Awesome Robotics Resources
Free Robotics & AI learning resources, including courses, books, lectures, research papers, tutorials, projects, and more.
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Artificial Intelligence
From classical AI and machine learning to LLMs, agents, evaluation and safety. Pick a subject, then pick how you like to learn.
Subjects
- Artificial Intelligence: Foundations of AI: search, knowledge, planning, agents and the big picture.
- Machine Learning: Classical ML: regression, classification, trees, evaluation, and the practical workflow.
- Deep Learning: Neural networks, backpropagation, CNNs, transformers, training practice.
- Reinforcement Learning: Agents learning from interaction: MDPs, value methods, policy gradients, deep RL.
- Computer Vision: Image understanding: classification, detection, segmentation, geometry, video.
- Natural Language Processing: Text modeling from classic NLP to modern pipelines.
- Generative AI: Diffusion models, VAEs, GANs and generative modeling in general.
- Large Language Models: How LLMs work, how to train and adapt them, and how to use them well.
- Multimodal AI: Models that combine vision, language, audio and action.
- Speech & Audio AI: Speech recognition, synthesis and audio modeling.
- AI Agents: Tool use, planning and agent frameworks built on LLMs.
- AI Engineering: Shipping AI: data pipelines, MLOps, deployment, monitoring.
- AI Research: Reading, reproducing and following research.
- AI Safety & Evaluation: Alignment basics, benchmarks, evals and robustness.