KAUST Academy 2026 — Introduction to AI (YASREF)

Course materials, labs, and resources for the 2026 KAUST Academy YASREF AI Program.

Course Schedule

Day	Topic	Slides
Day 1	Machine Learning Foundations	Open
Day 2	Machine Learning Algorithms	Open
Day 3	Fundamentals of Deep Learning	Open
Day 4	Time Series Analysis	Open
Day 5	Unsupervised Learning & Images	Open

Labs

Day 1: Machine Learning Foundations

• Lab 1: ScikitLearn Basics
• Lab 2: EDA & Data Preprocessing
• Extra: Chemistry Linear Regression

Day 2: Machine Learning Algorithms

• Lab 1: Regression
• Lab 2: Binary Classification
• Lab 3: Multi-class Classification
• Extra: Chemistry Polynomial Regression & Regularization
• Extra: Hidden Features Logistic Regression

Day 3: Fundamentals of Deep Learning

• Lab 1: PyTorch Basics
• Lab 2: Tabular Data with PyTorch
• Extra: Solubility Neural Networks (PyTorch)
• Extra: Introduction to Neural Networks (Solubility)

Day 4: Time Series Analysis

• Lab: Gas Furnace Time Series
• Lab: Univariante Gas Furnace Time Series

Day 5: Unsupervised Learning & Images

• Lab 1: Images with PyTorch
• Lab 2: Unsupervised Learning

License

Licensed under GPL-3.0. Recording and uploading lectures online is not permitted.