Chapter Index¶
Browse all available chapters in the Berta curriculum. Each chapter includes notebooks, exercises, scripts, and SVG diagrams.
Foundation Track¶
Master the essentials needed for all AI work.
-
Ch 1: Python Fundamentals for AI
8h · 3 notebooks, 6 exercises, 3 SVGs
Variables, types, control flow, OOP, file I/O, decorators -
Ch 2: Data Structures & Algorithms
6h · 3 notebooks, 5 exercises, 3 SVGs
Arrays, Big-O, searching; stacks, queues, sorting; trees, graphs, DP -
Ch 3: Linear Algebra & Calculus
10h · 3 notebooks, 5 exercises, 3 SVGs
Vectors, norms; matrices, NumPy; gradients and backpropagation -
Ch 4: Probability & Statistics
8h · 3 notebooks, 5 exercises, 3 SVGs
Probability, conditional; distributions, Bayes, CLT; hypothesis testing, A/B tests -
Ch 5: Software Design
6h · 3 notebooks, 5 exercises, 3 SVGs
Clean code, PEP 8; design patterns; project structure, testing
Practitioner Track¶
Apply your knowledge to real-world ML and AI problems.
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Ch 6: Introduction to Machine Learning
8h · 3 notebooks, 5 exercises, 3 SVGs
What is ML, first model; features, evaluation, bias-variance; churn capstone -
Ch 7: Supervised Learning
10h · 3 notebooks, 5 exercises, 3 SVGs
Regression, regularization; classification, SVM, ROC; ensembles, tuning, credit-risk
Quick Reference¶
| Chapter | Track | Time | Notebooks | Exercises | SVGs |
|---|---|---|---|---|---|
| 1: Python Fundamentals | Foundation | 8h | 3 | 6 | 3 |
| 2: Data Structures & Algorithms | Foundation | 6h | 3 | 5 | 3 |
| 3: Linear Algebra & Calculus | Foundation | 10h | 3 | 5 | 3 |
| 4: Probability & Statistics | Foundation | 8h | 3 | 5 | 3 |
| 5: Software Design | Foundation | 6h | 3 | 5 | 3 |
| 6: Intro to ML | Practitioner | 8h | 3 | 5 | 3 |
| 7: Supervised Learning | Practitioner | 10h | 3 | 5 | 3 |
Coming Soon¶
Chapters 8–25
Additional chapters are planned for the Practitioner and Advanced tracks:
- Practitioner (8–15): Unsupervised Learning, Deep Learning, NLP, LLMs, Prompt Engineering, RAG, Fine-tuning, MLOps
- Advanced (16–25): Multi-Agent Systems, Advanced RAG, Reinforcement Learning, Model Optimization, Production AI, Finance, Safety, AI Products, Research, Governance & Ethics
Request a custom chapter on any AI topic while you wait!
Created by Luigi Pascal Rondanini | Generated by Berta AI