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AI Engineering Foundations

The shortest path from software engineer to AI engineer.

A pragmatic crash course: Python for ML, NumPy, vectors, gradients, evaluation. The math you need (and only that). Built for engineers who want to stop nodding and start shipping.

Start pathCertify on CertQuests

7h

Duration

10

Lessons

8.3k

Learners

Path map

Lessons unlock as you complete the previous one. Your progress is saved on this device.

  1. Lesson 1

    Python for ML in 30 minutes

    10m35 XP

  2. Lesson 2

    Vectors and dot products — the intuition

    10m40 XP

  3. Lesson 3

    Matrices and matrix multiplication

    10m40 XP

  4. Lesson 4

    Probability for ML, briefly

    9m35 XP

  5. Lesson 5

    Gradient descent — how models actually learn

    11m45 XP

  6. Lesson 6

    Train / val / test — how to not fool yourself

    9m35 XP

  7. Lesson 7

    Loss functions — picking the right one

    9m35 XP

  8. Lesson 8

    Overfitting and regularization

    9m35 XP

  9. Lesson 9

    Build a tiny neural net from scratch

    14m60 XP

  10. Lesson 10

    Capstone — diagnose a training run

    12m60 XP