25 Short courses in Machine Learning in Asia

Theoretical Foundations of Machine Learning
In his three-course Johns Hopkins Engineering's Theoretical Foundations of Machine Learning Dr. Erhan Guven guides you through the full machine learning workflow: from how to clean and prepare data all the way to building deep learning neural networks.

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.

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.

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

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.

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.

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).

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.

Accelerated Simulation of Reactive Flows Using Deep Neural Networks (Internship)
The Accelerated Simulation of Reactive Flows Using Deep Neural Networks (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to develop an algorithm for accelerated computations by developing high fidelity reduced-order data-based chemical kinetics solver using autoencoder and neural network algorithm.

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.

Safety-Guaranteed Planning and Control for Autonomous Underwater Robots (Internship)
The Safety-Guaranteed Planning and Control for Autonomous Underwater Robots (Internship) project from King Abdullah University of Science and Technology (KAUST) explore learning-based planning/control approaches that combine optimization-based design and data-driven machine learning methods.

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.

Scaling Graph Neural Networks to 1000s of GPUs (Internship)
This Scaling Graph Neural Networks to 1000s of GPUs (Internship) project from King Abdullah University of Science and Technology (KAUST) is to scale GNN training to thousands of GPUs. We will target our new supercomputer, Shaheen III, which is projected to include 2800 Nvidia Hopper super-chips than combine a CPU with a H100 GPU.

Foundations of Private and Fair Statistics (Internship)
The Foundations of Private and Fair Statistics (Internship) project at King Abdullah University of Science and Technology (KAUST) will explore basic statistical model or problems for different types of data in the differential privacy or fairness model.

Deep Learning for Visual Computing (Computer Vision, Computer Graphics, Remote Sensing, Vision and Language) (Internship)
The Deep Learning for Visual Computing (Computer Vision, Computer Graphics, Remote Sensing, Vision and Language) (Internship) project from King Abdullah University of Science and Technology (KAUST) covers many topics but exact topic depends on the student's interest, background, and current research topics in the group.

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).

Statistical Methods for Generative Modeling (Internship)
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).
Hands-on Machine Learning with Python, TensorFlow and Keras
In the Hands-on Machine Learning with Python, TensorFlow and Keras course offered by Hokkaido University, TensorFlow and Keras, simple machine learning models and analyses will be developed that can be run on a lap-top computer without a GPU.
Image Processing and Computer Vision with Industrial Applications
The aims of the Image Processing and Computer Vision with Industrial Applications course offered by University Teknologi PETRONAS are to equip with knowledge of important techniques and how to apply them in the industry.
Machine Learning (Python)
Through this Machine Learning (Python) course at Singapore Management University, graduates will develop the relevant skillsets to build data-driven Machine Learning/AI applications and cognitive products using Python.