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

Most Popular Ai & Machine Learning Diplomas

Master Certificate in Deep Learning and Generative AI

6 Months

Open for enrollment

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Master Certificate in Deep Learning and Generative AI

6 Months

Open for enrollment

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Master Certificate in Generative AI for Business Leaders

6 Months

Open for enrollment

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Master Certificate in Generative AI for Business Leaders

6 Months

Open for enrollment

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Master Certificate in Machine Learning Systems & Data Engineering

6 Months

Open for enrollment

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Master Certificate in Machine Learning Systems & Data Engineering

6 Months

Open for enrollment

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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
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.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Marwan Habshi
EPM & Data Analytics Delivery Lead
Marwan Habshi is an Industry Expert in Business Intelligence and Analytics, with over a decade of experience in major consulting firms. Combining his MBA and IT background, he specializes in tools like Tableau, Power BI, and OAC, and enjoys teaching data methodologies.
Parminderjit Singh
Senior Data Architect.
Parminder Jit Singh, with over 17 years of experience, is a highly skilled professional in MS SQL Server Azure and related technologies. He specializes in MS BI (SSIS, SSAS, SSRS), SharePoint, SQL Query Analyzer, SQL Server Management Studio, and Business Intelligence Development Studio. Parminder's expertise in delivering essential IT solutions is matched by his accessible mentoring style, guiding aspiring professionals effectively.

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.

Instructor-Led (Live Project-Based Learning)	Mentor-Guided (Self-Paced + Projects)	Self-Paced (Curated Path – Tech Pack)
Individuals who want structure & accountability	Motivated learners who want flexible learning with support	Independent learners exploring a career path
Evenings, 2× per week (6–9 PM)	Flexible + weekly mentor check-in	Start Anytime
Live classes, group projects, custom labs, 1:1 support	Guided labs, weekly mentor sessions, TA support, real projects	MCIT LMS curated path, one-time mentor onboarding, and tools access