AnyoneLearnAI
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Tutorials

AI from zero to building

One ordered path — pick a topic on the left, or start at the beginning.

Start at the beginning →Jump to my levelPersona paths

Chapter A · Beginner

Everyday world

Never used AI, or just getting curious

Start →
  1. 01AI you already use8m
  2. 02What is AI?8m
  3. 2.5History of AI10m
  4. 03AI vs human smarts9m
  5. 04What AI can and can't do9m
  6. 05Machine learning in plain English9m
  7. 5.5Data fuels AI8m
  8. 06Generative AI vs older AI9m
  9. 6.5Speech Recognition9m
  10. 07Why AI makes mistakes10m
  11. 08Bias and fairness9m
  12. 8.5AI Copyright10m
  13. 09Privacy and smart sharing9m
  14. 10Your AI learning map8m

Chapter B · Getting productive

Chat kitchen

Ready to prompt better for home, school, work

Open →
  1. 01Talk to AI for the first time8m
  2. 02Good prompts have a job9m
  3. 03Add context9m
  4. 04Iterate: bad to better9m
  5. 4.5Chain-of-Thought Prompting10m
  6. 05Study helper9m
  7. 5.5AI for Research10m
  8. 5.7AI for Teachers10m
  9. 06Home and life helper9m
  10. 07Work helper9m
  11. 7.5AI for Excel10m
  12. 7.6AI for Presentations10m
  13. 7.7AI for Marketing10m
  14. 08Pictures and creative tools9m
  15. 8.2AI Video Generation10m
  16. 8.3AI Voice Generation10m
  17. 8.5Multimodal prompts9m
  18. 8.7Pick the right AI tool8m
  19. 09Spot wrong answers9m
  20. 9.2No-Code AI10m
  21. 10Your weekly AI habit8m
  22. 10.2Careers in AI10m

Chapter C · How it works

Brain lab

Want mental models: LLMs, RAG, agents

Open →
  1. 01What is an LLM?7m
  2. 02Tokens — how AI reads text6m
  3. 2.5Training vs inference8m
  4. 2.7Transformers in plain English9m
  5. 2.9Serving Large Language Models9m
  6. 03Context window suitcase6m
  7. 04Temperature — safe vs creative6m
  8. 05Embeddings — meaning as numbers7m
  9. 06Vectors & similarity search7m
  10. 07Overfitting playground6m
  11. 7.5Multimodal AI8m
  12. 08RAG — look it up, then answer8m
  13. 09Inside RAG — the pipeline8m
  14. 9.5Fine-tuning vs RAG9m
  15. 10Tools — when AI takes action7m
  16. 11Agents — think, act, repeat8m
  17. 11.5Multi-Agent Systems9m
  18. 12MCP — a standard plug for AI tools8m
  19. 13Alignment and RLHF9m
  20. 14Evals and benchmarks8m
  21. 14.5AI Monitoring9m
  22. 15Prompt injection & AI security9m
  23. 16Choosing a model9m
  24. 16.5Production AI Architecture10m

Chapter D · Builder / pro

Build garage

Want to code and ship small AI projects

Open →
  1. 01Python only what you need8m
  2. 1.5Python dictionaries9m
  3. 1.6Classes and objects10m
  4. 1.7Python virtual environments9m
  5. 02Data: tables and simple plots9m
  6. 2.5File handling9m
  7. 03Prediction: your first ML idea9m
  8. 3.5Clustering10m
  9. 3.7Decision trees10m
  10. 3.8Random forests10m
  11. 04Train a tiny model10m
  12. 4.2Loss functions10m
  13. 05Neural nets by building10m
  14. 5.5Deep learning10m
  15. 06When computers see10m
  16. 6.5Git basics10m
  17. 6.6GitHub basics10m
  18. 07Talk to an LLM from code10m
  19. 08Build a mini RAG11m
  20. 09Tools in code11m
  21. 9.5Model deployment11m
  22. 10Capstone: ship a tiny AI app12m