Ai & Machine Learning
Ai & Machine Learning
Our AI and Machine Learning programs are designed for professionals who aim for exceptional mastery in these rapidly evolving fields. With a curriculum that blends cutting-edge tools, real-world applications, and expert instruction, you’ll gain the advanced skills and knowledge needed to excel in AI, machine learning, and data science.
These programs prepare you to take on high-demand roles in top organizations worldwide, with hands-on training that equips you with the expertise to drive real impact and innovation in AI and ML.

Diploma Programs
Diploma Programs
Most Popular Ai & Machine Learning Diplomas
Most Popular Ai & Machine Learning Diplomas
Master Certificate in AI and Machine Learning
6 mois
Open for enrollment
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Master Certificate in AI and Machine Learning
6 mois
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Master Certificate in Applied Generative AI
5 months
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Master Certificate in Applied Generative AI
5 months
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Master Certificate in Data Science and Generative AI
6 mois
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Master Certificate in Data Science and Generative AI
6 mois
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Master Certificate in Generative AI for Business Leaders
5 months
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Master Certificate in Generative AI for Business Leaders
5 months
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Master Certificate in Microsoft AI Engineering
6 Months
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Master Certificate in Microsoft AI Engineering
6 Months
Open for enrollment
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Learn at Your Pace. Guided by Experts
Learn at Your Pace. Guided by Experts
MCIT's instructor-guided approach combines flexible learning with hands-on mentorship. You progress through curated content on your schedule—while industry professionals guide you through real projects, provide detailed feedback, and help you build a job-ready portfolio.
About 65% of your time goes into project work. Your mentor reviews every project until it meets professional standards—so by graduation, you don't just know data science, you have proof you can do it.


Mojtaba Faramarzi
Scientifique de recherche appliquée
Mojtaba est doctorant en apprentissage automatique à l’institut Mila et détient deux maîtrises—l’une en apprentissage automatique de Mila et l’autre en génie logiciel de l’Université Concordia. Il a collaboré avec des entreprises de premier plan telles qu’Amazon, Microsoft, SAP et Ericsson. Fort d’une expérience en enseignement (McGill) et en industrie, il aide les étudiants à développer esprit critique et compétences pratiques.

Michel Chamoun
Analyste d'affaires et science des données
Michel est un développeur et consultant hautement qualifié, expert en IA, analyse de données et optimisation des processus. Au sein de l’équipe GenAI, il a conçu des preuves de concept exploitant les capacités de compréhension du langage naturel de chatGPT et a intégré des modules d’IA sur Microsoft Azure. Comme consultant en stratégie et opérations, il a conçu des algorithmes pour le profilage des accès utilisateurs.

Mojtaba Ghasemi
Sénior scientifique de données
Scientifique des données axé sur les résultats, titulaire d’un doctorat en génie biomédical, spécialisé en analytique avancée, modélisation prédictive et apprentissage automatique. Avec 5 ans d’expérience et travaillant actuellement comme scientifique des données principal, Mojtaba excelle à traduire des analyses complexes pour un public non technique et à diriger des équipes interfonctionnelles livrant des solutions d’affaires percutantes.

Marwan Habshi
Chef livraison EPM & analytique données
Expert reconnu de l’industrie avec plus d’une décennie en intelligence d’affaires et analytique, principalement sur Tableau BI, Microsoft Power BI, OAC, PBCS, gestion des données, OBIEE et Essbase, surtout dans les grands cabinets de conseil. Titulaire d’un MBA et d’un diplôme en TI, il allie objectifs d’affaires et maîtrise technologique. Il transmet sa passion du savoir et de l’apprentissage en enseignant l’intelligence d’affaires et les méthodologies de données aux aspirants motivés.

Parminderjit Singh
Sénior architecte de données
Parminder Jit Singh, avec plus de 17 ans d’expérience, est un professionnel hautement qualifié en MS SQL Server Azure et technologies associées. Spécialiste en MS BI (SSIS, SSAS, SSRS), SharePoint, SQL Query Analyzer, SQL Server Management Studio et Business Intelligence Development Studio. Son expertise dans la livraison de solutions TI essentielles s’accompagne d’un style de mentorat accessible, guidant efficacement les futurs professionnels.

Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.

Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.

Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.

Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.

Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Choose Your Path to a Career in Tech
Three flexible ways to learn, grow, and transform your career
with MCIT.
Path 1: | Path 2: | Path 3: |
|---|---|---|
For busy IT professionals and lifelong learners who want full flexibility. | For motivated learners who want mentorship, projects, and consulting experience. | For learners who prefer structure, classroom engagement, and collaboration. |
Overview | Overview | Overview |
MCIT’s self-paced Tech Pack offers IT professionals access to premium resources, subject matter experts, and networking opportunities to support their career growth. | The Consultant Track pairs you with Senior Consultants and Subject Matter Experts who guide your journey — from skill discovery to career launch. | This instructor-led track is ideal for IT newcomers or those who thrive in interactive, group-based learning, offering expert guidance twice weekly along with labs, projects, and career preparation. |
What’s Included | What’s Included | What’s Included |
|
|
|
Duration & Price | Duration & Price | Duration & Price |
Self-paced $999 CAD | 6–12 months (depending on specialization) $1,999–$2,999 CAD | 6–12 months (depending on specialization) $6,000–$12,000 CAD |
Do you Need Help Choosing the Right IT Course?
Do you Need Help Choosing the Right IT Course?
Our expert mentors are here to help you with effective career advice
Our expert mentors are here to help you with effective career advice

Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 312 2383

Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 312 2383