Master Certificate in Microsoft AI Engineering | Montreal College of Information Technology

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Master Certificate in Microsoft AI Engineering

Build End-to-End AI Solutions with Microsoft Azure, Copilot, and OpenAI Technologies

Design, build, and deploy scalable AI solutions across cloud and enterprise environments
Master Python, data science, machine learning, and deep learning fundamentals
Gain hands-on experience with Azure AI services, Copilot, and generative AI tools
Apply NLP, computer vision, and transformer-based models to real-world challenges

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Programs

What support will I receive during the program?

Program Duration

6 Months

Program Duration

6 Months

Program Duration

6 Months

Learning Format

Online

Live Mentorship

from industry professionals

Learning Format

Online

Live Mentorship

from industry professionals

Learning Format

Online
Live Mentorship
from industry professionals

Start Date

Oct 31, 2025

Application closes on:

Oct 24, 2025

Start Date

Oct 31, 2025

Application closes on:

Oct 24, 2025

Start Date

Oct 31, 2025

Application closes on:

Oct 24, 2025

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Program Overview

Master Certificate in Microsoft AI Engineering Program is designed to equip you with the skills to build and deploy AI solutions. Gain a comprehensive understanding of generative AI, machine learning, and cloud-based AI tools through projects that simulate real-world scenarios and industry needs. Implement Deep Learning, GenAI, and Agentic AI through tools like TensorFlow, AutoGen, and Copilot Studio.

Enroll

6 Months

Contact an advisor

Oct 31, 2025

Tuition Fee

Duration

Start Date

Oct 31, 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Enroll

Start Date

Oct 31, 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Enroll

Course Outline

Master Certificate in Microsoft AI Engineering program delivers an in-depth AI curriculum that includes Python fundamentals, data science, machine learning, deep learning, as well as specialized topics like NLP and Generative AI. Students gain practical experience through hands-on projects, real-world case studies, industry-relevant insights, and expert sessions led by Microsoft professionals.

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Python for AI

Develop strong Python programming skills as the foundation for your AI and ML journey. Learn to build intelligent systems, implement algorithms, and manage data efficiently using Python.

Concepts Learned:

Python syntax, constructs, and IDE setup
Data types, operators, loops, and conditionals
Python functions and modular programming
Object-Oriented Programming (OOP) in Python
Threading and multithreading for efficiency

SKILLS GAINED

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SKILLS GAINED

……………………..

Python for AI

Develop strong Python programming skills as the foundation for your AI and ML journey. Learn to build intelligent systems, implement algorithms, and manage data efficiently using Python.

Concepts Learned:

Python syntax, constructs, and IDE setup
Data types, operators, loops, and conditionals
Python functions and modular programming
Object-Oriented Programming (OOP) in Python
Threading and multithreading for efficiency

SKILLS GAINED

……………………..

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Applied Data Science with Python

Master the end-to-end data science process, from data preparation to visualization. Gain practical expertise in Python libraries, hypothesis testing, and statistical modeling for business insights.

Concepts Learned:

Data science lifecycle and applications
Python for data science (NumPy, Pandas)
Linear algebra, statistics, and probability distributions
Hypothesis testing: Z-test, T-test, ANOVA
Data wrangling and preprocessing
Data visualization with Matplotlib, Seaborn, Plotly, and Bokeh

SKILLS GAINED

……………………..

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Machine Learning using Python

Gain hands-on experience with supervised, unsupervised, and ensemble learning. Learn to build models, optimize pipelines, and implement ML solutions with TensorFlow, Keras, and PyTorch.

Concepts Learned:

Machine Learning fundamentals and pipeline
Supervised learning – regression and classification
Unsupervised learning – clustering and dimensionality reduction
Ensemble methods – bagging, boosting, stacking
Overfitting, underfitting, and performance evaluation
Recommendation system development

SKILLS GAINED

……………………..

Machine Learning using Python

Gain hands-on experience with supervised, unsupervised, and ensemble learning. Learn to build models, optimize pipelines, and implement ML solutions with TensorFlow, Keras, and PyTorch.

Concepts Learned:

Machine Learning fundamentals and pipeline
Supervised learning – regression and classification
Unsupervised learning – clustering and dimensionality reduction
Ensemble methods – bagging, boosting, stacking
Overfitting, underfitting, and performance evaluation
Recommendation system development

SKILLS GAINED

……………………..

Deep Learning Specialization

Advance into deep learning by exploring neural networks, CNNs, RNNs, transformers, and autoencoders. Learn to optimize models and apply them in vision, NLP, and real-world AI solutions.

Concepts Learned:

Deep learning vs. machine learning
Neural networks – forward & backward propagation
Hyperparameter tuning and interpretability
Convolutional Neural Networks (CNNs) for vision
Recurrent Neural Ninstructor
etworks (RNNs) for sequence data
Transfer learning and object detection
Autoencoders and representation learning

SKILLS GAINED

……………………..

Deep Learning Specialization

Advance into deep learning by exploring neural networks, CNNs, RNNs, transformers, and autoencoders. Learn to optimize models and apply them in vision, NLP, and real-world AI solutions.

Concepts Learned:

Deep learning vs. machine learning
Neural networks – forward & backward propagation
Hyperparameter tuning and interpretability
Convolutional Neural Networks (CNNs) for vision
Recurrent Neural Ninstructor
etworks (RNNs) for sequence data
Transfer learning and object detection
Autoencoders and representation learning

SKILLS GAINED

……………………..

Microsoft Azure AI Fundamentals (AI-900)

Prepare for the Microsoft AI-900 certification by mastering Azure AI services. Learn cloud AI fundamentals, governance, and compliance while working with Microsoft’s cloud-based AI solutions.

Concepts Learned:

Azure cloud and AI service overview
AI workloads, tools, and resources in Azure
Managing costs, governance, and compliance
Security and regulatory frameworks in Azure

SKILLS GAINED

……………………..

Microsoft Azure AI Fundamentals (AI-900)

Prepare for the Microsoft AI-900 certification by mastering Azure AI services. Learn cloud AI fundamentals, governance, and compliance while working with Microsoft’s cloud-based AI solutions.

Concepts Learned:

Azure cloud and AI service overview
AI workloads, tools, and resources in Azure
Managing costs, governance, and compliance
Security and regulatory frameworks in Azure

SKILLS GAINED

……………………..

Microsoft Copilot Foundation

Learn how to design and build copilots using Microsoft Copilot Studio. Explore RAG-based copilots, prompt flow design, and grounding strategies to enhance AI-powered business tools.

Concepts Learned:

Copilot Studio interface and features
Bot creation, publishing, and performance analytics
Retrieval-Augmented Generation (RAG) copilots
Prompt flow design and model grounding

SKILLS GAINED

……………………..

Microsoft Copilot Foundation

Learn how to design and build copilots using Microsoft Copilot Studio. Explore RAG-based copilots, prompt flow design, and grounding strategies to enhance AI-powered business tools.

Concepts Learned:

Copilot Studio interface and features
Bot creation, publishing, and performance analytics
Retrieval-Augmented Generation (RAG) copilots
Prompt flow design and model grounding

SKILLS GAINED

……………………..

AI Engineer Capstone Project

Bring together your AI, ML, and deep learning skills in a real-world project. Solve industry problems, apply best practices, and showcase your portfolio to future employers.

Concepts Learned:

Industry-specific AI problem-solving
End-to-end design of AI/ML solutions
Capstone project development and presentation

SKILLS GAINED

……………………..

AI Engineer Capstone Project

Bring together your AI, ML, and deep learning skills in a real-world project. Solve industry problems, apply best practices, and showcase your portfolio to future employers.

Concepts Learned:

Industry-specific AI problem-solving
End-to-end design of AI/ML solutions
Capstone project development and presentation

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

Applied Data Science with Python

Master the end-to-end data science process, from data preparation to visualization. Gain practical expertise in Python libraries, hypothesis testing, and statistical modeling for business insights.

Concepts Learned:

Data science lifecycle and applications
Python for data science (NumPy, Pandas)
Linear algebra, statistics, and probability distributions
Hypothesis testing: Z-test, T-test, ANOVA
Data wrangling and preprocessing
Data visualization with Matplotlib, Seaborn, Plotly, and Bokeh

SKILLS GAINED

Machine Learning using Python

Gain hands-on experience with supervised, unsupervised, and ensemble learning. Learn to build models, optimize pipelines, and implement ML solutions with TensorFlow, Keras, and PyTorch.

Concepts Learned:

Machine Learning fundamentals and pipeline
Supervised learning – regression and classification
Unsupervised learning – clustering and dimensionality reduction
Ensemble methods – bagging, boosting, stacking
Overfitting, underfitting, and performance evaluation
Recommendation system development

SKILLS GAINED

Deep Learning Specialization

Advance into deep learning by exploring neural networks, CNNs, RNNs, transformers, and autoencoders. Learn to optimize models and apply them in vision, NLP, and real-world AI solutions.

Concepts Learned:

Deep learning vs. machine learning
Neural networks – forward & backward propagation
Hyperparameter tuning and interpretability
Convolutional Neural Networks (CNNs) for vision
Recurrent Neural Ninstructor
etworks (RNNs) for sequence data
Transfer learning and object detection
Autoencoders and representation learning

SKILLS GAINED

Microsoft Azure AI Fundamentals (AI-900)

Prepare for the Microsoft AI-900 certification by mastering Azure AI services. Learn cloud AI fundamentals, governance, and compliance while working with Microsoft’s cloud-based AI solutions.

Concepts Learned:

Azure cloud and AI service overview
AI workloads, tools, and resources in Azure
Managing costs, governance, and compliance
Security and regulatory frameworks in Azure

SKILLS GAINED

Microsoft Copilot Foundation

Learn how to design and build copilots using Microsoft Copilot Studio. Explore RAG-based copilots, prompt flow design, and grounding strategies to enhance AI-powered business tools.

Concepts Learned:

Copilot Studio interface and features
Bot creation, publishing, and performance analytics
Retrieval-Augmented Generation (RAG) copilots
Prompt flow design and model grounding

SKILLS GAINED

AI Engineer Capstone Project

Bring together your AI, ML, and deep learning skills in a real-world project. Solve industry problems, apply best practices, and showcase your portfolio to future employers.

Concepts Learned:

Industry-specific AI problem-solving
End-to-end design of AI/ML solutions
Capstone project development and presentation

SKILLS GAINED

How to Apply

Scholarships

Financial Aid

Admission
process

Eligibility

Admission Process

Step 1: Book an Appointment with an Advisor
Step 2: Prepare Your Documents

Diploma and transcripts (High School, CEGEP, College, or University)
Birth Certificate (in English or French)
Proof of Canadian status
French language proficiency proof
Current resume
Two government-issued photo IDs
Step 3: Pay Application Fees
$50 application + $150 registration.

Step 4: Submit Your Application Form

Talk to an Advisor

Financial Aid

Scholarships

Admission process

Eligibility

Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
You can also apply with the government to get financial aid through the AFE loan program (Aide financière aux études/Student financial assistance).

➔ Attend an Info Session  

➔ Meet an Advisor  

➔ Submit Documents  

➔ Get Scholarship  

➔ Begin your Career

Attend an infosession

Scholarships

Financial Aid

Scholarships

Admission process

Eligibility

➔ Meet an Advisor  

➔ Submit Documents  

➔ Get Scholarship  

➔ Begin your Career

Attend an infosession

Scholarships

Reach us

Meet & Greet

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

Meet us

Meet & Greet

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

Meet us

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

1:1 with Advisor

Meet us

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

1:1 with Advisor

Meet us

Info Sessions

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

Meet us

Info Sessions

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

Meet us

1:1 Advising

Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.

Book

Info session

Join our info sessions that are held periodically to know more about our programs and offerings.

Become job ready

Networking Events

Financial Aid

Resume Preperation

Mentorship & Guidance:

Portfolio Preperation

Networking Events

Events That Make You Job-Ready

At MCIT, our programs go beyond the classroom. We create opportunities to connect, grow, and get hired through a range of career-focused events:

Intelligent Networking Events
Curated sessions designed to connect you with industry professionals and hiring companies.
Instructor-Led Introductions
Our instructors share their own professional networks, opening doors to real-world opportunities.
Peer-to-Peer Networking
Engage with classmates and alumni to build meaningful connections within your industry.
Meet the Recruiter
Participate in exclusive events where recruiters come to meet, mentor, and hire MCIT students.

Attend an infosession

Resume preperation

Networking Events

Resume Preperation

interview Preperation

Portfolio

Preparation

Craft a Winning Resume & Land Your Dream Job Faster!
Your resume is your first impression on potential employers
Join our Resume Preparation Workshop to learn how to create a standout resume that highlights your skills, experience, and strengths in a way that grabs employers’ attention.

Attend an infosession

Resume preperation

Networking Events

Resume Preperation

interview Preperation

Portfolio

Preparation

Attend an infosession

Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)

Business Intelligence and Visualization Analyst (LEA.CV)
-900 hrs-

Instructor Spotlight

Mojtaba Ghasemi
Senior Data Scientist
10 + Years
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Michel Chamoun
Data Science & Business Analyst
5 Years
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Sami Islam
Senior Cloud Technical Architect
5 + Years
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
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.

Intructor spotlight

Mojtaba Ghasemi
Senior Data Scientist
10 + Years
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Michel Chamoun
Data Science & Business Analyst
5 Years
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Sami Islam
Senior Cloud Technical Architect
5 + Years
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
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.

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