Useful AI Learning Links
Useful AI Learning Links
Section titled โUseful AI Learning LinksโThis page is a curated reference list, organized by learning goal instead of by vendor.
Start Here
Section titled โStart HereโIf you are new to the topic, use this order:
Core Documentation
Section titled โCore DocumentationโThese are the most useful primary documentation sources when you want official technical references:
- Python documentation
- PyTorch documentation
- TensorFlow documentation
- scikit-learn documentation
- Hugging Face documentation
- OpenAI docs
- Google AI for Developers
- Anthropic docs
Hands-On Learning Platforms
Section titled โHands-On Learning PlatformsโUse these when you want guided practice rather than only theory:
Machine Learning Foundations
Section titled โMachine Learning FoundationsโUse these when your goal is classical ML, evaluation, and data pipelines:
LLM and Agent Building
Section titled โLLM and Agent BuildingโUse these when you are building modern text, search, or tool-using systems:
Internal Reading Paths on This Site
Section titled โInternal Reading Paths on This SiteโConcepts
Section titled โConceptsโPlatforms
Section titled โPlatformsโImplementation
Section titled โImplementationโ- API Tokens and Access Guides
- Python AI and ML Packages
- Connect to OpenAI from Python
- Connect to Gemini from Python
How To Use This List
Section titled โHow To Use This Listโ- Use official documentation when you need precise APIs or platform rules.
- Use courses when you need structured progression.
- Use internal guides on this site when you want a quicker orientation and curated context.
If you want grouped internal links instead of external resources, use the AI Hubs.