65 Short courses in Computer Sciences in Asia

Learn Python with Generative AI
Accelerate your Python skills with generative AI—gain hands-on experience, real-time feedback, and industry-aligned techniques with the Johns Hopkins Engineering's Learn Python with Generative AI

Introduction to Ethical Hacking
Johns Hopkins Engineering's Introduction to Ethical Hacking certificate program teaches you how to uncover vulnerabilities, threats, and potential risks before attackers do—and how to protect systems with confidence.

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.

Channel-Adaptive Machine Learning-Based mmWave Beamforming (Internship)
The Channel-Adaptive Machine Learning-Based mmWave Beamforming (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on integrating machine learning algorithms into mmWave beamforming to dynamically adapt to changing channel conditions.

Dexterous Robot Manipulation using Physics Engine (Internship)
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.

Real-Time Power Grid Monitoring using PMU-Based Synchrophasor Communication (Internship)
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).

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).

LLM Injection Cyber Resilient Assistants (Internship)
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.

Numerical Approximation of Partial Differential Equations (Internship)
This Numerical Approximation of Partial Differential Equations (Internship) project from King Abdullah University of Science and Technology (KAUST) will involve the study and analysis of the properties of the approximation of some partial differential equations.

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.

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.

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.

Trustworthy Autonomous Vehicles Architecture (Internship)
The Trustworthy Autonomous Vehicles Architecture (Internship) project from King Abdullah University of Science and Technology (KAUST) addresses is the failure of existing AV architectures to reconcile AI/ML-based stochastic decision-making with the deterministic, time-sensitive nature of driving control.

Federated Learning (Internship)
The Federated Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) enables mobile phones to collaboratively learnashared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

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).

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.

Study on Optimal Hybrid Beamforming Architecture for 6G Systems (Internship)
The Study on Optimal Hybrid Beamforming Architecture for 6G Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) covers subjects such as hybrid beamforming is crucial for future 6G networks, offering a balance between hardware complexity and energy efficiency.

Fast and Energy-efficient Photonic Integrated Circuits Powered by On-chip Lasers for Artificial Intelligence Models (Internship)
This Fast and Energy-efficient Photonic Integrated Circuits Powered by On-chip Lasers for Artificial Intelligence Models (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to further develop a volume-manufacturable, fully integrated ONN system with high bandwidth and energy efficiency.

Non-terrestrial Communication System for Aerial-based Object Recognition and Positioning (Internship)
The aim of this Non-terrestrial Communication System for Aerial-based Object Recognition and Positioning (Internship) from King Abdullah University of Science and Technology (KAUST) is to utilize civilian single-lens drones to develop a cost-effective system for detecting and tracking objects from high-altitude perspectives and establish an energy-efficient non-terrestrial communication system.

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.