LogoMap the AI
  • Daily lessons
  • AI news
  • Tracks
  • Topics
  • Your path
  • Roadmap
LogoMap the AI

AI moves fast. Don't lose the map.

The map
  • Tracks
  • Topics
  • Your path
  • Roadmap
Company
  • About
  • Contact
Legal
  • Cookie Policy
  • Privacy Policy
  • Terms of Service
© 2026 Map the AI. Operated by NeatSeed LLC. All Rights Reserved.

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
Intermediate
Articles
121
Reading time
157h
Weeks
63

That is 63 weeks at 3h per week. Raising your hours spreads the same material over less time — or drop to a lower target level to study fewer articles.

  1. Week 1

    2h
    1. 1
      ML Foundations1h
    2. 2
      ML Foundations1h

  2. Week 2

    2.3h
    1. 3
      ML Foundations1.25h
    2. 4
      ML Foundations1h

  3. Week 3

    3h
    1. 5
      ML Foundations1h
    2. 6
      ML Foundations1h
    3. 7
      ML Foundations1h

  4. Week 4

    2.6h
    1. 8
      ML Foundations1.25h
    2. 9
      ML Foundations1.25h

  5. Week 5

    3h
    1. 10
      ML Foundations1h
    2. 11
      ML Foundations1h
    3. 12
      ML Foundations1h

  6. Week 6

    2.8h
    1. 13
      Foundations1h
    2. 14
      Classic NLP0.75h
    3. 15
      Classic NLP1h

  7. Week 7

    2.8h
    1. 16
      Foundations1.5h
    2. 17
      Classic NLP1.25h

  8. Week 8

    2.6h
    1. 18
      Classic NLP1.25h
    2. 19
      Classic NLP1.25h

  9. Week 9

    2.6h
    1. 20
      Classic NLP1.25h
    2. 21
      Classic NLP1.25h

  10. Week 10

    2.3h
    1. 22
      Foundations1.25h
    2. 23
      Foundations1h

  11. Week 11

    2.3h
    1. 24
      Foundations1.25hVisual explainer
    2. 25
      Foundations1h

  12. Week 12

    2.8h
    1. 26
      Foundations1h
    2. 27
      Foundations1h
    3. 28
      Foundations0.75h

  13. Week 13

    2h
    1. 29
      Foundations1hVisual explainer
    2. 30
      Foundations1h

  14. Week 14

    2.5h
    1. 31
      Foundations1.5h
    2. 32
      Foundations1h

  15. Week 15

    3h
    1. 33
      Internals1h
    2. 34
      Internals2hVisual explainer

  16. Week 16

    2.5h
    1. 35
      Internals2.5hVisual explainer

  17. Week 17

    2.3h
    1. 36
      Internals1.25h
    2. 37
      Internals1h

  18. Week 18

    2h
    1. 38
      Internals1h
    2. 39
      Internals1h

  19. Week 19

    3h
    1. 40
      Internals3hVisual explainer

  20. Week 20

    2.6h
    1. 41
      Classic NLP1.25h
    2. 42
      Prompting1.25h

  21. Week 21

    2.8h
    1. 43
      Prompting1.25h
    2. 44
      Prompting1.5hVisual explainer

  22. Week 22

    3h
    1. 45
      Prompting1h
    2. 46
      Prompting1h
    3. 47
      Prompting1h

  23. Week 23

    2.3h
    1. 48
      Prompting1.25h
    2. 49
      Prompting1h

  24. Week 24

    2.1h
    1. 50
      Prompting1.25h
    2. 51
      Prompting0.75h

  25. Week 25

    3h
    1. 52
      RAG1h
    2. 53
      RAG2hVisual explainer

  26. Week 26

    3h
    1. 54
      RAG1.5h
    2. 55
      RAG1.5h

  27. Week 27

    2.6h
    1. 56
      RAG1.25h
    2. 57
      RAG1.25h

  28. Week 28

    2.8h
    1. 58
      RAG1.5hVisual explainer
    2. 59
      Agents1.25h

  29. Week 29

    2h
    1. 60
      Agents2hVisual explainer

  30. Week 30

    2h
    1. 61
      Agents2hVisual explainer

  31. Week 31

    2.8h
    1. 62
      Agents1.25h
    2. 63
      Agents1.5h

  32. Week 32

    2.8h
    1. 64
      Agents1.5h
    2. 65
      Agents1.25h

  33. Week 33

    2.8h
    1. 66
      Agents1.5h
    2. 67
      Agents1.25h

  34. Week 34

    3h
    1. 68
      Application1.5h
    2. 69
      Application1.5h

  35. Week 35

    1.8h
    1. 70
      Application1.75h

  36. Week 36

    2.6h
    1. 71
      Application1.25h
    2. 72
      Application1.25h

  37. Week 37

    3h
    1. 73
      Application1h
    2. 74
      Evaluation1h
    3. 75
      Evaluation1h

  38. Week 38

    2.8h
    1. 76
      Evaluation1h
    2. 77
      Evaluation0.75h
    3. 78
      Evaluation1h

  39. Week 39

    2.3h
    1. 79
      Evaluation1h
    2. 80
      Evaluation1.25h

  40. Week 40

    2h
    1. 81
      Evaluation1h
    2. 82
      Evaluation1h

  41. Week 41

    2h
    1. 83
      Multimodal2hVisual explainer

  42. Week 42

    2h
    1. 84
      Multimodal2hVisual explainer

  43. Week 43

    3h
    1. 85
      Multimodal1.5h
    2. 86
      Multimodal1.5h

  44. Week 44

    3h
    1. 87
      Multimodal1.5h
    2. 88
      Multimodal1.5h

  45. Week 45

    3h
    1. 89
      Training and Adaptation1.5h
    2. 90
      Training and Adaptation1.5h

  46. Week 46

    2.3h
    1. 91
      Training and Adaptation1.25h
    2. 92
      Evaluation1h

  47. Week 47

    1.3h
    1. 93
      Training and Adaptation1.25h

  48. Week 48

    1.8h
    1. 94
      Training and Adaptation1.75h

  49. Week 49

    2.8h
    1. 95
      Training and Adaptation1.5h
    2. 96
      Training and Adaptation1.25h

  50. Week 50

    2.8h
    1. 97
      Advanced RAG1.5h
    2. 98
      Advanced RAG1.25h

  51. Week 51

    3h
    1. 99
      Advanced RAG1.5hVisual explainer
    2. 100
      Advanced RAG1.5h

  52. Week 52

    3h
    1. 101
      Advanced RAG1.5hVisual explainer
    2. 102
      Advanced RAG1.5h

  53. Week 53

    3h
    1. 103
      Advanced Agents1.5h
    2. 104
      Advanced Agents1.5h

  54. Week 54

    3h
    1. 105
      Advanced Agents1.5h
    2. 106
      Advanced Agents1.5h

  55. Week 55

    1.3h
    1. 107
      Advanced Agents1.25h

  56. Week 56

    1.8h
    1. 108
      Advanced Agents1.75h

  57. Week 57

    3h
    1. 109
      Security1.5h
    2. 110
      Security1.5h

  58. Week 58

    2.8h
    1. 111
      Security1.5h
    2. 112
      Security1.25h

  59. Week 59

    2.8h
    1. 113
      Security1.5h
    2. 114
      Production1.25h

  60. Week 60

    2.8h
    1. 115
      Production1.5h
    2. 116
      Production1.25h

  61. Week 61

    2.3h
    1. 117
      Production1h
    2. 118
      Production1.25h

  62. Week 62

    2.3h
    1. 119
      Evaluation1h
    2. 120
      Production1.25h

  63. Week 63

    1.5h
    1. 121
      Production1.5h
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?
Classic Text Preprocessing
Bag of Words and N-grams
What Is an Embedding?
word2vec: Where Word Vectors Began
Recurrent Neural Networks
LSTM and GRU: Memory That Lasts
Sequence to Sequence and Encoder-Decoder
The Origin of Attention
Where Does the Vocabulary Come From?
What Is an LLM?
How Does an LLM Actually Write?
Base Models vs Chat Models
The Language Modeling Objective
Logits and Softmax
Perplexity: A Language Model's Intrinsic Measure
Temperature and Top-p, Explained
Training vs Inference
What Happens During Pretraining?
What Does "7B Parameters" Mean?
Decoding Strategies: Greedy Search and Beam Search
The Geometry of Meaning
How Does a Transformer Work?
Encoder, Decoder, and Encoder-Decoder Architectures
The Feed-Forward Network in a Transformer
Normalization Layers: LayerNorm and RMSNorm
The Output Projection: From Hidden State to Vocabulary Logits
Self-Attention, Explained Visually
Why Transformers Won
Why Do AI Models Hallucinate?
Prompt Basics
Making a Model Think Step by Step
What Is a Context Window?
Show, Don't Tell: Few-Shot Prompting
In-Context Learning: Why Few-Shot Works
Your Prompt Isn't Working. Now What?
Prompt Patterns and Anti-Patterns
Getting JSON Out of an LLM
What Is a System Prompt?
Why RAG Exists
How RAG Works, Step by Step
How to Split Documents for RAG
RAG or Fine-Tuning?
Why You Need a Reranker
What Is a Vector Database?
How Similarity Search Actually Works
What Is an AI Agent?
How Does Tool Calling Work?
The Agent Loop
Agent Architectures: From Rules to Autonomy
How Agents Fail
Writing Good Tool Definitions
What Is MCP?
Multi-Step Planning
The ReAct Pattern
Your First LLM API Call
How Do You Know It Works?
From Demo to Production
Which Model Should You Use?
Cutting Your API Bill
Why Responses Stream
The Bias-Variance Tradeoff
Why Evaluation Is Harder Than Training
Precision, Recall, F1, and Accuracy
The Confusion Matrix: Why Accuracy Deceives
Human Evaluation and Annotation Agreement
Regression Metrics: MSE, MAE, and R²
Retrieval and Ranking Metrics
ROC and AUC: Evaluation Without a Threshold
Text Generation Metrics: BLEU, ROUGE, METEOR
How Do Models See Images?
How Image Generation Works
Multimodal Embeddings
How Speech Recognition Works
Vision-Language Models
Document and OCR Understanding
How Fine-Tuning Actually Works
LoRA and Parameter-Efficient Fine-Tuning
Reading Model Benchmarks
Benchmark Contamination and Goodhart's Law
Optimizers and Learning Rate
How Models Are Aligned
How Reasoning Models Work
Transfer Learning: Why Pretraining Reuses
Agentic RAG
Contextual Retrieval
Hybrid Search
RAG over Images and Tables
Query Rewriting and Expansion
Evaluating RAG
Evaluating Agents
Agent Memory
Coding Agents
Context Engineering
Human-in-the-Loop Design
Multi-Agent Systems
Handling PII and Sensitive Data
Prompt Injection
Jailbreaks and Guardrails
Content Moderation
Red-Teaming AI Systems
Latency Optimization
Observability for LLM Systems
Cost Monitoring and Attribution
Prompt Versioning
A/B Testing AI Features
Statistical Significance: Why One Comparison Deceives
Migrating Between Models
Reliability Patterns