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Free, open-source, interactive AI education. Every chapter is generated by Berta AI, executable on your machine, and yours to fork and modify. No paywall. No signup. Just learning.
| Section | Description |
|---|---|
| Why Berta Chapters? | What you get and why it matters |
| Two Ways to Learn | Curriculum path vs community-requested chapters |
| Pick Your Learning Path | AI Engineer, ML Specialist, LLM Expert, and more |
| Get Started in 5 Minutes | Clone, install, run the hub |
| What's Inside Each Chapter? | Notebooks, scripts, exercises, structure |
| What's Available Right Now? | Current chapters and status |
| Request a Chapter | Ask Berta to generate a topic |
| Stay Updated | Newsletter, GitHub, discussions |
| Quick Links | Curriculum, guides, roadmap |
| About Berta & Luigi | Who's behind the project |
The best way to learn AI is by doingβwriting code, running notebooks, and building real intuition. Berta Chapters gives you:
| What you get | Why it matters |
|---|---|
| Structured curriculum | Python β ML β Deep Learning β LLMs in a clear order |
| Executable chapters | Jupyter notebooks, scripts, and exercises in every chapter |
| Learning paths | Choose "AI Engineer," "ML Specialist," "LLM Expert," or "Quick Start" |
| Community-driven topics | Request any AI chapter; Berta generates it for you |
| 100% open | Clone, fork, remixβeverything lives on GitHub |
Whether you're switching careers into AI, levelling up as a developer, or exploring LLMs and RAG, there's a path that fits.
A full journey from basics to advanced AI:
- Foundation (Ch 1β5) β Python, data structures, linear algebra, probability, software design
- Practitioner (Ch 6β15) β ML intro, supervised learning, deep learning, NLP, RAG, MLOps
- Advanced (Ch 16β25+) β Multi-agent systems, reinforcement learning, production AI, ethics
7 chapters available now (56 hours of content). More unlock as the community grows.
Need a chapter on RAG, fine-tuning, or AI for finance? Open a Chapter Request issue. Describe your topic, level, and focusβBerta generates a full chapter. Free, no paywall.
Sorted by total time (shortest first):
| Path | Time | Who it's for | Chapters |
|---|---|---|---|
| Quick Start | ~48h | Fast intro to AI | 1β5β6β9β11β23 |
| AI for Finance | ~85h | Finance professionals | 1β3β4β6β7β21β19β20β23 |
| LLM & NLP Expert | ~90h | Language models, RAG, prompting | 1β5β10β11β12β13β14β17β20β23 |
| ML Specialist | ~100h | ML theory and production | 1β2β3β4β6β7β8β9β15β19β20 |
| AI Engineer | ~110h | Full-stack AI apps | 1β2β3β4β5β6β9β11β13β15β20 |
git clone https://github.com/luigipascal/berta-chapters.git
cd berta-chapters
pip install -r requirements.txt
python interactive/berta.pyThe interactive hub lets you:
- Choose a learning path
- Take a short skill assessment
- Track progress and hours
- Run knowledge quizzes
- Browse every chapter
Then open your first notebook:
cd chapters/chapter-01-python-fundamentals
jupyter notebook notebooks/01_introduction.ipynbEvery chapter follows the same structure:
- README.md β Objectives, prerequisites, time estimate
- Notebooks β Intro β Intermediate β Advanced
- Scripts β Production-style Python you can reuse
- Exercises β With solutions
- Diagrams β Mermaid and SVG
- Datasets β Sample data for practice
- requirements.txt β Dependencies
Same format everywhere. Learn once, then move fast.
| Track | Chapters | Status |
|---|---|---|
| Foundation | 1β5 (Python, Data Structures, Linear Algebra, Probability, Software Design) | β All available |
| Practitioner | 6β7 (Intro to ML, Supervised Learning) | β Available |
| Practitioner | 8β15 (Unsupervised, Deep Learning, NLP, LLMs, RAG, MLOpsβ¦) | π Coming soon |
| Advanced | 16β25+ | π Planned |
| Community | Your requests | π Unlimited |
21 notebooks, 37 exercises with solutions, 5 datasets, 21 diagrams. All open and ready to run.
Want a chapter that doesnβt exist yet?
- Go to New Chapter Request.
- Describe the topic, your level, and what you want to focus on.
- Berta generates a full chapter and links it in the issue.
No paywall. No signup. Free forever.
- Newsletter β Subscribe for new chapter alerts (at most one email per week).
- GitHub β Star or Watch the repo.
- Discussions β Join the community.
New chapters are released regularly; reaching 10 newsletter subscribers unlocks weekly releases.
Sorted alphabetically by action:
| I want to⦠| Link |
|---|---|
| Browse the docs site | chapters.berta.one |
| Contribute | CONTRIBUTING.md |
| Get step-by-step setup | GETTING_STARTED.md |
| Request a chapter | CHAPTER_REQUEST_GUIDE.md |
| See the full curriculum | CURRICULUM.md |
| See a visual syllabus | SYLLABUS.md |
| See what's next | ROADMAP.md |
Berta AI generates every chapterβconsistent structure, clear pedagogy, and continuous improvement from community feedback.
Luigi Pascal Rondaniniβauthor, publisher, Treasury Systems Consultant (35+ years in finance and AI/ML)βdesigned the curriculum to make AI education accessible, practical, and community-driven.
Created by Luigi Pascal Rondanini | Generated by Berta AI
Last updated: March 2026