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Syllabus

A visual overview of every chapter, its status, and how they connect.


Chapter Dependency Diagram

graph TD
    CH1["Ch 1: Python Fundamentals<br/>8h | Available"]
    CH2["Ch 2: Data Structures<br/>6h | Available"]
    CH3["Ch 3: Linear Algebra<br/>10h | Available"]
    CH4["Ch 4: Probability & Statistics<br/>8h | Available"]
    CH5["Ch 5: Software Design<br/>6h | Available"]

    CH6["Ch 6: Intro to ML<br/>8h | Available"]
    CH7["Ch 7: Supervised Learning<br/>10h | Available"]
    CH8["Ch 8: Unsupervised Learning<br/>8h | Coming Soon"]
    CH9["Ch 9: Deep Learning<br/>12h | Coming Soon"]
    CH10["Ch 10: NLP Basics<br/>10h | Coming Soon"]
    CH11["Ch 11: LLMs & Transformers<br/>10h | Coming Soon"]
    CH12["Ch 12: Prompt Engineering<br/>6h | Coming Soon"]
    CH13["Ch 13: RAG<br/>8h | Coming Soon"]
    CH14["Ch 14: Fine-tuning<br/>8h | Coming Soon"]
    CH15["Ch 15: MLOps<br/>8h | Coming Soon"]

    CH1 --> CH2
    CH1 --> CH3
    CH1 --> CH4
    CH2 --> CH5
    CH1 --> CH5

    CH1 --> CH6
    CH2 --> CH6
    CH3 --> CH6
    CH4 --> CH6

    CH6 --> CH7
    CH6 --> CH8
    CH3 --> CH9
    CH6 --> CH9

    CH9 --> CH10
    CH10 --> CH11
    CH11 --> CH12
    CH12 --> CH13
    CH9 --> CH14
    CH11 --> CH14
    CH6 --> CH15

    style CH1 fill:#4caf50,color:#fff
    style CH2 fill:#4caf50,color:#fff
    style CH3 fill:#4caf50,color:#fff
    style CH4 fill:#4caf50,color:#fff
    style CH5 fill:#4caf50,color:#fff
    style CH6 fill:#4caf50,color:#fff
    style CH7 fill:#4caf50,color:#fff
    style CH8 fill:#f3e5f5
    style CH9 fill:#f3e5f5
    style CH10 fill:#f3e5f5
    style CH11 fill:#f3e5f5
    style CH12 fill:#f3e5f5
    style CH13 fill:#f3e5f5
    style CH14 fill:#f3e5f5
    style CH15 fill:#f3e5f5

Legend

Color Meaning
Green Available — Full content ready (notebooks, exercises, SVGs)
Purple Coming soon — Practitioner Track (planned)
Gray Planned — Advanced Track

Status Table

# Chapter Track Hours Status
1 Python Fundamentals Foundation 8h Available
2 Data Structures & Algorithms Foundation 6h Available
3 Linear Algebra & Calculus Foundation 10h Available
4 Probability & Statistics Foundation 8h Available
5 Software Design Foundation 6h Available
6 Introduction to ML Practitioner 8h Available
7 Supervised Learning Practitioner 10h Available
8 Unsupervised Learning Practitioner 8h Coming soon
9 Deep Learning Fundamentals Practitioner 12h Coming soon
10 NLP Basics Practitioner 10h Coming soon
11 LLMs & Transformers Practitioner 10h Coming soon
12 Prompt Engineering Practitioner 6h Coming soon
13 RAG Practitioner 8h Coming soon
14 Fine-tuning & Adaptation Practitioner 8h Coming soon
15 MLOps & Deployment Practitioner 8h Coming soon
16 Multi-Agent Systems Advanced 10h Planned
17 Advanced RAG Advanced 10h Planned
18 Reinforcement Learning Advanced 12h Planned
19 Model Optimization Advanced 8h Planned
20 Production AI Systems Advanced 10h Planned
21 AI for Finance Advanced 10h Planned
22 AI Safety & Alignment Advanced 8h Planned
23 Building AI Products Advanced 8h Planned
24 Research & Cutting-Edge Advanced 8h Planned
25 AI Governance & Ethics Advanced 6h Planned

Interactive Tools

Tool Command Description
Learning Hub python interactive/berta.py Full interactive experience
Path Selector python interactive/berta.py paths Browse learning paths
Progress python interactive/berta.py status Check your progress
Quiz python interactive/berta.py quiz Test your knowledge
Chapter Info python interactive/berta.py chapter 1 Get chapter details

Created by Luigi Pascal Rondanini | Generated by Berta AI