance - ISACA Advanced in AI Security Management (AAISM)~35h
ISACA, advanced ~35h
Security-weighted AI governance credential covering AI programme management, AI risk management, and AI technologies and controls, including regulatory requirements, policy, data governance, and incident response. Requires CISM or CISSP as a prerequisite. Relevant to compliance work but centred on security rather than on broad AI governance.advancedcertificationAI SecurityAI Governance
Books15
- Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow~40h
Aurélien Géron (O'Reilly), intermediate ~40h
The most practical and widely recommended ML book. Covers end-to-end ML projects, classification, regression, SVMs, decision trees, ensemble methods, and deep learning with TensorFlow/Keras. Now in 3rd edition.intermediatebookPythonscikit-learn - Deep Learning~60h
Goodfellow, Bengio & Courville (MIT Press), advanced ~60h
The definitive academic textbook on deep learning by its founders. Covers probability theory, information theory, linear algebra, optimization, CNNs, RNNs, autoencoders, and generative models. Free online.FreeadvancedbookDeep LearningMathematics - The Hundred-Page Machine Learning Book~10h
Andriy Burkov, intermediate ~10h
Remarkably concise book covering the essentials of ML in ~130 pages. Covers supervised learning, neural networks, regularization, SVMs, and ensembles. Excellent refresher or introduction for experienced engineers.intermediatebookConciseMachine Learning - AI Superpowers: China, Silicon Valley, and the New World Order~8h
Kai-Fu Lee, beginner ~8h
Former Google China president Kai-Fu Lee analyzes the US-China AI race, predicts which jobs will be automated, and explores AI's societal and economic implications. A must-read for executives and policymakers.beginnerbookBusinessChina - The Alignment Problem~12h
Brian Christian (Norton), intermediate ~12h
Compelling narrative account of the AI alignment problem - the challenge of getting AI systems to do what we actually want. Covers value alignment, fairness, interpretability, and AI safety research.intermediatebookAI SafetyAlignment - Human Compatible: Artificial Intelligence and the Problem of Control~10h
Stuart Russell (Viking), intermediate ~10h
UC Berkeley AI professor Stuart Russell reframes the AI safety problem and proposes a new approach to building provably beneficial AI. Essential reading for anyone thinking seriously about AGI risks.intermediatebookAI SafetyAGI - Pattern Recognition and Machine Learning~80h
Christopher Bishop (Springer), advanced ~80h
The gold standard graduate textbook for probabilistic machine learning. Covers Bayesian methods, kernel machines, graphical models, EM algorithm, and mixture models. Free PDF available from Microsoft Research.FreeadvancedbookProbabilistic MLBayesian - Mathematics for Machine Learning~40h
Deisenroth, Faisal & Ong (Cambridge), advanced ~40h
Covers the mathematical foundations necessary for modern ML: linear algebra, analytic geometry, matrix decompositions, probability, optimization, and dimensionality reduction. Free PDF from Cambridge.FreeadvancedbookMathematicsLinear Algebra - Natural Language Processing with Transformers~25h
Lewis Tunstall et al. (O'Reilly), intermediate ~25h
The definitive practical guide to NLP with Hugging Face Transformers. Covers text classification, named entity recognition, question answering, summarization, and generation. Written by the Hugging Face team.intermediatebookNLPTransformers - Designing Machine Learning Systems~20h
Chip Huyen (O'Reilly), advanced ~20h
Comprehensive guide to designing production ML systems from a systems engineering perspective. Covers data engineering, feature engineering, model development, deployment, monitoring, and MLOps at scale.advancedbookMLOpsProduction - The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma~10h
Mustafa Suleyman (Crown), beginner ~10h
DeepMind co-founder Mustafa Suleyman argues that AI and synthetic biology represent an unprecedented technological wave that will reshape power, democracy, and human civilization. Essential for policymakers.beginnerbookPolicySociety - Life 3.0: Being Human in the Age of Artificial Intelligence~10h
Max Tegmark (Knopf), beginner ~10h
MIT physicist Max Tegmark explores near-future AI scenarios, existential risks, and what it means to flourish in a world with superintelligent AI. Accessible and thought-provoking for non-technical readers.beginnerbookAGIFuture - Building LLM Apps~18h
Valentina Alto (Packt), intermediate ~18h
Practical guide to building production-ready LLM-powered applications with LangChain, LlamaIndex, vector databases, and OpenAI APIs. Covers chatbots, RAG systems, and AI agents with Python.intermediatebookLLMsLangChain - Build a Large Language Model (From Scratch)~35h
Sebastian Raschka (Manning), advanced ~35h
Step-by-step guide to building a GPT-class LLM entirely from scratch in Python — from tokenization and attention mechanisms to pre-training and fine-tuning with RLHF and instruction tuning. The most hands-on LLM book of 2024.advancedbookLLMGPT - AI Engineering: Building Applications with Foundation Models~600h
Chip Huyen / O'Reilly, intermediate ~600h
Chip Huyen's O'Reilly book (December 2024) on building applications with foundation models: evaluation, prompt engineering, RAG, agents, finetuning, dataset engineering and inference latency and cost. It builds on her Designing Machine Learning Systems.intermediatebookAI EngineeringLLMs