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Your learning path

Pick how deep you want to go and how much time you have. Depth decides which articles; time decides only how long it takes.

Level
Beginner
Articles
34
Reading time
39.8h
Weeks
16

  1. Week 1

    2.8h
    1. 1
      Entry1h
    2. 2
      Entry1h
    3. 3
      Entry0.75h

  2. Week 2

    2.8h
    1. 4
      Entry0.75h
    2. 5
      ML Foundations1h
    3. 6
      ML Foundations1h

  3. Week 3

    2.3h
    1. 7
      ML Foundations1.25h
    2. 8
      ML Foundations1h

  4. Week 4

    3h
    1. 9
      ML Foundations1h
    2. 10
      ML Foundations1h
    3. 11
      ML Foundations1h

  5. Week 5

    2.6h
    1. 12
      ML Foundations1.25h
    2. 13
      ML Foundations1.25h

  6. Week 6

    3h
    1. 14
      ML Foundations1h
    2. 15
      ML Foundations1h
    3. 16
      ML Foundations1h

  7. Week 7

    2.5h
    1. 17
      Foundations1h
    2. 18
      Foundations1.5h

  8. Week 8

    2.3h
    1. 19
      Foundations1h
    2. 20
      Foundations1.25hVisual explainer

  9. Week 9

    2h
    1. 21
      Foundations1h
    2. 22
      Foundations1h

  10. Week 10

    2.5h
    1. 23
      Internals2.5hVisual explainer

  11. Week 11

    3h
    1. 24
      Internals3hVisual explainer

  12. Week 12

    2.6h
    1. 25
      Prompting1.25h
    2. 26
      Prompting1.25h

  13. Week 13

    2h
    1. 27
      Prompting1h
    2. 28
      Prompting1h

  14. Week 14

    2.3h
    1. 29
      Prompting1.25h
    2. 30
      Prompting1h

  15. Week 15

    1.8h
    1. 31
      Prompting0.75h
    2. 32
      RAG1h

  16. Week 16

    2.8h
    1. 33
      Application1.5h
    2. 34
      Application1.25h
The AI Jargon Decoder
In What Order Should You Learn AI?
What Is AI, and How Do People Actually Use It?
What AI Can and Cannot Do (Yet)
What Is Machine Learning?
How Data Becomes Numbers
What Is a Neural Network?
Weights and Biases
The Forward Pass
Activation Functions
Loss Functions
Gradient Descent
Backpropagation
Overfitting and Generalization
Probability for AI
Train, Validation, Test
What Is a Token in AI?
What Is an Embedding?
What Is an LLM?
How Does an LLM Actually Write?
The Language Modeling Objective
Logits and Softmax
How Does a Transformer Work?
Self-Attention, Explained Visually
Why Do AI Models Hallucinate?
Prompt Basics
What Is a Context Window?
Show, Don't Tell: Few-Shot Prompting
Your Prompt Isn't Working. Now What?
Prompt Patterns and Anti-Patterns
What Is a System Prompt?
Why RAG Exists
Your First LLM API Call
Which Model Should You Use?