NLP: Data Mining in Product Reviews
Develop your skills in NLP and leverage your data to improve your products.
Virtual workshop, 6 hours
March 15 and 17, 2023
Through our “From Data to Decision” program, we offer training to develop your skills in a growing field! Focused on practice and available in various formats, our training courses are at the cutting edge of current knowledge in AI thanks to the involvement of our academic members.
Training
Our schools and workshops will give you a better understanding of how AI fits into your business domain and allow you to specialize in the skill set that is most relevant to you.
Virtual workshop, 6 hours
March 15 and 17, 2023
NLP : Knowledge graphs: Extracting and leveraging meaning from unstructured text
Learn how to implement from scratch a simple and comprehensive NLP pipeline that combines multiple data sources to build a knowledge graph.
Virtual workshop, 6 hours
April 3 and 6, 2023
NLP: Question answering: from the document to the excerpt
Question Answering systems are evolving rapidly! Stay up to date by attending our workshop that will cover the latest innovations in the field.
Virtual workshop, 6 hours
April 26 and 28, 2023
Machine Learning School (in French)
What business problems can be solved by machine learning, and how? We'll answer this question from March 6 to 16! This school is a collaboration between IID + Faculté des sciences et de génie, Université Laval + IVADO
Access to the full catalog
We regularly update our catalog to make AI knowledge available and accessible!
Learn online at your own pace with our MOOC
These training courses that we provide for free will allow you to acquire the fundamentals of AI, and then to perfect your skills. Enjoy them!
Machine Learning Use Cases in Finance
In this course, we will first present a review of some of the applications of machine learning and deep learning.
Recommender Systems: Behind the Screen
Comment les articles sont-ils recommandés lorsque vous recherchez des films, des emplois ou des vêtements en ligne ? Inscrivez-vous ici et découvrez les concepts et méthodes fondamentaux
Bias and Discrimination in Artificial Intelligence
Découvrez comment les algorithmes informatiques peuvent être biaisés et entraîner un impact important sur notre vie quotidienne.
Deep Learning Essentials
Do you want to learn how machines can learn tasks we thought only human brains could perform?
Introduction to AI ethics
What are the ethical issues raised by the emergence of artificial intelligence systems? This introductory course in French offers a rich and diversified panorama to approach these contemporary questions with perspective.
Access to the full catalog
We regularly update our catalog to make AI knowledge available and accessible!
Testimony
“I wanted to congratulate you for this excellent webinar on digital therapies and videogaming. The content and organization were of extremely high quality. The audience’s enthusiasm was also evident from the number of questions and comments. I was riveted by the presentations!”
– François Bergeron, MEDTEQ+
Scale AI Support
Our courses are accredited by Scale AI! If you work in Canada, this means that you can benefit from a 50% discount on general admission. Click here to learn more.
Notice to our industrial members IVADO
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.
Our training partners
Other credit-earning training programs
Learn more about the programs available at Université de Montréal, Polytechnique Montréal et HEC Montréal in the fields of data science, machine learning and operations research:
Undergraduate
This page includes all academic programs offered in English by the Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
Graduate - Master’s
This page includes all academic programs offered in English by the Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
HEC Montréal
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.
Graduate - PhD
This page includes all academic programs offered in English by the Université de Montréal, Polytechnique Montréal and HEC Montréal. To access programs offered in French, please consult this page.
HEC Montréal
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.