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61 Short courses in Computer Sciences in Saudi Arabia

Towards a Principled Understanding of Deep Learning (Internship)
The Towards a Principled Understanding of Deep Learning (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

Causal and Fair Machine Learning (Internship)
In this Causal and Fair Machine Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) students will focus on how to make the current machine learning algorithms be fair.

Computer Graphics, Computer Vision, and Visualization (Internship)
The Computer Graphics, Computer Vision, and Visualization (Internship) project from King Abdullah University of Science and Technology (KAUST) is in the area of graphics, vision, or visualization. The exact topic is determined in discussion with the student to obtain a good fit with the student’s interest and background.

Next Generation Continual Learning (Internship)
Could you imagine the amount of real-world applications that could be developed if we extended this human ability to modern-day AI systems (especially deep neural networks)? Learn more with the Next Generation Continual Learning (Internship) project at King Abdullah University of Science and Technology (KAUST).

Learning Generative Causal Models from Sparse Temporal Observations during Cellular Reprogramming (Internship)
This Learning Generative Causal Models from Sparse Temporal Observations during Cellular Reprogramming (Internship) project from King Abdullah University of Science and Technology (KAUST) covers how recent work on stem cells and different mature specialized cells in different systems/organs (neurons, blood cells,) has revealed a stunning plasticity and capacity of reprogramming cells.

Robust or Differentially Private Machine Learning (Internship)
This Robust or Differentially Private Machine Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) mainly focuses on how to design robust (especially robust against to outliers or heavy-tailed distributions) or private (or forgettable) algorithms for some fundamental problems in machine learning, deep learning or statistics.

Machine Learning and Dynamical Systems (Internship)
Students of the Machine Learning and Dynamical Systems (Internship) project at King Abdullah University of Science and Technology (KAUST) will work on machine learning techniques applied to the study of dynamical systems.

Imagination Inspired Vision (Internship)
The goal of this Imagination Inspired Vision (Internship) project at King Abdullah University of Science and Technology (KAUST) is to focus on developing techniques that empower AI machines to see the world (computer vision) or to create novel products (e.g., fashion and art), hence the name Imagination Inspired Vision.

Pollux - Autoregressive Video Generation as a World Model (Internship)
The Pollux - Autoregressive Video Generation as a World Model (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to build a video generation model with three key advancements.

Fine-Tuning of Foundation Models via Low-Rank Adaptation and Beyond (Internship)
This Fine-Tuning of Foundation Models via Low-Rank Adaptation and Beyond (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

Resilient Models for Attacks Detection in Cyber-Physical Systems (Internship)
The goal of this Resilient Models for Attacks Detection in Cyber-Physical Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) is developing methods to merge Machine Learning (ML) with physics-based models to create control algorithms can significantly enhance the resiliency of Cyber-Physical Systems (CPS).

Optimal Strategies for Resource-task Network Problems (Internship)
The goal of the Optimal Strategies for Resource-task Network Problems (Internship) project from King Abdullah University of Science and Technology (KAUST) is to transform a set of initial resources over time into more useful objects or resources, through the scheduling of tasks, which may involve resource extraction or manufacturing (often referred to as “crafting” in the game context.

Classification of long non-coding RNAs (Internship)
The Classification of long non-coding RNAs (Internship) project from King Abdullah University of Science and Technology (KAUST) is to apply and further improve the string kernel algorithms developed in Prof. Gao’s group to the lncRNA classification problem.

Extension of the High-Order Entropy-stable Discontinuous Galerkin Solver to Non-Equilibrium Flows (Internship)
This Extension of the High-Order Entropy-stable Discontinuous Galerkin Solver to Non-Equilibrium Flows (Internship) project from King Abdullah University of Science and Technology (KAUST) teaches you about hypersonic flows encountered during atmospheric re-entry and high-speed aerospace operations demand robust CFD techniques.

Continual Learning (Internship)
The goal of the Continual Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) is to develop and improve the capability of the machine learning methods not to forget older concepts as time passes.

Dynamic Malware Analysis using LLMs (Internship)
The Dynamic Malware Analysis using LLMs (Internship) project from King Abdullah University of Science and Technology (KAUST) covers the increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample.

Deep Learning and Machine Intelligence for Single Cell Genomics (Internship)
This Deep Learning and Machine Intelligence for Single Cell Genomics (Internship) project from King Abdullah University of Science and Technology (KAUST) covers subjects such as single cell biology and genomics in particular are currently transforming the biosciences.

Protein Design Based on AlphaFold2 (Internship)
This Protein Design Based on AlphaFold2 (Internship) project from King Abdullah University of Science and Technology (KAUST) is designed to leverage the power of AlphaFold2 to target the protein design problem through developing AI methods.

Inverse Problems in Imaging (Internship)
The Inverse Problems in Imaging (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to teach students about inverse problems, and critical techniques for solving them, including convex and non-convex optimization, sparse coding, and compressive sensing.

Learning to Cooperate in Multi-robot Task Allocation (Internship)
This Learning to Cooperate in Multi-robot Task Allocation (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to implement these models on a multi-robot platform and validate the effectiveness of the models through lab experiments.