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Luigi Pascal Rondanini edited this page Mar 4, 2026 · 2 revisions

πŸ€– Berta Chapters β€” Learn AI From Zero to Mastery

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.


Contents

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

Why Berta Chapters?

The best way to learn AI is by doingβ€”writing 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, remixβ€”everything 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.


🎯 Two Ways to Learn

1. The Curriculum Path β€” Guided Progression

A full journey from basics to advanced AI:

  • Foundation (Ch 1–5) β€” Python, data structures, linear algebra, probability, software design
  • Practitioner (Ch 6–15) β€” ML intro, supervised learning, deep learning, NLP, RAG, MLOps
  • Advanced (Ch 16–25+) β€” Multi-agent systems, reinforcement learning, production AI, ethics

7 chapters available now (56 hours of content). More unlock as the community grows.

2. Community-Requested Chapters β€” Learn What You Need

Need a chapter on RAG, fine-tuning, or AI for finance? Open a Chapter Request issue. Describe your topic, level, and focusβ€”Berta generates a full chapter. Free, no paywall.


πŸ›€οΈ Pick Your Learning Path

Sorted by total time (shortest first):

Path Time Who it's for Chapters
Quick Start ~48h Fast intro to AI 1β†’5β†’6β†’9β†’11β†’23
AI for Finance ~85h Finance professionals 1β†’3β†’4β†’6β†’7β†’21β†’19β†’20β†’23
LLM & NLP Expert ~90h Language models, RAG, prompting 1β†’5β†’10β†’11β†’12β†’13β†’14β†’17β†’20β†’23
ML Specialist ~100h ML theory and production 1β†’2β†’3β†’4β†’6β†’7β†’8β†’9β†’15β†’19β†’20
AI Engineer ~110h Full-stack AI apps 1β†’2β†’3β†’4β†’5β†’6β†’9β†’11β†’13β†’15β†’20

πŸš€ Get Started in 5 Minutes

git clone https://github.com/luigipascal/berta-chapters.git
cd berta-chapters
pip install -r requirements.txt
python interactive/berta.py

The 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.ipynb

πŸ“š What’s Inside Each Chapter?

Every 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.


πŸ“Š What’s Available Right Now?

Track Chapters Status
Foundation 1–5 (Python, Data Structures, Linear Algebra, Probability, Software Design) βœ… All available
Practitioner 6–7 (Intro to ML, Supervised Learning) βœ… Available
Practitioner 8–15 (Unsupervised, Deep Learning, NLP, LLMs, RAG, MLOps…) πŸ”„ Coming soon
Advanced 16–25+ πŸ“‹ Planned
Community Your requests πŸš€ Unlimited

21 notebooks, 37 exercises with solutions, 5 datasets, 21 diagrams. All open and ready to run.


πŸ’¬ Request a Chapter

Want a chapter that doesn’t exist yet?

  1. Go to New Chapter Request.
  2. Describe the topic, your level, and what you want to focus on.
  3. Berta generates a full chapter and links it in the issue.

No paywall. No signup. Free forever.


πŸ“¬ Stay Updated

New chapters are released regularly; reaching 10 newsletter subscribers unlocks weekly releases.


πŸ—ΊοΈ Quick Links

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

πŸ”¬ About Berta & Luigi

Berta AI generates every chapterβ€”consistent structure, clear pedagogy, and continuous improvement from community feedback.

Luigi Pascal Rondaniniβ€”author, publisher, Treasury Systems Consultant (35+ years in finance and AI/ML)β€”designed the curriculum to make AI education accessible, practical, and community-driven.


Created by Luigi Pascal Rondanini | Generated by Berta AI

Last updated: March 2026