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VibeFormer

Tracks

Three routes, one curriculum

A track is a reading order, not a paywall or a separate course. Every lesson stays open to everyone; the track decides what you see first and how much emphasis the derivations get.

Novice

Start from zero

12 modules · 369 lessons

Concept first, notation second. Every lesson opens with an intuition section and a diagram before any symbol appears, and the heavier derivations are collapsed out of your way.

Best if: New to the field, or returning after a long gap.

  1. 01Start Here5
  2. 02Linear Algebra20
  3. 03Probability28
  4. 04Statistics23
  5. 05Programming & DSA27
  6. 06Visualisation & EDA9
  7. 07ML Foundations20
  8. 08Supervised Learning25
  9. 09Unsupervised Learning26
  10. 10Deep Learning38
  11. 11NLP32
  12. 12LLMs32
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Practitioner

Ship working systems

14 modules · 512 lessons

Weighted towards code, metrics, failure modes and deployment. You get the maths you need to debug a model, plus the engineering the textbooks leave out.

Best if: Building models or LLM applications in industry.

  1. 01Start Here5
  2. 02Programming & DSA27
  3. 03Databases & DW23
  4. 04Optimisation27
  5. 05ML Foundations20
  6. 06Supervised Learning25
  7. 07Unsupervised Learning26
  8. 08Deep Learning38
  9. 09NLP32
  10. 10LLMs32
  11. 11Fine-Tuning26
  12. 12RAG28
  13. 13Time Series15
  14. 14MLOps & Ethics16
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Researcher

Derive it yourself

17 modules · 534 lessons

Full derivations, proofs, theoretical framing and the papers behind each idea. Assumes you want the ELBO derived rather than quoted.

Best if: Preparing for GATE DA, postgraduate study or research work.

  1. 01Linear Algebra20
  2. 02Calculus & Optim.17
  3. 03Probability28
  4. 04Statistics23
  5. 05Optimisation27
  6. 06Game Theory25
  7. 07Logic30
  8. 08Classical AI19
  9. 09ML Foundations20
  10. 10Supervised Learning25
  11. 11Unsupervised Learning26
  12. 12Reinforcement L.26
  13. 13Deep Learning38
  14. 14NLP32
  15. 15LLMs32
  16. 16Graph ML26
  17. 17Practice11
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