Machine Learning for Life Sciences
This course is designed for experts in the field of life sciences, in basic or clinical research, in academia or industry, who wish to embark on an analysis project using the many possibilities offered by AI.
Our schools and workshops will give you a better understanding of how AI fits into your business domain and enable you to specialize in the skill set that is most relevant to you.
This course is designed for experts in the field of life sciences, in basic or clinical research, in academia or industry, who wish to embark on an analysis project using the many possibilities offered by AI.
Learn more about the legal and ethical issues applicable to artificial intelligence in this workshop based on practical, concrete examples.
Discover our next summer school for the pharmaceutical and artificial intelligence sectors! It's aimed at biochemists/biologists/chemists with programming skills and a foundation in machine learning; and AI experts manipulating biochemistry and chemistry concepts.
Master the advanced techniques of large language models (LLMs) to perfect your practical skills with this intensive program designed for professionals and students alike.
We regularly update our catalogue to make AI knowledge available and accessible!
These training courses that we provide for free will enable you to acquire the fundamentals of AI, and then to perfect your skills. Enjoy them!
Aimed mainly at professionals, as well as any learner with an interest in machine learning (ML), this MOOC will enable you to acquire basic knowledge of ML, to explain how ML works, and to practise using Python tutorials. (Online training in French)
This MOOC aims to demystify operations research (OR). OR is used in several organizational and industrial processes, in particular, those related to resource allocation, operations planning, logistics, inventory management, flows, networks, and route optimization. (Online training in French).
In this course, we will first present a review of some of the applications of machine learning and deep learning. We will then illustrate their use in financial applications through concrete examples that we see have sparked interest in the industry.
How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.
Discover how even computer algorithms may be biased and have a serious impact on our everyday lives. In this MOOC, based on an IVADO School involving various international experts in the field, you will learn how to identify and alleviate bias and discrimination in artificial intelligence.
Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila, and Université de Montréal: an extensive overview of the essentials of deep learning.
What are the ethical issues raised by the emergence of artificial intelligence systems? This introductory course offers a rich and diversified panorama to approach these contemporary questions with perspective. (Online training in French)
We regularly update our catalogue to make AI knowledge available and accessible!
If you are an industrial member of IVADO, contact your advisor before registering yourself or your employees, to find out which promotional codes apply to you.
Learn more about the programs in the fields of data science, machine learning and operations research available at Université de Montréal, Polytechnique Montréal and HEC Montréal:
This page includes all academic programs offered in English by Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
This page includes all academic programs offered in English by Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
MASTER OF SCIENCE (MSC) – DATA SCIENCE AND BUSINESS ANALYTICS
Get the tools to take on one of the greatest management challenges in the age of digital technology and artificial intelligence: become an expert in analytics and data science. You’ll acquire the skills you need for better decision making, making you more competitive and innovative.
MASTER OF SCIENCE (MSC) – USER EXPERIENCE
Become a User Experience (UX) champion in organizations! This program will equip you with the comprehensive knowledge methods, and tools of this cutting-edge expertise including a foray in user-centered research.
MASTER OF SCIENCE (MSC) – FINANCIAL ENGINEERING
Are you ready to make the most of your passion for mathematics, programming and finance, and build yourself a fascinating career? Financial engineering will give you the means to analyze, evaluate and develop tools for dealing with today’s financial challenges.
This page includes all academic programs offered in English by Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
PHD IN ADMINISTRATION – DATA SCIENCE
Offered by HEC Montréal jointly with Concordia and McGill universities and the Université du Québec à Montréal (UQAM). This partnership gives you access to resources (faculty and courses) rarely available elsewhere in the world.
Research interests: artificial intelligence, bayesian statistics, big data mining, data mining, deep learning, genomics, machine learning, non-parametric methods, recommendation systems and statistics.
PHD IN ADMINISTRATION – MANAGEMENT SCIENCE
Offered by HEC Montréal jointly with Concordia and McGill universities and the Université du Québec à Montréal (UQAM). This partnership gives you access to resources (faculty and courses) rarely available elsewhere in the world.
Research interests: applications of operational research in finance, business analytics, combinatorial optimization, distribution management, supply chains, dynamic optimization, environmental management, game theory, graphs and networks, modelling and energy policy, optimization methods, quantitative methods in marketing and robust optimization.