LEARNING RESOURCES
AI & Machine Learning
Start with the foundations, then build models, explore generative AI and study responsible practice. Browse 18 selected links, organized into 4 groups.
Foundations & guided courses
4 resources- Google Machine Learning Crash CourseInteractive introduction to core machine-learning concepts.developers.google.com
- Elements of AIFree introductory courses on the ideas and societal impact of AI.www.elementsofai.com
- fast.ai Practical Deep LearningProject-oriented deep-learning course for learners with coding experience.course.fast.ai
- Stanford CS229Lecture material and assignments for a rigorous machine-learning course.cs229.stanford.edu
Build and experiment
4 resources- Kaggle LearnShort hands-on lessons in machine learning, data and programming.www.kaggle.com
- Hugging Face LearnCourses and guides for transformers, datasets and modern AI tooling.huggingface.co
- Google ColabHosted notebooks for experimenting with Python and machine learning.colab.research.google.com
- scikit-learn TutorialsPractical examples using the Python machine-learning library.scikit-learn.org
Deep learning & generative AI
4 resources- DeepLearning.AI Short CoursesFocused learning modules on generative AI and applied machine learning.www.deeplearning.ai
- PyTorch TutorialsOfficial tutorials for building and training deep-learning models.pytorch.org
- TensorFlow TutorialsOfficial notebook-based tutorials for TensorFlow.www.tensorflow.org
- OpenAI CookbookExamples and practical patterns for working with model APIs.cookbook.openai.com
Research, ethics & evaluation
6 resources- arXiv Computer Vision and Pattern RecognitionRecent research papers in computer vision.arxiv.org
- Papers with CodeResearch papers connected to benchmark results and implementations.paperswithcode.com
- NIST AI Risk Management FrameworkGuidance for identifying and managing AI system risks.www.nist.gov
- Stanford AI IndexAnnual research and reporting on AI development and adoption.aiindex.stanford.edu
- Google Responsible AI PracticesPrinciples and practices for responsible AI development.ai.google
- OECD AI PrinciplesInternational policy principles for trustworthy AI.oecd.ai
About these links
These are independent external resources, not courses hosted by Indipoint Tools. Availability, content, cost and account requirements can change. Check the publisher's page and terms before using a resource.