They are aimed at people who are already on the information technology job market as well as IT graduate students who want to continue their training.
DurationWhat is an artificial intelligence technician?
The artificial intelligence technician is dedicated to collecting data, preparing it, applying libraries and machine learning algorithms according to the learning model defined and developed by the university graduate in artificial intelligence to whom he is associated, and then to the deployment and production of the algorithm in a production environment, particularly cloud computing.
Program Objectives
Graduates will be able to:
Contribute to the design of secure applications (including software architecture).
Participate in the development of secure software.
Evaluate the resistance of software using various piracy tests.
Deploy and host software securely.
Participate in the creation of a secure IT system.
Define, monitor, and ensure compliance with standards.
Use visualization tools.
Who can follow these specialization programs?
They are aimed at people who are already on the information technology job market as well as IT graduate students who want to continue their training.
Prerequisites
Undergraduate degree in computer science
The professional studies diploma and relevant work experience
College diploma in computer technology or equivalent;
Job Titles Leading to Program Graduates Include:
Technician in “data engineering”
Data preparer
Data engineering analyst;
Intelligent systems integrator
Programmer in “data engineering”
Technicians in deployment of artificial intelligence solutions
Programmer and Big Data Analyst
Artificial intelligence developer
I personally welcome you. I see that you are considering a career in the field of Information Technology. Allow me to introduce our institution to you in a few words.
I have worked there for over 30 years and what I like most about us is seeing the dedication of the teachers and the motivation of our students, who I call my customers. Why I consider you customers is quite simple. We are a private college and when you choose to opt for training with us, we are committed to providing you, as our client, with the best in the field of IT training; constantly updated programs, an extraordinary student life, flexibility in the way you follow training and the reputation of the college for the recognition of your skills, necessary for your future career.
Your success is our reason for being. It is this success and subsequently the professional career of our graduates that has forged and maintains our reputation for excellence.
I will certainly have the pleasure of meeting you in our facilities in Saguenay or Montreal.
Recognized Private IT college
Since 1986, Multihexa has trained more than 5,000 students throughout Quebec.
Over the years, our college has built a solid reputation among private, government and paragovernmental companies. We find several of our graduates in key IT positions. We find them as team leaders, project managers, IT support managers, developers at all levels. They support, transform, create, improve and reinvent. In summary, they contribute to improving the quality of life of people in organizations who are lucky enough to count on them and we are very proud of that.
Our Value Proposition:
Practical training for work-oriented skills development
Targeted course content, structured learning
The best teachers in the industry who share their subject matter expertise
Programs approved by the Quebec Ministry of Education and Higher Education guarantee greater competence.
Our Mission
Develop the full potential and autonomy of our students through our fundamental skills, the excellence of our trainers as well as the relevance of our programs, so that they become specialists in information and communications technologies.
Multihexa is committed to promoting their achievement while respecting the needs and objectives of organizations.
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You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities.
Learn how to use notebooks and scripts to train machine learning models and use Azure Machine Learning services to assess data, manage compute, track training models, implement Responsible AI principles, and deploy models to endpoints.
The project-based program will teach you how to use AI to solve common problems through case studies, detailed roadmaps, end-to-end machine learning, and no-code software.
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