34 Full-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.

This is an introductory-level course of Machine Learning. The aim of this course is to provide an overview of the main machine learning methods and their application to geophysical, geochemical, geological and environmental data.

The "Self-driving Cars" course covers autonomous driving concepts using Autoware Mini from the University of Tartu Autonomous Driving Lab. Students will implement core autonomy stack components in Python and test their software in a virtual Tartu simulation. The course ends with a demo ride in a self-driving Lexus.

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.

The Computer Vision and Image Processing course offered by Luleå University of Technology describes different frameworks and programming libraries focused on applications. The course introduces the mathematical aspects and the background to the methods which are then applied in practice in different projects.

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge and computer programming. London School of Economics and Political Science offers the Introduction to Data Science and Machine Learning programme.

The Deep Learning Methods for Medical Image Analysis hands-on course by KTH Royal Institute of Technology will provide you with a general introduction of supervised learning and its applications in medical image analysis.

Weekly seminars will be delivered by high-profile academics, experts from industry and other stakeholders in machine learning technology. University College London (UCL) offers the Integrated Machine Learning Systems - Emerging Topics programme.

Energy Data Analytics and Forecasting course offered at the Lucerne University of Applied Sciences and Arts considers how machine learning can be used to help solve the energy forecasting problem. 

University College London (UCL)'s Applied Machine Learning Systems - an Introduction practical short course provides and introduction to the basic principles of machine learning systems engineering.

From chatbots, personalised recommendations on social media, traffic predictions and virtual personal assistants including Siri and Alexa, advances in machine learning are becoming an integral tool that help individuals navigate the modern world. London School of Economics and Political Science offers the Machine Learning in Practice programme.

This Data Science and Machine Learning - The Fundamentals at the University of Warwick addresses fundamental aspects of Data Science and Machine Learning, e.g., analytical models to represent and understand the data, efficient algorithms to manipulate and extract relevant knowledge, and corresponding models to understand their overall performance and limitations.

The Mathematics for Machine Learning course from UCL Summer School seeks to offer you a grounding in the language of modern machine learning, with a focus on topics in linear algebra, differential calculus, probability and statistics.

University College London (UCL) offers the Applied Machine Learning Systems - Advanced Principles and Practice programme.

In the Designing Efficient Deep Learning Systems course offered by Massachusetts Institute of Technology (MIT), you’ll receive a high-level overview of deep learning, discuss various hardware platforms and architectures that support deep learning, and explore key trends in recent efficient processing techniques that reduce the cost of computation for deep learning.

Do you want to go deeper to machine learning? Join this Machine Learning Theory and Application certificate delivered by Peter the Great St. Petersburg Polytechnic University (SPbPU).

The Imaging and Machine Learning in Manufacturing, Medicine, and More course offered by Massachusetts Institute of Technology (MIT) helps acquire the skills and knowledge you need to build a complete imaging system for their enterprise.

Deep learning is a subset of machine learning, where artificial neural networks - algorithms inspired by the human brain - learn from large amounts of data. University College London (UCL) offers the Deep Learning for Natural Language Processing programme.

In the Bioprocess Data Analytics and Machine Learning course offered by Massachusetts Institute of Technology (MIT), three-day course, designed specifically for scientists and engineers in the biopharma industry, you’ll explore best practices for translating biopharmaceutical manufacturing data into reliable models and better decisions.

In the Advanced Reinforcement Learning course offered by Massachusetts Institute of Technology (MIT), you will explore the cutting-edge of RL research, and enhance your ability to identify the correct approach for applying advanced frameworks to pressing industry challenges.