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Master Certificate in Microsoft AI Engineering

Fast Track Your Career

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

Master Certificate in Microsoft AI Engineering

Duration

6 Months

Duration

6 Months

Duration

6 Months

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Program Overview

Enroll

6 Months

Contact an advisor

Oct 13, 2025

Tuition Fee

Duration

Start Date

Oct 13, 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Enroll

Start Date

Oct 13, 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Enroll

Choose How You Learn

We’ve designed flexible learning formats to fit different student needs, learning styles, and budgets - giving you the freedom to choose how you want to build your career.

Step 1: Choose Your Career Path

Features:

Meet with the program director
Complete a Skill assessment
Begin with introductory and prerequisite courses

Price:

starting as low as 499 $ - credited towards tuition

Confirmation of admission into the diploma program

Instructor-Led (Online Live Classes)

Features:

Live online workshops classes led by experienced instructors
Interactive discussions, direct Q&A, and peer collaboration, customized labs and group projects
1:1 mentor support for career alignment
Job-readiness workshops (resume, interview prep, consulting exposure)

Price:

Diploma Program | call us

*Apply for Scholarship towards the tuition fees

Course Outline

Download Outline

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

……………………..

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

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