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Master Certificate in Microsoft AI Engineering

Master Certificate in Microsoft AI Engineering

Propulsez votre carrière

Propulsez votre carrière

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


Parlez à un conseiller

Parlez à un conseiller

>

>

What support will I receive during the program?

Durée:

6 Months

Durée:

6 Months

Durée:

6 Months

Début : 15 oct 2025

Oct 17, 2025

Horaire : Lu-Mer-Ven

Sep 19, 2025

Début : 15 oct 2025

Oct 17, 2025

Horaire : Lu-Mer-Ven

Sep 19, 2025

Début : 15 oct 2025

Oct 17, 2025

Horaire : Lu-Mer-Ven

Sep 19, 2025

Événements :

Assistez à une

Événements

Assistez à une

<<Info session>>

Événements

Assistez à une

<<Info session>>

Aperçu du programme

Aperçu du programme

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.

Start Date

17 oct. 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Start Date

17 oct. 2025

Duration

6 Months

Tuition Fee

Contact The Advisor

Plan de cours

Plan de cours

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.

Téléchargez le plan

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

APTITUDES

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

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

APTITUDES

……………………..

APTITUDES

……………………..

APTITUDES

……………………..

APTITUDES

……………………..

APTITUDES

……………………..

APTITUDES

……………………..

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

APTITUDES

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

APTITUDES

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

APTITUDES

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

APTITUDES

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

APTITUDES

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

APTITUDES

APTITUDES

APTITUDES

APTITUDES

Comment postuler

Comment postuler

Bourses

Aide financière

Aide financière

Processus

d'admission

Admissibilité

Admission

Étape 1 : Prenez rendez-vous avec un conseiller
Étape 2 : Préparez vos documents

  • Diplôme et relevés de notes (Secondaire, CEGEP, Collège ou Université)

  • Certificat de naissance (en français ou en anglais)

  • Preuve de statut au Canada

  • Preuve de compétence en français

  • CV à jour

  • Deux pièces d’identité gouvernementales avec photo

Étape 3 : Payez les frais d’admission

50 $ demande + 150 $ inscription

Étape 4 : Soumettez votre formulaire d’admission

Parlez à un conseiller

Financial Aid

Scholarships

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

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

Contactez-nous

Contactez-nous

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

Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

1:1 with Advisor

Rencontrez-nous

Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

1:1 with Advisor

Rencontrez-nous

Info Sessions

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

Meet us

i

Info Sessions

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

Meet us

i

Prêt pour l'emploi

Prêt pour l'emploi

Événements de réseautage

Événements de réseautage

Aide financière

Préparation de CV

Mentorat et conseils

Préparation de portfolio

Événements de réseautage

Événements qui vous préparent à l'emploi

Au CTIM, nos programmes vont au-delà de la salle de classe. Nous créons des occasions de réseautage, de développement et d’embauche à travers divers événements axés sur la carrière :

  • Événements de réseautage intelligent

    Des sessions ciblées pour vous connecter avec des pros du secteur et des entreprises qui recrutent.

  • Présentations menées par nos enseignants

    Nos enseignants partagent leur propre réseau pour vous ouvrir à des opportunités concrètes.

  • Réseautage entre pairs

    Échangez avec vos collègues et notre réseau d'anciens étudiantsd pour tisser des liens solides dans votre domaine.

  • Rencontrez les recruteurs

    Participez à des événements exclusifs où les recruteurs viennent rencontrer, guider et embaucher les étudiants du CTIM.

Attend an infosession

Préparation de CV

Événements de réseautage

Resume Preperation

interview Preperation

Préparation de protfolio

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.

Assistez à une Info-session

Préparation de CV

Événements de réseautage

Resume Preperation

interview Preperation

Préparation de protfolio

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.

Assistez à une Info-session

À la réussite du programme, le CTIM délivre à l’étudiant une AEC (Attestation d’études collégiales)

Analyste en intelligence d’affaires et visualisation (LEA.CV) 900 h

À la réussite du programme, le CTIM délivre à l’étudiant une AEC (Attestation d’études collégiales)

Analyste en intelligence d’affaires et visualisation (LEA.CV) – 900 h –

Plein feu sur nos enseignants

Mise en lumière de l'instructeur

⭐️

Connect to Content

Add layers or components to make infinite auto-playing slideshows.

Témoignanges d'étudiants

Témoignanges d'étudiants

Prochaines sessions et horaires

Prochaines sessions et horaires

Fall

Session d'automne

Oct 1, 2025

Register Before

Sep 3, 2025

Fall

Session d'automne

Oct 1, 2025

Register Before

Sep 3, 2025

Winter

Session d'hiver

Oct 4, 2025

Register Before

Sep 5, 2025

Winter

Session d'hiver

Oct 4, 2025

Register Before

Sep 5, 2025

Summer

Session d'été

Sep 4, 2025

Register Before

Aug 7, 2025

Summer

Session d'été

Sep 4, 2025

Register Before

Aug 7, 2025

FAQ

FAQ

What is Microsoft AI Engineering? 

What is MCIT’s Master Certificate in Microsoft AI Engineering about? 

What is Microsoft AI Engineering? 

What does a Microsoft AI Engineer do? 

What is Microsoft AI Engineering? 

What are the benefits of taking this Microsoft AI Engineering program at MCIT? 

What is Microsoft AI Engineering? 

What is the average salary of a Microsoft AI Engineer in Canada? 

What is Microsoft AI Engineering? 

What career path can I pursue after completing this program? 

What is Microsoft AI Engineering? 

Who are the instructors for the Microsoft AI Engineering program? 

What is Microsoft AI Engineering? 

Can I join Microsoft AI Engineering program if I have no technical background?

What is Microsoft AI Engineering? 

What is the learning format available for Microsoft AI Engineering program?

What is Microsoft AI Engineering? 

What is Microsoft AI Engineering? 

What is Microsoft AI Engineering? 

What support will I receive during the program?

What support will I receive during the program?

How do I enroll in the Microsoft AI Engineering program? 

How do I enroll in the Microsoft AI Engineering program? 

What is Microsoft AI Engineering? 

What is MCIT’s Master Certificate in Microsoft AI Engineering about? 

What does a Microsoft AI Engineer do? 

What are the benefits of taking this Microsoft AI Engineering program at MCIT? 

What is the average salary of a Microsoft AI Engineer in Canada? 

What career path can I pursue after completing this program? 

Who are the instructors for the Microsoft AI Engineering program? 

Can I join Microsoft AI Engineering program if I have no technical background?

What is the learning format available for Microsoft AI Engineering program?

What support will I receive during the program?

How do I enroll in the Microsoft AI Engineering program? 

montreal-college-of-information-technology-footer

Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 312 2383

[email protected]

montreal-college-of-information-technology-footer

Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 312 2383

[email protected]

montreal-college-of-information-technology-footer

Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 312 2383

[email protected]