Free AI Courses from Top Universities
Learn artificial intelligence, machine learning, and deep learning for free. Curated courses from world-class universities and platforms — no paywalls, just knowledge.
University Courses — Foundations
MIT 6.034 — Artificial Intelligence
Classic MIT introduction to AI covering knowledge representation, problem solving, and learning methods. Full lecture videos, assignments, and exams available free via OpenCourseWare.
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MIT — AI 101
Designed for those with little to no background in AI. A gentle, accessible introduction to what artificial intelligence is and how it works, from MIT OpenCourseWare.
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MIT — Foundation Models & Generative AI
A non-technical lecture series covering supervised learning, reinforcement learning, and the deep implications of foundation models. Accessible to all backgrounds.
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MIT — How to AI (Almost) Anything
Learn the basic principles of modern deep learning and foundation models, and how to apply AI to real-world data modalities. A hands-on, practical MIT course.
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Stanford CS229 — Machine Learning
The legendary Stanford course by Andrew Ng. Covers supervised and unsupervised learning, reinforcement learning, and statistical pattern recognition. Audit free on Coursera.
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Stanford CME295 — Transformers & LLMs
Covers the journey from NLP basics to advanced Transformer models and large language models. Designed to be accessible even to non-technical learners.
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Harvard CS50 AI — Intro to AI with Python
Explore AI concepts including search algorithms, knowledge models, optimisation, and machine learning using Python. Free to audit on edX with hands-on projects.
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Elements of AI — University of Helsinki
Over 2 million students from 170+ countries. A beginner-friendly, no-code course covering what AI is, what it can do, and how it affects our lives. About 20-30 hours.
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Columbia — Artificial Intelligence
Columbia University's AI course on edX covering intelligent agents, search, games, machine learning, logic, and constraint satisfaction. Free to audit.
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CMU 10-601 — Machine Learning
Carnegie Mellon's rigorous, semester-long introduction to machine learning. Open materials available online covering core ML algorithms and theory.
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University Courses — Specialised Topics
Stanford CS224N — NLP with Deep Learning
One of the top NLP courses in the world. Covers word vectors, neural networks, transformers, and large language models. Full lecture videos free on YouTube.
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Stanford CS231N — Deep Learning for Computer Vision
Teaches you to implement and train neural networks for visual recognition. Covers CNNs, image classification, detection, and segmentation. Materials free online.
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Stanford CS234 — Reinforcement Learning
Explore the core challenges and approaches in reinforcement learning, including how to train agents to make sequential decisions. Course materials available online.
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CMU 17-445 — ML in Production / AI Engineering
Carnegie Mellon course on deploying machine learning models in real-world production systems. Covers MLOps, testing, monitoring, and responsible AI engineering.
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Ethics of AI — University of Helsinki
Explores fairness, transparency, and ethical decision-making in AI through relatable examples and interactive assignments. Accessible for beginners, valuable for professionals.
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Johns Hopkins — Responsible AI & Ethics
Examines bias in human and machine systems, with strategies for mitigating risks. Covers fairness, accountability, and the regulatory landscape. Free to audit on Coursera.
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Vanderbilt — Prompt Engineering for ChatGPT
Learn to craft effective prompts for AI systems. Covers prompt design patterns, optimisation, and advanced techniques. About 18 hours, free to audit on Coursera.
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AI Ethics — Global Perspectives
A free course designed to raise awareness of responsible AI use across institutions. Covers global ethical frameworks, policy approaches, and real-world case studies.
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Tech Company Courses
Google AI Essentials
Learn AI fundamentals in under 5 hours. Practical, hands-on experience using AI for real work tasks through videos, readings, and interactive exercises. By Google.
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Google — Learn AI Skills
Google's collection of AI training resources, tools, and learning paths. Covers understanding AI, using AI tools effectively, and building with AI technology.
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Microsoft — AI for Beginners (24 Lessons)
Open-source GitHub curriculum: 12 weeks, 24 lessons covering symbolic AI, neural networks, computer vision, NLP, and AI ethics. Includes quizzes, labs, and Jupyter Notebooks.
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Microsoft — ML for Beginners (26 Lessons)
Open-source GitHub curriculum: 12 weeks, 26 lessons, 52 quizzes covering classic machine learning for all. Hands-on with scikit-learn and Python.
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AWS — AI & ML Fundamentals
Amazon Web Services Skill Builder offers 600+ free courses covering machine learning fundamentals, generative AI, and cloud-based AI services.
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AWS — AI & ML Scholars 2026
Sponsoring 100,000 learners in 2026. Build foundational AI skills and create your own application on AWS with PartyRock. Challenge phase runs March–June 2026.
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Platform Courses — Deep Learning & ML
fast.ai — Practical Deep Learning for Coders
Learn deep learning by doing. Start with working state-of-the-art networks solving real problems, then dig into how the tools are made. Studied by hundreds of thousands worldwide.
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DeepLearning.AI — AI For Everyone
Andrew Ng's non-technical course explaining what AI can and cannot do. Ideal for business leaders, managers, and anyone wanting to understand AI's impact. Free to audit.
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DeepLearning.AI — Deep Learning Specialisation
Five-course programme by Andrew Ng covering neural networks, improving deep neural networks, structuring ML projects, CNNs, and sequence models. Audit free on Coursera.
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DeepLearning.AI — Generative AI for Everyone
Understand how generative AI works and how to use it. Covers large language models, prompt engineering, and the societal implications of generative AI tools.
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Kaggle Learn — Intro to Machine Learning
Learn core ML ideas and build your first models. Bite-sized, interactive lessons with hands-on coding exercises in Kaggle Notebooks. Completely free.
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Reinforcement Learning Specialisation
University of Alberta on Coursera. Covers fundamentals of RL, sample-based learning methods, and prediction and control. Free to audit all courses.
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Platform Courses — NLP, LLMs & Generative AI
Hugging Face — NLP Course
Learn NLP using the Hugging Face ecosystem: Transformers, Datasets, Tokenizers, and Accelerate libraries. Completely free and without ads.
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Hugging Face — LLM Course
Bridges NLP foundations with cutting-edge large language models. Covers training, fine-tuning, and deploying LLMs using open-source tools.
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Hugging Face — Diffusion Models Course
Learn how diffusion models work for image and audio generation. Covers the theory and practice behind tools like Stable Diffusion. Completely free.
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Vanderbilt — Prompt Engineering Specialisation
Become a prompt engineering expert. Master prompt patterns, techniques, and advanced approaches for getting the best results from AI systems. Free to audit.
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DeepLearning.AI — ChatGPT Prompt Engineering for Developers
Short course by Isa Fulford and Andrew Ng. Learn prompt engineering best practices for building applications with LLM APIs. Completely free.
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AI Agents & Agentic AI
IBM — Building AI Agents & Agentic Workflows
Master agentic AI with multi-agent frameworks like LangGraph and CrewAI. Three courses, about 27 hours total. Free to audit on Coursera.
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IBM — Agentic AI with LangChain & LangGraph
Build agentic AI systems in just 3 weeks. Learn to design and chain AI tools with LangChain and create autonomous agents with LangGraph. Free to audit.
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Hugging Face — Deep Reinforcement Learning
Learn deep RL techniques to train AI agents. Implement classical and modern RL algorithms using PyTorch. Completely free with a certificate.
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Free AI Agents Resources — GitHub
Community-curated hub tracking 300+ agentic AI resources including tutorials, frameworks, tools, and projects. Continuously updated through 2026.
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AI Frameworks & Tools
Zero to Mastery — Learn PyTorch for Deep Learning
Complete free online book with 25+ hours of YouTube video. Covers tensors, neural networks, computer vision, NLP, and custom datasets. Hands-on from day one.
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OpenCV — Free PyTorch Bootcamp
Five-hour bootcamp covering tensors, neural networks, optimisation, and real-world applications like object detection and segmentation. Free with official certificate.
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OpenCV — Free Computer Vision Courses
Learn image processing, object detection, and deep learning for vision applications using OpenCV. Free courses from the creators of the most popular CV library.
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IBM — Deep Learning with PyTorch, Keras & TensorFlow
Professional certificate covering all three major deep learning frameworks. Build, train, and deploy neural networks. Free to audit on Coursera.
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AI for Industry — Healthcare, Business & Cybersecurity
Stanford — AI in Healthcare Specialisation
Stanford University course on applying AI to healthcare data including electronic health records and medical imaging. Build risk-stratification models. Free to audit.
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AI in Healthcare — Class Central Collection
A curated collection of 150 online courses and webinars on AI in healthcare from various universities. Covers medical imaging, drug discovery, clinical NLP, and more.
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Wharton — AI for Business Specialisation
University of Pennsylvania (Wharton) course on understanding and applying AI in business. Non-technical, ideal for managers and leaders. Free to audit on Coursera.
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Johns Hopkins — AI for Cybersecurity Specialisation
Advanced techniques for detecting and mitigating cyber threats with AI. Covers fraud prevention, malware analysis, and adversarial AI. Free to audit on Coursera.
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Oxford — Cybersecurity & AI
Beginner-friendly course exploring how AI enhances threat detection and prevention. Covers risk identification, mitigation, and AI-driven security tools. Completely free.
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Alison — AI-Powered Cybersecurity Fundamentals
Learn how AI detects suspicious activities and prevents cyberattacks. Covers AI fundamentals applied to real cybersecurity challenges. Free with certificate.
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Data Science & Python for AI
IBM — Python for Data Science, AI & Development
Beginner-friendly, self-paced course covering Python, Pandas, NumPy, and Jupyter Notebooks. Build the coding foundation needed for AI and machine learning. Free to audit.
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IBM — Data Science Professional Certificate
Comprehensive programme covering Python, SQL, Jupyter, Pandas, NumPy, scikit-learn, and Matplotlib. Prepares you for a data science career. Free to audit on Coursera.
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Great Learning — Data Science with Python
Free course with certificate covering statistics, machine learning, data transformation, and visualisation using NumPy, Pandas, Matplotlib, and Seaborn.
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IBM — Python for Data Science (Cognitive Class)
Completely free course with hands-on Jupyter environment. Covers Python fundamentals through to data manipulation with Pandas and NumPy. No subscription needed.
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Autonomous Systems & Robotics
University of Michigan — AI for Autonomous Vehicles & Robotics
Explore how machine learning enables vehicles and robots to perceive, learn, and make decisions. Covers sensor fusion, planning, and control. Free to audit on Coursera.
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Self-Driving Cars with Duckietown
The world's first hardware-based MOOC in AI and robotics. Covers lane following, object detection, planning, and more. Now supports virtual Duckiebots. Free on edX.
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University of Toronto — Self-Driving Cars Specialisation
Four-course programme covering localisation, mapping, object detection, motion planning, and vehicle control. Build core components of autonomous driving software. Free to audit.
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NLP & Text Analysis
DeepLearning.AI — NLP Specialisation
Four hands-on courses covering sentiment analysis, machine translation, text summarisation, and chatbots using RNNs, LSTMs, and attention mechanisms. Free to audit.
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NPTEL — Natural Language Processing
Indian university course covering text preprocessing, language modelling, text summarisation, classification, and sentiment analysis. Certification exam in April 2026.
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Great Learning — Introduction to NLP
Free course covering machine learning, logistic regression, and sentiment analysis with TextBlob. Complete the quiz for a certificate. No prerequisites beyond basic Python.
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Maths for Machine Learning
DeepLearning.AI — Maths for ML & Data Science
Three-course specialisation covering linear algebra, calculus, and probability/statistics — the fundamental maths toolkit for machine learning. Taught by Luis Serrano. Free to audit.
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Imperial College London — Maths for ML
Covers linear algebra (vectors, matrices), multivariate calculus, and PCA. Builds intuition for the maths behind ML algorithms. Free to audit on Coursera.
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Johns Hopkins — Foundational Maths for AI
Comprehensive introduction to the mathematical principles behind AI: calculus for optimisation, linear algebra, eigenvectors, and determinants. Free to audit on Coursera.
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Scaler — Maths for ML (Free Course)
Free, self-paced course covering linear algebra, probability, and statistics specifically tailored for machine learning applications. No subscription required.
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RAG, Fine-Tuning & Advanced LLM Techniques
DeepLearning.AI — Retrieval Augmented Generation
Build RAG systems connecting LLMs to external data. Learn retrievers, vector databases, and fine-tuning to improve RAG performance. Free to audit on Coursera.
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Activeloop — RAG with LlamaIndex & LangChain
43 lessons with 7+ hands-on projects. Master LangChain, LlamaIndex, and Deep Memory. Covers RAG agents, evaluation, and observability. Completely free.
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NVIDIA — Augment Your LLM Using RAG
NVIDIA Deep Learning Institute course on building production RAG pipelines. Learn to augment LLMs with external knowledge bases. Free with NVIDIA developer account.
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Boot.dev — Learn RAG from Scratch
Implement search techniques from scratch in Python — from keyword search to a fully functional RAG pipeline using the Gemini API. Free to start.
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MLOps — Deploying AI in Production
DataTalks.Club — MLOps Zoomcamp
Free 3-month course: experiment tracking with MLflow, pipeline orchestration, Docker, model deployment (batch, real-time, streaming), and CI/CD. All materials on GitHub.
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Duke University — MLOps Specialisation
Learn MLOps with Amazon SageMaker, AWS, Azure, MLflow, and Hugging Face. Fine-tune and deploy containerised models using ONNX format. Free to audit on Coursera.
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GitHub — Kubernetes MLOps Tutorial
Open-source tutorial covering the full MLOps workflow using Python, Docker, and Kubernetes. Deploy ML models to production with real-world patterns. Completely free.
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AI for Climate, Finance & Creative Arts
DeepLearning.AI — AI and Climate Change
Explores the mechanisms behind climate change and how AI can help address environmental challenges. Covers satellite data, energy optimisation, and climate modelling. Free to audit.
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Simplilearn — AI in Finance
Free course covering practical AI tools for finance, risk management, and trading strategies. Learn how AI is transforming financial services. Free with certificate.
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Hugging Face — AI Audio Course
Learn to work with audio data using Transformers. Covers speech recognition, audio classification, and text-to-speech generation. Completely free.
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Hugging Face — Open-Source AI Cookbook
Community-driven collection of practical AI recipes covering image generation, music, creative workflows, and multimodal applications. All free and open-source.
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AI for Creative Work — Image, Video & Music
Class Central — AI Image Generation Courses
200+ courses on AI image generation from platforms worldwide. Covers Stable Diffusion, Midjourney, DALL-E, and Flux. Filter by free, beginner-friendly, and rated.
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AIxploria — Free AI Video Tutorials
Collection of free video tutorials covering AI filmmaking with Runway ML, Sora, Veo, Pika, and more. Covers prompting techniques, creative workflows, and post-production.
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Suno — Learn to Create Music with AI
Official Suno hub with guides on creating AI music from scratch. Free tier gives you 10 songs per day — no credit card needed. Covers prompting, genres, and production tips.
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AI Video School
Dedicated learning platform for AI video creation. Covers all major tools — Runway ML, Veo 3, Sora, Adobe Firefly Video, Luma, Haiper, and Pika. Beginner to pro.
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Computer Vision & Object Detection
DeepLearning.AI — Deep Learning for Object Detection
Learn to retrain popular YOLO deep learning models for custom applications. Covers object detection workflows, fine-tuning, and evaluation. Free to audit on Coursera.
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YOLO Custom Object Detection with Colab GPU
Hands-on course: detect objects in images, videos, and live webcam feeds using YOLO on Google Colab with free GPU access. Free to audit on Coursera.
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Class Central — 60+ YOLO Courses
Browse 60+ courses on YOLO object detection from beginner to advanced. Covers YOLOv5 through YOLO11, setup, custom training, and real-world deployment.
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No-Code AI & Automation
FindSkill.ai — Free n8n AI Automation Course
8 lessons covering AI workflow automation with n8n. Build real projects like an AI Email Classifier and Conversational Chatbot. Free with certificate.
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Zapier — Free AI Automation Tier
Zapier's free tier includes AI orchestration (100 tasks/month), AI agents (400 activities/month), and chatbots. Connect 7,000+ apps with no coding needed.
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n8n — Open-Source AI Workflow Platform
Self-hostable, open-source workflow automation with built-in AI capabilities. Free forever for personal use. Build AI agents, connect APIs, and automate tasks visually.
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Time Series & Forecasting
DeepLearning.AI — Sequences, Time Series & Prediction
Build time series models in TensorFlow. Covers sequential data, statistical methods, and deep learning approaches to forecasting. Free to audit on Coursera.
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Class Central — 700+ Time Series Courses
Browse 700+ courses covering ARIMA, SARIMA, LSTMs, Prophet, and modern foundation models for forecasting. Filter by free, level, and platform.
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AI for Kids & Teens
Code.org — AI & CS Curriculum (K-12)
Free, standards-aligned computer science and AI curriculum for all school levels. Used in classrooms worldwide. Includes AI-focused modules on how machine learning works.
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Google Teachable Machine
Train a real machine learning model in minutes — no code, no account needed. Recognise images, sounds, or body poses. Works in the browser, all processing stays on device. Ages 6+.
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Machine Learning for Kids
Train a computer to recognise text, pictures, numbers, or sounds, then build things with it in Scratch, Python, or App Inventor. Used in schools across 100+ countries. Completely free.
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Create & Learn — Free AI Intro Class
Free introductory AI class for kids with no prerequisites. Live, instructor-led sessions covering AI basics through fun, interactive projects. Ages 7-18.
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Raspberry Pi — AI & ML Projects
Free step-by-step project guides including "Rock Paper Scissors by Hand" using Teachable Machine. Great for teens wanting to build real AI-powered gadgets.
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Google AI Experiments
Interactive AI experiments you can play with in your browser. Draw with AI, make music, explore language, and more. Fun, visual, and perfect for curious minds of any age.
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Popular YouTube Channels for Learning AI
3Blue1Brown — Neural Networks Explained
Grant Sanderson's legendary animated series makes neural networks and deep learning visually intuitive. The "Neural Networks" playlist is one of the best introductions ever made. 6M+ subscribers.
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Two Minute Papers
Covers the latest AI research breakthroughs in short, visually engaging videos. Complex papers explained clearly with animations and humour. 1.7M+ subscribers.
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StatQuest with Josh Starmer
Makes the maths behind machine learning feel friendly and approachable. Covers statistics, ML algorithms, and neural networks with clear step-by-step explanations. 1.3M+ subscribers.
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Sentdex
Learn ML by building real projects from start to finish. Covers Python, TensorFlow, PyTorch, and practical applications with full walkthroughs. 1.3M+ subscribers.
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Krish Naik
One of the most complete tutorial collections on YouTube. Covers NLP, ML algorithms, deep learning, data visualisation, and end-to-end projects. 1.4M+ subscribers.
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The AI Advantage
Hosted by Igor Pogany. Focuses on practical AI workflows — building automations, boosting productivity, and integrating AI into daily life. Great for beginners wanting real-world use cases.
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Code Basics
Dhaval Patel walks through building actual AI and data science projects from scratch. Practical, beginner-friendly, and great for teens learning to code with Python.
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Course Aggregators & Directories
MIT Open Learning — 13 AI Courses
A curated list of 13 foundational AI courses and resources from MIT, covering AI basics, machine learning, computer vision, and algorithms. Most are completely free.
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Class Central — AI Course Directory
Browse 28,000+ AI courses indexed from universities and platforms worldwide. Filter by institution, difficulty level, cost, and topic to find the perfect course.
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DeepLearning.AI — All Courses
Over 150 programmes from Andrew Ng's platform, ranging from one-hour short courses to full professional certificates. Serving 7 million+ learners worldwide.
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Stanford Free AI & ML Course List
Full list of Stanford's free AI/ML courses: CS221 (AI), CS229 (ML), CS230 (Deep Learning), CS234 (RL), CS224N (NLP), CS224U (NLU), and CS229M (ML Theory).
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DataTalks.Club — 20+ Free ML Courses
Curated list of the best free machine learning courses from Stanford, MIT, and Google. Well-organised with difficulty ratings and time estimates.
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GitHub — Online ML University
Community-maintained list of free courses from top universities worldwide covering computer science, data science, and machine learning. Continuously updated.
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