Berta Chapters¶
Learn AI from fundamentals to mastery through interactive, executable chapters.
Free. Open-source. Community-driven. Generated by Berta AI.
15
Chapters
45
Notebooks
46
Diagrams
124h
Content
57
Exercises
$0
Forever
Available Chapters¶
Foundation Track — Complete¶
| # | Chapter | Hours | Includes |
|---|---|---|---|
| 1 | Python Fundamentals for AI | 8 hours | 3 notebooks, 5 exercises, 4 diagrams |
| 2 | Data Structures & Algorithms | 6 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 3 | Linear Algebra & Calculus for Machine Learning | 10 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 4 | Probability & Statistics for Machine Learning | 8 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 5 | Software Design & Best Practices for AI/ML | 6 hours | 3 notebooks, 5 exercises, 3 diagrams |
Practitioner Track — In Progress¶
| # | Chapter | Hours | Includes |
|---|---|---|---|
| 6 | Introduction to Machine Learning | 8 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 7 | Supervised Learning - Regression & Classification | 10 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 8 | Unsupervised Learning | 8 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 9 | Deep Learning Fundamentals | 12 hours | 3 notebooks, 5 exercises, 3 diagrams |
| 10 | Natural Language Processing Basics | 8–10 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 11 | Large Language Models & Transformers | 10 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 12 | Prompt Engineering & In-Context Learning | 6 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 13 | Retrieval-Augmented Generation (RAG) | 8 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 14 | Fine-tuning & Adaptation Techniques | 8 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 15 | MLOps & Model Deployment | 8 hours | 3 notebooks, 2 exercises, 3 diagrams |
| 16–25 | Coming soon | View roadmap |
Online Playground¶
Practice Python directly in your browser. No installation required. Errors are explained in plain English.
57 pre-built exercises covering Chapters 1–15. Load one and start coding.
How This Works¶
graph LR
A["Foundation<br/>Chapters 1-5"] --> B["Practitioner<br/>Chapters 6-15"]
B --> C["Advanced<br/>Chapters 16-25"]
D["Your Request"] --> E["Berta Generates"]
E --> F["New Chapter"]
style A fill:#ccddff,stroke:#336
style B fill:#eeccff,stroke:#639
style C fill:#ccffcc,stroke:#363
style D fill:#ffeecc,stroke:#963
style F fill:#ffccdd,stroke:#936Two streams of content:
- Curriculum Path — 25 structured chapters from Python to advanced AI
- Community Chapters — Custom chapters on any AI topic, requested by you
Newsletter¶
Get notified when new chapters are published.
No spam. At most one email per week. Unsubscribe anytime.
Links¶
| Berta AI | Official Berta platform |
| LLM Cost Optimizer | Cut LLM API costs 80–95% |
| Rondanini Publishing | Independent literary publisher |
| Luigi Pascal Rondanini | Author and creator |
| All Sites | Full directory |
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Created by Luigi Pascal Rondanini | Generated by Berta AI