Sensei's resource curator collected a starter map of free AI education sources from major AI/tooling ecosystems. The useful pattern is not to hoard links; it is to attach each platform to a curriculum phase where it can reinforce practice.
| Platform | Focus | Best Use |
|---|---|---|
| Anthropic Academy | Claude, prompt engineering, AI safety | Responsible LLM usage |
| Google AI | ML fundamentals, TensorFlow, AI tools | Broad AI/ML foundations |
| Meta AI | PyTorch, computer vision, NLP, papers | Deep learning frameworks and research |
| NVIDIA Developer | CUDA, GPU acceleration, optimization | High-performance model work |
| Microsoft Learn | Azure AI, ML.NET, cognitive services | Enterprise AI workflows |
| OpenAI Academy | GPT models, APIs, prompt engineering | Building LLM applications |
| IBM SkillsBuild | AI fundamentals, Watson, data science | Enterprise AI basics |
| AWS Skill Builder | SageMaker and cloud ML services | Cloud-native ML deployment |
| DeepLearning.AI | Structured ML/deep learning courses | Guided learning paths |
| Hugging Face Learn | Transformers, NLP, deployment | Modern open-source model practice |
This is a summarized resource digest. The private automation notes, delivery channels, and local profile paths from the original curator file are intentionally excluded.