237 Part-time Short courses in Machine Learning

There are few aspects of our digital lives that are untouched by machine learning. With this Applied Machine Learning degree at Noroff School of Technology and Digital Media, you'll teach systems to learn from data. You'll be highly qualified for jobs in AI and can start working straight after graduation.

The Professional Certificate of Competency in Vibration Analysis, Balancing, Alignment, Predictive and Precision Maintenance of Machinery from the Engineering Institute of Technology comprehensively explore vibration analysis, balancing and alignment techniques. Vibration analysis is a predictive maintenance technique covering the early diagnosis of faults in machinery.

Gain in-demand techniques in AI, Data Science, ML, and Generative AI to make AI-Powered Decisions and solve real-world business challenges with this AI and Data Science - Leveraging Responsible AI, Data and Statistics for Practical Impact programme from Massachusetts Institute of Technology (MIT).

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

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.

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 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. 

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 6-week, part-time online AI and Machine Learning for Business course at University of Southampton will introduce you to the core capabilities of Artificial Intelligence (AI) and empower you to contribute to this exciting new era in global technological development.

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.

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).

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.

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.

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.

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. This Data Engineering with AWS Nanodegree program at Udacity is ideal for those with a basic understanding of Python, SQL, and command-line interfaces. 

 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).

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. 

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.

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.

Within the No Code and Agentic AI course at Massachusetts Institute of Technology (MIT) you will learn AI and Machine Learning skills through an industry-relevant curriculum designed by MIT faculty, with in-depth modules on Generative AI, Responsible AI, and Agentic AI.