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.
Talk to an Advisor
Talk to an Advisor
Talk to an Advisor
Duration
6 months
Duration
6 months
Duration
6 months
Program Duration
10 months
Start Date
Application closes on:
Start Date
Registration Deadline
Start Date
Registration Deadline
Start Date
Registration Deadline
Duration
6 months
Duration
6 months
Duration
6 months
Learning Format
Program Overview
Program Overview
Program Overview
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.
Course Outline
Course Outline
Course Outline
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.
Download Outline
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
SKILLS GAINED
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SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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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
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
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.
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
SKILLS GAINED
……………………..
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
How to Apply
How to Apply
How to Apply
Scholarships
Financial Aid
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
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
Reach us
Reach us
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
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
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
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
Become job ready
Become job ready
Become job ready
Networking Events
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
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
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
Instructor Spotlight
Mojtaba Faramarzi
Applied Research Scientist
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.
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.
Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst (LEA.CV)
-900 hrs-
Intructor spotlight
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.
Mojtaba Ghasemi
Senior Data Scientist
10 + Years
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
15 +Years
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.
Connect to Content
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Student stories
Student stories
Student stories
Jyothi Puthulatha
jpl
The Institute did wonders for me because I learnt how to apply these techniques which I learned at the Institute to my working field. I enjoyed a lot going to this institute and it was a great help for me to successful in my career. I find a decent job after getting the certification in Software Testing and Quality Assurance from MCIT.
Jyothi Gogna
I did my A.E.C Diploma in Software Testing from Montreal College of Information Technology. I was an International Student that learned a lot from this program and I got a job as an Quality Assurance Analyst in Automation. I would say that all the technical skills and techniques that I learned from this course helped me a lot in achieving my career goals.
Ricardo Gomez
rg
am an Attorney from Brazil with a Law Degree.What brought me to Montreal College was my dissatisfaction with another college earlier. I realised as a 40 year old guy looking for a career change, MCIT made me feel very comfortable. It was the beginning of a dream of rebuilding my life.
Jyothi Puthulatha
jpl
The Institute did wonders for me because I learnt how to apply these techniques which I learned at the Institute to my working field. I enjoyed a lot going to this institute and it was a great help for me to successful in my career. I find a decent job after getting the certification in Software Testing and Quality Assurance from MCIT.
Jyothi Gogna
I did my A.E.C Diploma in Software Testing from Montreal College of Information Technology. I was an International Student that learned a lot from this program and I got a job as an Quality Assurance Analyst in Automation. I would say that all the technical skills and techniques that I learned from this course helped me a lot in achieving my career goals.
Ricardo Gomez
rg
am an Attorney from Brazil with a Law Degree.What brought me to Montreal College was my dissatisfaction with another college earlier. I realised as a 40 year old guy looking for a career change, MCIT made me feel very comfortable. It was the beginning of a dream of rebuilding my life.
Program Cohorts
Upcoming sessions
& Schedule
Upcoming sessions
& Schedule
Fall
Apply Early
Talk to an Advisor
Fall
Apply Early
Talk to an Advisor
Fall
Apply Early
Talk to an Advisor
Winter
Apply Early
Jan 13, 2026
Register Before
Dec 16, 2025
Winter
Apply Early
Jan 13, 2026
Register Before
Dec 16, 2025
Winter
Apply Early
Jan 13, 2026
Register Before
Dec 16, 2025
Summer
Apply Early
Apr 13, 2026
Register Before
Mar 16, 2026
Summer
Apply Early
Apr 13, 2026
Register Before
Mar 16, 2026
Summer
Apply Early
Apr 13, 2026
Register Before
Mar 16, 2026
FAQs
FAQs
FAQs
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
Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383