71 Short courses in Computer Science & IT in Saudi Arabia

Modern supervised machine learning models are trained using enormous amounts of data, and for this distributed computing systems are used. The Gradient Compression for Distributed Training of Machine Learning Models (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

This LLM Injection Cyber Resilient Assistants (Internship) project from King Abdullah University of Science and Technology (KAUST) develops LLM injection-resilient cyber assistants that combine safety and adaptability.

The Efficient Power Amplifier Design at 140 GHz (Internship) project from King Abdullah University of Science and Technology (KAUST) involves designing a high-efficiency power amplifier (PA) operating at 140 GHz for sub-THz communications using advanced SiGe technology. 

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.

The Statistical Methods for Generative Modeling (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to explore generative models based on Generative Adversarial Networks (GANs) and Normalizing Flows (NFs).

This Mathematics of Generative AI for Protein Design (Internship) project from King Abdullah University of Science and Technology (KAUST) will build on existing tools (such as RFDiffusion) to generate nanobody (mini-antibody)  proteins, that recognize biomarkers or pathogens. 

This LLM-based Assistant for L-x Security Operation Center (SOC) Analyst (Internship) project from King Abdullah University of Science and Technology (KAUST) explores the feasibility and capabilities of using LLMs for detection and for different analysts' assistant levels.

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.

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).

The Dexterous Robot Manipulation using Physics Engine (Internship) project from King Abdullah University of Science and Technology (KAUST) explores the idea of building computational models based on physics engines and design feedback algorithms to autotune parameters of the model whenever the robot detects the discrepancy between the simulation and its experience in the physical world.

This Conversation 3D Visualization on the Web (Internship) project from King Abdullah University of Science and Technology (KAUST) will be to integrate these visualization systems with client-based web-based LLMs and with speech recognition, so that these conversational capabilities extend the interaction metaphors based on mouse and keyboard interactions.

The Ransomware in Industrial Control Systems (Internship) from King Abdullah University of Science and Technology (KAUST) project from will study effective defense-in-depth security strategies, ensure an understanding of network interdependencies, and conduct crown jewel analysis to identify potential weaknesses that could disrupt business continuity and production in the event of ransomwares.

This Leveraging Non-Terrestrial Platforms (Internship) project from King Abdullah University of Science and Technology (KAUST) aims at developing new approaches for the optimal leverage of the non-terrestrial network-on-demand.

This Cyber Secure and Resilient System-on-Chip using FPGA Dynamic Configuration (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to improve hardware flexibility and compatibility, i.e., making them application-agnostic, and to facilitate the daunting design verification process prior to fabrication, hence cutting off fabrication costs thereof.

The Graph Neural Networks for Science and Engineering (Internship) project is offered at King Abdullah University of Science and Technology (KAUST)

The Computational Cameras (Internship) project from King Abdullah University of Science and Technology (KAUST) will be covering about computational imaging approaches, and work in an interdisciplinary team to develop new camera systems in one of the application domains.​

The Machine Learning for Graphs (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

The Efficient Quantization of Large Language Models (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on breaking down the problem into individual layer-wise sub-problems, and minimizing per-layer error, measured via various metrics.

The Decentralized AI-Powered Security Operation Center (SOC) (Internship) project from King Abdullah University of Science and Technology (KAUST) addresses the above challenges by investigating the feasibility, strengths, and tradeoffs of introducing a Decentralized SOC (D-SOC) architecture. 

This Real-Time Power Grid Monitoring using PMU-Based Synchrophasor Communication (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on the configuration, emulation, and testing of Phasor Measurement Units (PMUs) within a Real-Time Digital Simulator (RTDS).