Master Certificate in Machine Learning Systems & Data Engineering
Master Certificate in Machine Learning Systems & Data Engineering
Master Certificate in Machine Learning Systems & Data Engineering
Master Python, Applied Data Science, Machine Learning, ETL pipelines, and Azure AI—then build a real AI Engineering capstone project.
Learn hands-on from expert instructors with guided mentorship and job-focused training.
Build the skills to design, deploy, and manage production-level AI & Data Engineering systems. Become job-ready in 8 months.
Parlez à un conseiller
Parlez à un conseiller
Parlez à un conseiller
Durée:
6 Months
Durée:
6 Months
Durée:
6 Months
Durée:
10 months
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Durée:
6 Months
Durée:
6 Months
Durée:
6 Months
Durée:
Aperçu du programme
Aperçu du programme
Aperçu du programme
The Master Certificate in Machine Learning Systems & Data Engineering is an 8-month, instructor-led program that teaches you how to build practical, end-to-end AI solutions. You will learn Python, data science, machine learning, deep learning basics, and data engineering skills such as ETL pipelines and workflow automation.
The program also introduces Azure AI, Copilot, and cloud deployment tools so you can design and deliver AI systems in real environments. Through structured learning and hands-on projects, you’ll build the confidence to work on data-driven applications and support AI development in modern organizations.
Plan de cours
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
APTITUDES
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Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
APTITUDES
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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
APTITUDES
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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
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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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
APTITUDES
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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
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
APTITUDES
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ETL and Data Engineering
This module covers the fundamentals of ETL (Extract, Transform, Load) processes and data engineering. Learners will explore how to collect, transform, and load data efficiently, building robust pipelines that support analytics and machine learning workflows. Hands-on exercises using Python will prepare students to design, implement, and deploy data pipelines in real-world environments.
Concepts Learnt:
Basics of ETL processes and pipeline design
Core data engineering workflows and best practices
Data formats, storage, and database operations (SQL & NoSQL)
Data cleansing, validation, and quality assurance
Python-based ETL tools and frameworks (e.g., pandas, Airflow)
Pipeline deployment and monitoring
APTITUDES
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ETL and Data Engineering
This module covers the fundamentals of ETL (Extract, Transform, Load) processes and data engineering. Learners will explore how to collect, transform, and load data efficiently, building robust pipelines that support analytics and machine learning workflows. Hands-on exercises using Python will prepare students to design, implement, and deploy data pipelines in real-world environments.
Concepts Learnt:
Basics of ETL processes and pipeline design
Core data engineering workflows and best practices
Data formats, storage, and database operations (SQL & NoSQL)
Data cleansing, validation, and quality assurance
Python-based ETL tools and frameworks (e.g., pandas, Airflow)
Pipeline deployment and monitoring
APTITUDES
……………………..
ETL and Data Engineering
This module covers the fundamentals of ETL (Extract, Transform, Load) processes and data engineering. Learners will explore how to collect, transform, and load data efficiently, building robust pipelines that support analytics and machine learning workflows. Hands-on exercises using Python will prepare students to design, implement, and deploy data pipelines in real-world environments.
Concepts Learnt:
Basics of ETL processes and pipeline design
Core data engineering workflows and best practices
Data formats, storage, and database operations (SQL & NoSQL)
Data cleansing, validation, and quality assurance
Python-based ETL tools and frameworks (e.g., pandas, Airflow)
Pipeline deployment and monitoring
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
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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
……………………..
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
……………………..
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
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APTITUDES
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APTITUDES
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APTITUDES
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APTITUDES
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APTITUDES
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APTITUDES
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APTITUDES
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APTITUDES
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Applied Data Science with Python
Applied Data Science with Python
Applied Data Science with Python
Machine Learning using Python
Machine Learning using Python
Machine Learning using Python
ETL and Data Engineering
ETL and Data Engineering
ETL and Data Engineering
Microsoft Azure AI Fundamentals (AI-900)
Microsoft Azure AI Fundamentals (AI-900)
Microsoft Azure AI Fundamentals (AI-900)
Microsoft Copilot Foundation
Microsoft Copilot Foundation
Microsoft Copilot Foundation
AI Engineer Capstone Project
AI Engineer Capstone Project
AI Engineer Capstone Project
Comment postuler
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
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
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
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
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
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
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
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
Plein feu sur nos enseignants
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.
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.
Sami Islam
Architecte technique senior de cloud
Sami Islam possède plus de 10 ans d'expérience dans le secteur des technologies de l'information et du conseil, se spécialisant dans des solutions Cloud complètes. Grâce à son expertise en méthodologie Agile, il a dirigé de nombreux projets de transformation Cloud, y compris la migration, l'automatisation des pipelines CI/CD et les solutions d'entreposage de données. Sami détient plusieurs certifications, y compris Architecte Cloud Professionnel Google Cloud, Associé Architecte Solutions AWS et Certifications Azure.
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.
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 –
Mise en lumière de l'instructeur
Mojtaba Ghasemi
Sénior scientifique de données
10 + années
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.
Michel Chamoun
Analyste d'affaires et science des données
5 années
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.
Sami Islam
Architecte technique senior de cloud
5 + années
Sami Islam possède plus de 10 ans d'expérience dans le secteur des technologies de l'information et du conseil, se spécialisant dans des solutions Cloud complètes. Grâce à son expertise en méthodologie Agile, il a dirigé de nombreux projets de transformation Cloud, y compris la migration, l'automatisation des pipelines CI/CD et les solutions d'entreposage de données. Sami détient plusieurs certifications, y compris Architecte Cloud Professionnel Google Cloud, Associé Architecte Solutions AWS et Certifications Azure.
Mojtaba Faramarzi
Scientifique de recherche appliquée
10 + années
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.
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Témoignanges d'étudiants
Témoignanges d'étudiants
Témoignanges d'étudiants
Prochaines sessions et horaires
Prochaines sessions et horaires
Prochaines sessions et horaires
Fall
Session d'automne
Talk to an Advisor
Fall
Session d'automne
Talk to an Advisor
Fall
Session d'automne
Talk to an Advisor
Winter
Session d'hiver
Talk to an Advisor
Winter
Session d'hiver
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Winter
Session d'hiver
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Summer
Session d'été
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Summer
Session d'été
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Summer
Session d'été
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FAQ
FAQ
FAQ
What are the benefits of taking this Microsoft AI Engineering program at MCIT?
What are the benefits of taking this Microsoft AI Engineering program at MCIT?
What career path can I pursue after completing this program?
What career path can I pursue after completing this program?
Who are the instructors for the Master Certificate in Machine Learning Systems & Data Engineering?
Who are the instructors for the Master Certificate in Machine Learning Systems & Data Engineering?
Can I join Master Certificate in Machine Learning Systems & Data Engineering if I have no technical background?
Can I join Master Certificate in Machine Learning Systems & Data Engineering if I have no technical background?
What support will I receive during the program?
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?
How do I enroll in the Microsoft AI Engineering program?
What are the benefits of taking this Microsoft AI Engineering program at MCIT?
What career path can I pursue after completing this program?
Who are the instructors for the Master Certificate in Machine Learning Systems & Data Engineering?
Can I join Master Certificate in Machine Learning Systems & Data Engineering if I have no technical background?
What support will I receive during the program?
How do I enroll in the Microsoft AI Engineering program?
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
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