KAUST AI Summer School 2024

This AI Summer School offers an intensive 6-week program designed to provide participants with a thorough understanding of the latest advancements in AI and ML. Led by AI researchers and scientists, the summer school aims to equip attendees with essential knowledge to develop impactful AI solutions and establish a solid groundwork for pioneering research.

The program features a blend of lectures, and interactive sessions, ensuring a dynamic and immersive learning experience. Upon completion, participants will work on AI projects and explore research concepts under the mentorship of experts from academia.

Week 1 - Advanced Computer Vision

	Lectures	Labs		Solutions
RNNs	Slides	Lab 1
Attention	Slides	Lab 2 Lab 3
Video Classification	Slides	Lab 4
VAEs	Slides	Lab 5
GANs	Slides	Lab 6

Week 2 - Graph Neural Networks

	Lectures	Labs		Solutions
Intro	Slides	Lab 0
GCNs	Slides	Lab 1 Lab 2 Lab 3 Lab 4
RGNNs	Slides Slides Slides	Lab 5
Point Cloud Analysis	Slides	Lab 6
Adversarial Learning	Slides Slides

Week 3 - Generative Deep Learning

	Lectures	Labs		Solutions
Intro	Slides
AutoEncoders	Slides	Lab 1
VAEs	Slides	Lab 2
GANs	Slides	Lab 3
Normalizing Flows	Slides	Lab 4
Diffusion Models	Slides	Lab 5

Week 4 - Reinforcement Learning

	Lectures	Labs		Solutions
Intro and Q Learning	Slides	Lab 1 Lab 2 Lab 3 Lab 4
Policy Gradient	Slides	Lab 5
Policy Search	Slides	Lab 6
Model Based RL	Slides

Week 5&6 - Natural Language Processing

Link to Stanford's CS224N slides

	Labs		Solutions
Sentiment Analysis	Lab 1
N-Gram Language Model	Lab 2
Gensim word vector	Lab 3
GloVe	Lab 4
Word Window Classification	Lab 5
Surname classification with RNNs	Lab 6a
Generating Names with a Character-Level RNN	Lab 6b
RNN for Sentiment Analysis	Lab 7
Translation	Lab 9a Lab 9b
Transformers	Lab 10a Lab 10b