Master Certificate in Deep Learning and Generative AI
Master Certificate in Deep Learning and Generative AI
Master Certificate in Deep Learning and Generative AI
Build AI-driven solutions by mastering Python, SQL, data analysis, and visualization with Pandas and NumPy
Develop and deploy machine learning and deep learning models using TensorFlow, Keras, and PyTorch.
Learn generative AI, prompt engineering, and large language models like ChatGPT to transform data and drive predictive analytics.
Parlez à un conseiller
Parlez à un conseiller
Parlez à un conseiller
Durée:
6 mois
Durée:
6 mois
Durée:
6 mois
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 mois
Durée:
6 mois
Durée:
6 mois
Durée:
Aperçu du programme
Aperçu du programme
Aperçu du programme
Explore essential topics such as Python, machine learning, deep learning, NLP, data visualization, generative AI, explainable AI, and ChatGPT through an interactive learning approach. Gain immersive hands-on experience with expert-guided labs designed to deepen your understanding and build practical skills.
Plan de cours
Plan de cours
Plan de cours
Embark on a comprehensive learning journey that covers generative AI, prompt engineering, Python, data analysis, machine learning, and deep learning. Through hands-on projects and real-world tools, you’ll develop practical skills to confidently address complex AI challenges and drive innovation in your career.
Téléchargez le plan
Programming Fundamentals
Develop core Python programming skills that serve as the foundation for your data science journey. Learn to work with procedural and object-oriented programming, loops, functions, and multi-threading to build scalable and efficient applications.
Concepts Learned:
Fundamentals of Python programming
Procedural and object-oriented principles
Data types, operators, and string functions
Loops, conditional statements, and variable scope
Working with Jupyter Notebook environments
APTITUDES
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APTITUDES
……………………..
Programming Fundamentals
Develop core Python programming skills that serve as the foundation for your data science journey. Learn to work with procedural and object-oriented programming, loops, functions, and multi-threading to build scalable and efficient applications.
Concepts Learned:
Fundamentals of Python programming
Procedural and object-oriented principles
Data types, operators, and string functions
Loops, conditional statements, and variable scope
Working with Jupyter Notebook environments
APTITUDES
……………………..
Programming Fundamentals
Develop core Python programming skills that serve as the foundation for your data science journey. Learn to work with procedural and object-oriented programming, loops, functions, and multi-threading to build scalable and efficient applications.
Concepts Learned:
Fundamentals of Python programming
Procedural and object-oriented principles
Data types, operators, and string functions
Loops, conditional statements, and variable scope
Working with Jupyter Notebook environments
APTITUDES
……………………..
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APTITUDES
……………………..
Applied Data Science with Python
Gain a strong foundation in data science using Python. Learn data preparation, statistical analysis, visualization, and model building through real-world scenarios.
Concepts Learned:
Core principles of data science and analytics
Python essentials for data analysis (strings, lists, Lambda functions)
Data manipulation and wrangling with Pandas
Data visualization using Matplotlib, Seaborn, and Plotly
End-to-end statistical analysis pipelines
APTITUDES
……………………..
Applied Data Science with Python
Gain a strong foundation in data science using Python. Learn data preparation, statistical analysis, visualization, and model building through real-world scenarios.
Concepts Learned:
Core principles of data science and analytics
Python essentials for data analysis (strings, lists, Lambda functions)
Data manipulation and wrangling with Pandas
Data visualization using Matplotlib, Seaborn, and Plotly
End-to-end statistical analysis pipelines
APTITUDES
……………………..
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APTITUDES
……………………..
Machine Learning and Deep Learning
Learn the core concepts of machine learning, including supervised and unsupervised models, the ML pipeline, and ensemble techniques. Gain hands-on experience with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Supervised learning: regression and classification
Ensemble learning: bagging, boosting, stacking
Overfitting, underfitting, and model evaluation
Artificial and deep neural networks
Forward and backward propagation in DNNs
Hyperparameter tuning and performance optimization
Convolutional neural networks (CNNs) for vision tasks
Deep learning model implementation on TensorFlow and PyTorch.
APTITUDES
……………………..
Machine Learning and Deep Learning
Learn the core concepts of machine learning, including supervised and unsupervised models, the ML pipeline, and ensemble techniques. Gain hands-on experience with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Supervised learning: regression and classification
Ensemble learning: bagging, boosting, stacking
Overfitting, underfitting, and model evaluation
Artificial and deep neural networks
Forward and backward propagation in DNNs
Hyperparameter tuning and performance optimization
Convolutional neural networks (CNNs) for vision tasks
Deep learning model implementation on TensorFlow and PyTorch.
APTITUDES
……………………..
Machine Learning and Deep Learning
Learn the core concepts of machine learning, including supervised and unsupervised models, the ML pipeline, and ensemble techniques. Gain hands-on experience with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Supervised learning: regression and classification
Ensemble learning: bagging, boosting, stacking
Overfitting, underfitting, and model evaluation
Artificial and deep neural networks
Forward and backward propagation in DNNs
Hyperparameter tuning and performance optimization
Convolutional neural networks (CNNs) for vision tasks
Deep learning model implementation on TensorFlow and PyTorch.
APTITUDES
……………………..
Deep Learning Advance topic
Build literacy in Generative AI by exploring core algorithms and their applications. Learn how LLMs, GANs, and VAEs power chatbots, content generation, and creative AI tools.
Concepts Learned:
Autoencoders and model interpretability
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Transformer models for NLP and Vision
Tools and frameworks for GenAI experimentation
APTITUDES
……………………..
Deep Learning Advance topic
Build literacy in Generative AI by exploring core algorithms and their applications. Learn how LLMs, GANs, and VAEs power chatbots, content generation, and creative AI tools.
Concepts Learned:
Autoencoders and model interpretability
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Transformer models for NLP and Vision
Tools and frameworks for GenAI experimentation
APTITUDES
……………………..
Deep Learning Advance topic
Build literacy in Generative AI by exploring core algorithms and their applications. Learn how LLMs, GANs, and VAEs power chatbots, content generation, and creative AI tools.
Concepts Learned:
Autoencoders and model interpretability
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Transformer models for NLP and Vision
Tools and frameworks for GenAI experimentation
APTITUDES
……………………..
Advanced Generative AI – Image Generation
Explore advanced image generation capabilities in GenAI. Master stable diffusion, denoising, embedding systems, and contrastive learning to create high-quality and context-aware visuals.
Concepts Learned:
Stable Diffusion techniques
Denoising methods for clarity and coherence
Shared embedding systems for image representation
Contrastive learning for model performance
Autoencoders in generative image workflows
APTITUDES
……………………..
Advanced Generative AI – Image Generation
Explore advanced image generation capabilities in GenAI. Master stable diffusion, denoising, embedding systems, and contrastive learning to create high-quality and context-aware visuals.
Concepts Learned:
Stable Diffusion techniques
Denoising methods for clarity and coherence
Shared embedding systems for image representation
Contrastive learning for model performance
Autoencoders in generative image workflows
APTITUDES
……………………..
Advanced Generative AI – Image Generation
Explore advanced image generation capabilities in GenAI. Master stable diffusion, denoising, embedding systems, and contrastive learning to create high-quality and context-aware visuals.
Concepts Learned:
Stable Diffusion techniques
Denoising methods for clarity and coherence
Shared embedding systems for image representation
Contrastive learning for model performance
Autoencoders in generative image workflows
APTITUDES
……………………..
Generative AI Governance
Understand the ethical, regulatory, and governance aspects of Generative AI. Learn how to integrate governance frameworks, manage risks, and ensure compliance in AI projects.
Concepts Learned:
Ethical frameworks and AI principles
Governance structures and best practices
Risk management in AI projects
Lifecycle governance for data and models
Future trends in AI regulation and compliance
APTITUDES
……………………..
Generative AI Governance
Understand the ethical, regulatory, and governance aspects of Generative AI. Learn how to integrate governance frameworks, manage risks, and ensure compliance in AI projects.
Concepts Learned:
Ethical frameworks and AI principles
Governance structures and best practices
Risk management in AI projects
Lifecycle governance for data and models
Future trends in AI regulation and compliance
APTITUDES
……………………..
Generative AI Governance
Understand the ethical, regulatory, and governance aspects of Generative AI. Learn how to integrate governance frameworks, manage risks, and ensure compliance in AI projects.
Concepts Learned:
Ethical frameworks and AI principles
Governance structures and best practices
Risk management in AI projects
Lifecycle governance for data and models
Future trends in AI regulation and compliance
APTITUDES
……………………..
Building a Data Science Portfolio
Capstone projects are the best way to turn your learning into tangible results. Throughout this program, you’ll complete multiple hands-on projects that allow you to practice the full data science workflow—from collecting and cleaning data to building models, generating insights, and presenting your findings.
These projects are designed to help you:
Apply real-world skills in Python, data analysis, machine learning, and visualization
Solve practical business problems using data-driven approaches
Demonstrate your abilities to potential employers through a portfolio of completed work
Gain confidence in handling data projects independently
By the end of this module, you’ll have a portfolio of capstone projects that not only reflects your technical expertise but also shows your problem-solving skills and readiness for a professional data science role.
APTITUDES
……………………..
Building a Data Science Portfolio
Capstone projects are the best way to turn your learning into tangible results. Throughout this program, you’ll complete multiple hands-on projects that allow you to practice the full data science workflow—from collecting and cleaning data to building models, generating insights, and presenting your findings.
These projects are designed to help you:
Apply real-world skills in Python, data analysis, machine learning, and visualization
Solve practical business problems using data-driven approaches
Demonstrate your abilities to potential employers through a portfolio of completed work
Gain confidence in handling data projects independently
By the end of this module, you’ll have a portfolio of capstone projects that not only reflects your technical expertise but also shows your problem-solving skills and readiness for a professional data science role.
APTITUDES
……………………..
Building a Data Science Portfolio
Capstone projects are the best way to turn your learning into tangible results. Throughout this program, you’ll complete multiple hands-on projects that allow you to practice the full data science workflow—from collecting and cleaning data to building models, generating insights, and presenting your findings.
These projects are designed to help you:
Apply real-world skills in Python, data analysis, machine learning, and visualization
Solve practical business problems using data-driven approaches
Demonstrate your abilities to potential employers through a portfolio of completed work
Gain confidence in handling data projects independently
By the end of this module, you’ll have a portfolio of capstone projects that not only reflects your technical expertise but also shows your problem-solving skills and readiness for a professional data science role.
APTITUDES
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APTITUDES
……………………..
APTITUDES
……………………..
APTITUDES
……………………..
APTITUDES
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APTITUDES
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APTITUDES
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Capstone Project
Put your knowledge into practice with a comprehensive real-world project. Apply the full data science and GenAI pipeline — from data preparation to predictive modeling and presentation.
Concepts Learned:
Problem definition and scoping
Data collection and preparation
Exploratory data analysis and visualization
Model building, training, and evaluation
Generative AI model integration
Storytelling and presentation of results
APTITUDES
……………………..
Capstone Project
Put your knowledge into practice with a comprehensive real-world project. Apply the full data science and GenAI pipeline — from data preparation to predictive modeling and presentation.
Concepts Learned:
Problem definition and scoping
Data collection and preparation
Exploratory data analysis and visualization
Model building, training, and evaluation
Generative AI model integration
Storytelling and presentation of results
APTITUDES
……………………..
Applied Data Science with Python
Applied Data Science with Python
Applied Data Science with Python
Machine Learning and Deep Learning
Machine Learning and Deep Learning
Machine Learning and Deep Learning
Deep Learning Advance topic
Deep Learning Advance topic
Deep Learning Advance topic
Advanced Generative AI – Image Generation
Advanced Generative AI – Image Generation
Advanced Generative AI – Image Generation
Generative AI Governance
Generative AI Governance
Generative AI Governance
Building a Data Science Portfolio
Building a Data Science Portfolio
Building a Data Science Portfolio
Capstone Project
Capstone Project
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 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.
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.
Iraj Hedayati
Chef de l'ingénierie data
Iraj Hedayati est un ingénieur en données, chevronné avec plus de dix ans d’expérience dans la conception et la mise à l’échelle d’infrastructures de données au sein d’entreprises technologiques en forte croissance. Il travaille actuellement comme consultant chez Apple, où il se spécialise dans les systèmes distribués, Apache Spark et le développement backend. Iraj enseigne des cours en ingénierie des données axés sur des applications concrètes en traitement de Big Data, infrastructures infonuagiques et pipelines de données modernes.
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 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.
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.
Iraj Hedayati
Chef de l'ingénierie data
15 + années
Iraj Hedayati est un ingénieur en données, chevronné avec plus de dix ans d’expérience dans la conception et la mise à l’échelle d’infrastructures de données au sein d’entreprises technologiques en forte croissance. Il travaille actuellement comme consultant chez Apple, où il se spécialise dans les systèmes distribués, Apache Spark et le développement backend. Iraj enseigne des cours en ingénierie des données axés sur des applications concrètes en traitement de Big Data, infrastructures infonuagiques et pipelines de données modernes.
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Témoignanges d'étudiants
Témoignanges d'étudiants
Témoignanges d'étudiants
Jyothi Puthulatha
jpl
Le CTIM a fait des merveilles pour moi, car j’ai appris à appliquer les techniques acquises ici dans mon domaine de travail. J’ai beaucoup apprécié fréquenter cet institutition, qui m’a grandement aidé à réussir ma carrière. J’ai trouvé un emploi intéressant après avoir obtenu mon diplôme en tests de logiciels et assurance qualité au CTIM.
Jyothi Gogna
J'ai obtenu mon diplôme A.E.C en test de logiciels au CTIM. J'étais eun étudiante internationale qui a beaucoup appris de ce programme et j'ai trouvé un emploi en tant qu'analyste en assurance qualité en automatisation. Je dirais que toutes les compétences techniques que j'ai apprises dans ce cours m'ont beaucoup aidé à atteindre mes objectifs de carrière.
Ricardo Gomez
rg
Je suis avocat au Brésil et titulaire d’un diplôme en droit. Ce qui m’a amené au CTIM, c’est ma déception envers un autre établissement auparavant. J’ai réalisé qu’en tant qu’homme de 40 ans en quête d’un changement de carrière, le CTIM m’a mis très à l’aise. Ce fut le début d’un rêve : celui de reconstruire ma vie.
Jyothi Puthulatha
jpl
Le CTIM a fait des merveilles pour moi, car j’ai appris à appliquer les techniques acquises ici dans mon domaine de travail. J’ai beaucoup apprécié fréquenter cet institutition, qui m’a grandement aidé à réussir ma carrière. J’ai trouvé un emploi intéressant après avoir obtenu mon diplôme en tests de logiciels et assurance qualité au CTIM.
Jyothi Gogna
J'ai obtenu mon diplôme A.E.C en test de logiciels au CTIM. J'étais eun étudiante internationale qui a beaucoup appris de ce programme et j'ai trouvé un emploi en tant qu'analyste en assurance qualité en automatisation. Je dirais que toutes les compétences techniques que j'ai apprises dans ce cours m'ont beaucoup aidé à atteindre mes objectifs de carrière.
Ricardo Gomez
rg
Je suis avocat au Brésil et titulaire d’un diplôme en droit. Ce qui m’a amené au CTIM, c’est ma déception envers un autre établissement auparavant. J’ai réalisé qu’en tant qu’homme de 40 ans en quête d’un changement de carrière, le CTIM m’a mis très à l’aise. Ce fut le début d’un rêve : celui de reconstruire ma vie.
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
Jan 13, 2026
Register Before
Dec 16, 2025
Winter
Session d'hiver
Jan 13, 2026
Register Before
Dec 16, 2025
Winter
Session d'hiver
Jan 13, 2026
Register Before
Dec 16, 2025
Summer
Session d'été
No date
Register Before
Summer
Session d'été
No date
Register Before
Summer
Session d'été
No date
Register Before
FAQ
FAQ
FAQ
Master Certificate in Data Science and Generative AI
Master Certificate in Data Science and Generative AI
Master Certificate in Data Science and Generative AI
Master Certificate in Data Science and Generative AI
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