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 |
| 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