This program will enable students to further their education in computer science by specializing in problem-solving and data management in an artificial intelligence environment, particularly in machine learning.
DurationMontréal is the undisputed leader in artificial intelligence (AI) in Canada. This is a promising industry with many job opportunities. Leading figures in the technology community have played a part in developing this cutting-edge expertise within the city.
This program will enable students to further their education in computer science by specializing in problem-solving and data management in an artificial intelligence environment, particularly in machine learning. They will discover the key components of AI, including database storage and algorithms.
During their learning, the student will be able to:
prepare and configure data to apply algorithms
apply machine learning models and algorithmic tools
identify and select relevant research information
extract results and solve problems
The program focuses on creating value for a company through tools that promote decision-making. Students will be asked to examine various contextual case studies. They will also gain strong problem-solving skills that will help them perform accurate forecasting and analysis.
Students will learn several key skills and tools that are essential to starting a career in the artificial intelligence and machine learning industries. They can apply their knowledge to various fields, including financial technology, cybersecurity, aeronautics, and retail.
Course Goals
Upon completion of this program, students will have developed key skills that match the technical needs of the AI industry. This academic program will enable them to get entry-level positions in this dynamic environment, including roles such as data scientist or intelligent systems integrator.
Career Prospects
Intelligent systems integrator
Programmer specializing in machine learning
Programmer-analyst in machine learning
Programmer-analyst in learning systems
Programmer in artificial intelligence
Data scientist
Specialists in artificial intelligence techniques
Machine learning technician
Artificial intelligence technician
Learning system and megadata technician
In 1989, the College inaugurated its very first international campus in Casablanca, Morocco. Now present on 5 continents, the LCI Education network has 23 higher education campuses and some 3,000 employees who each year train more than 17,000 students around the world.
From one country to another, LCI Education favors the harmonization of its programs, which allows greater flexibility, better control over the quality of its services and a deeper respect for the various cultures it encounters.
Above all, LaSalle College is committed to instilling in its students a true understanding of the profession they are aiming for. The restaurant La Classe (formerly the Fuchsia), opened in 1996, is a concrete example.
What could be better than a restaurant open to the public to teach catering to restaurant management and cooking students? This spirit materializes once again with the opening of the Garderie LaSalle des Petits .
Aspiring special educators and early childhood educators will be able to improve their knowledge of the early childhood education environment and arrive on the job market ready
In the first part of this machine learning course, students get started in machine learning by implementing powerful supervised learning algorithms in Python using its allied packages, providing limited theoretical concepts and practical awareness of important learning algorithms.
To acquire the ability to apply developed models to real-world scenarios in a production environment, you will deploy models as microservices and integrate them into end-user applications.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this eme...
You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
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