A carefully curated collection of high quality, completely free AI learning resources organized by topic. Whether you're just starting your AI journey or looking to specialize in a specific domain, this repository provides structured pathways to learn from the best free resources available.
- ✅ 100% Free - No hidden costs, free to audit courses, or genuinely free platforms
- 🎓 Quality Verified - Resources from top institutions (Stanford, MIT, Google, DeepMind)
- 🔄 Regularly Updated - New resources added, outdated ones removed
- 🎯 Well Organized - Categorized by topic for easy navigation
- 🌟 Community Driven - Built and maintained by the AI learning community
Core concepts and mathematical fundamentals for AI
| Category | Description | Resources |
|---|---|---|
| Machine Learning | Foundational ML algorithms and techniques | 6 resources |
| Deep Learning | Neural networks, CNNs, RNNs, and transformers | 6 resources |
| Mathematics for AI | Linear algebra, calculus, probability for ML | 6 resources |
| Data Science | Data analysis, visualization, and statistics | 6 resources |
Cutting-edge AI methodologies and approaches
| Category | Description | Resources |
|---|---|---|
| Reinforcement Learning | RL algorithms, game AI, and policy learning | 6 resources |
| Graph Neural Networks | Graph learning and network analysis | 6 resources |
| Explainable AI (XAI) | Model interpretability and transparent AI | 6 resources |
AI applied to specific industries and fields
| Category | Description | Resources |
|---|---|---|
| Computer Vision | Image processing, object detection, visual recognition | 6 resources |
| Natural Language Processing | Text analysis, language models, and NLP techniques | 6 resources |
| Audio & Speech Processing | Speech recognition, TTS, and audio ML | 6 resources |
| AI in Healthcare | Medical imaging, drug discovery, clinical AI | 6 resources |
| AI in Finance | Algorithmic trading, risk modeling, financial ML | 6 resources |
| Robotics & Autonomous Systems | ROS, robot learning, autonomous vehicles | 6 resources |
Specialized data processing and system architectures
| Category | Description | Resources |
|---|---|---|
| Time Series & Forecasting | Predictive models and sequential data analysis | 6 resources |
| Recommender Systems | Collaborative filtering and personalization | 6 resources |
| Multimodal AI | Vision language models and cross-modal learning | 6 resources |
Frameworks, deployment, and hardware for AI
| Category | Description | Resources |
|---|---|---|
| AI Tools & Frameworks | TensorFlow, PyTorch, and essential AI libraries | 6 resources |
| MLOps & Deployment | Model serving, monitoring, and production ML | 6 resources |
| AI Hardware & Infrastructure | GPUs, TPUs, and distributed training | 6 resources |
| Edge AI & IoT | TinyML and on device machine learning | 6 resources |
Responsible and secure AI development
| Category | Description | Resources |
|---|---|---|
| AI Ethics | Responsible AI, bias, fairness, and safety | 6 resources |
| AI Security & Privacy | Adversarial ML, federated learning, privacy preserving AI | 6 resources |
Career skills and practical applications
| Category | Description | Resources |
|---|---|---|
| Generative AI | LLMs, text generation, and generative models | 6 resources |
| Prompt Engineering | Crafting effective prompts for LLMs | 6 resources |
| AI for Code Generation | AI assisted programming and code tools | 6 resources |
| AI Research & Papers | Research papers and cutting edge findings | 6 resources |
| AI Career & Interview Prep | Career guidance and interview preparation | 6 resources |
- Start with Mathematics for AI - Build your mathematical foundation
- Move to Machine Learning - Andrew Ng's course is perfect
- Then Deep Learning - Build on your ML knowledge
- Explore AI Tools & Frameworks - Get hands-on
- Choose your specialization from the domain-specific categories
- Deep dive into specialized domains (Computer Vision, NLP, Healthcare)
- Learn production skills with MLOps
- Master advanced techniques like Reinforcement Learning or GNNs
- Stay current with AI Research
- Explore cutting-edge topics (Multimodal AI, Explainable AI)
- Study domain applications (Robotics, Finance)
- Master security and privacy (AI Security)
- Optimize systems with AI Hardware & Infrastructure
We love contributions! This repository thrives because of community input.
- Found a great free resource? Open a PR with additions to the relevant category
- Broken link or outdated content? Create an issue or submit a fix
- New category suggestion? Open an issue to discuss
See our Contributing Guidelines for detailed instructions.
Resources included must be:
- ✅ Completely free (or free to audit)
- ✅ High quality and well maintained
- ✅ From reputable sources
- ✅ Actively accessible (no broken links)
- Total Categories: 27
- Total Resources: 162 (6 per category)
- Contributors: Community driven
- Last Updated: October 2025
This project is licensed under the MIT License - see the LICENSE file for details.
If this repository helped you on your AI learning journey, please:
- ⭐ Star this repository to show your support
- 🔀 Fork it to create your own curated list
- 📢 Share it with others who want to learn AI
Feel free to open a PR if you feel like something needs to be added or may be you want to suggest something. If you want to add something then your commit message should be like: added <resource_name> to <section_name>
Learning AI should be accessible to everyone, everywhere.
