TSL — AI & Machine Learning Track
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Foundations
The Map of the Field
Preview
The Mathematics You Actually Need
Python and the Data Toolkit
3 lessons
Working With Data
Data Quality and Preparation
Feature Engineering
Evaluation and Validation
3 lessons
Classical Machine Learning
Linear Models and Why They Endure
Trees, Forests and Boosting
Unsupervised Methods and Dimensionality
3 lessons
Deep Learning
Neural Networks from the Ground Up
Convolutional and Sequence Models
Training at Scale and Experiment Tracking
3 lessons
Language Models and Generative AI
How Large Language Models Work
Prompting, Retrieval and Tool Use
Fine-Tuning and When Not To
3 lessons
Production and Responsibility
From Notebook to Service
Monitoring Models in the Wild
Responsible AI and the Career Ahead
3 lessons
Classical Machine Learning
Linear Models and Why They Endure
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