Master Certificate in Data Science and Generative AI
Master Certificate in Data Science and Generative AI
Fast Track Your Career
Fast Track Your Career
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
Duration
6 months
Duration
6 months
Duration
6 months
Start Date
Registration Deadline
Start Date
Registration Deadline
Start Date
Registration Deadline
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.
Choose How You Learn
We’ve designed flexible learning formats to fit different student needs, learning styles, and budgets - giving you the freedom to choose how you want to build your career.
Step 1: Choose Your Career Path
Features:
Meet with the program director
Complete a Skill assessment
Begin with introductory and prerequisite courses
Price:
starting as low as 499 $ - credited towards tuition
Confirmation of admission into the diploma program
Instructor-Led (Online Live Classes)
Features:
Live online workshops classes led by experienced instructors
Interactive discussions, direct Q&A, and peer collaboration, customized labs and group projects
1:1 mentor support for career alignment
Job-readiness workshops (resume, interview prep, consulting exposure)
Price:
Diploma Program | call us
*Apply for Scholarship towards the tuition fees
Course Outline
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:
Python programming syntax and structure
Procedural vs. object-oriented programming
Functions, variables, and scope
Data types, operators, and string handling
Conditional statements and loops
Multi-threading for efficient execution
Best practices with identifiers, indentation, and comments
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
……………………..
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:
Python programming syntax and structure
Procedural vs. object-oriented programming
Functions, variables, and scope
Data types, operators, and string handling
Conditional statements and loops
Multi-threading for efficient execution
Best practices with identifiers, indentation, and comments
SKILLS GAINED
……………………..
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
SKILLS GAINED
……………………..
Data Management using SQL
Acquire the skills to query, manage, and secure relational databases with SQL. Learn to create, manipulate, and optimize data while ensuring reliability and scalability for enterprise-grade applications.
Concepts Learned:
SQL statements and query design
Filtering, ordering, and grouping commands
Joins, subqueries, and views
Stored procedures and transactions
Mathematical, string, and date functions
Indexing and backup strategies
User access control and database security
SKILLS GAINED
……………………..
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
SKILLS GAINED
……………………..
Python for Data Science
Learn to use Python as a powerful tool for data science. Build scripts, manipulate datasets, and work in Jupyter environments to perform real-world data analysis.
Concepts Learned:
Python programming for data science workflows
Lists, sets, dictionaries, objects, and classes
File handling and I/O operations
Data manipulation with Pandas
Working with NumPy arrays
SKILLS GAINED
……………………..
Python for Data Science
Learn to use Python as a powerful tool for data science. Build scripts, manipulate datasets, and work in Jupyter environments to perform real-world data analysis.
Concepts Learned:
Python programming for data science workflows
Lists, sets, dictionaries, objects, and classes
File handling and I/O operations
Data manipulation with Pandas
Working with NumPy arrays
SKILLS GAINED
……………………..
Applied Data Science with Python
Master the data science pipeline, from data preparation to model evaluation. Learn statistics, hypothesis testing, and visualization while applying Python libraries to solve practical data challenges.
Concepts Learned:
NumPy and Pandas for data manipulation
Linear algebra and calculus applications
Statistical concepts: central tendency, dispersion, skewness, covariance
Probability distributions and hypothesis testing (Z-test, T-test, ANOVA)
Data wrangling and preprocessing techniques
Visualization with Matplotlib, Seaborn, Plotly, and Bokeh
SKILLS GAINED
……………………..
Applied Data Science with Python
Master the data science pipeline, from data preparation to model evaluation. Learn statistics, hypothesis testing, and visualization while applying Python libraries to solve practical data challenges.
Concepts Learned:
NumPy and Pandas for data manipulation
Linear algebra and calculus applications
Statistical concepts: central tendency, dispersion, skewness, covariance
Probability distributions and hypothesis testing (Z-test, T-test, ANOVA)
Data wrangling and preprocessing techniques
Visualization with Matplotlib, Seaborn, Plotly, and Bokeh
SKILLS GAINED
……………………..
Machine Learning
Explore supervised, unsupervised, and ensemble learning techniques to build predictive and recommendation systems. Learn to manage ML pipelines and implement models with modern frameworks.
Concepts Learned:
Supervised learning: regression and classification models
Unsupervised learning and clustering
Ensemble techniques: bagging, boosting, stacking
Machine Learning Operations (MLOps)
Recommendation engines with PyTorch
Overfitting, underfitting, and model optimization
SKILLS GAINED
……………………..
Machine Learning
Explore supervised, unsupervised, and ensemble learning techniques to build predictive and recommendation systems. Learn to manage ML pipelines and implement models with modern frameworks.
Concepts Learned:
Supervised learning: regression and classification models
Unsupervised learning and clustering
Ensemble techniques: bagging, boosting, stacking
Machine Learning Operations (MLOps)
Recommendation engines with PyTorch
Overfitting, underfitting, and model optimization
SKILLS GAINED
……………………..
Deep Learning Specialization
Dive deep into neural networks and modern deep learning techniques. Learn CNNs, RNNs, transformers, and autoencoders while gaining hands-on skills with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Neural networks and deep neural architectures
Forward and backward propagation
Hyperparameter tuning and interpretability
CNNs for computer vision and object detection
RNNs and sequence modeling
Transformers for NLP tasks
Autoencoders for dimensionality reduction
SKILLS GAINED
……………………..
Deep Learning Specialization
Dive deep into neural networks and modern deep learning techniques. Learn CNNs, RNNs, transformers, and autoencoders while gaining hands-on skills with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Neural networks and deep neural architectures
Forward and backward propagation
Hyperparameter tuning and interpretability
CNNs for computer vision and object detection
RNNs and sequence modeling
Transformers for NLP tasks
Autoencoders for dimensionality reduction
SKILLS GAINED
……………………..
Essentials of Generative AI, Prompt Engineering & ChatGPT
Learn the foundations of Generative AI with a focus on ChatGPT and conversational AI systems. Explore prompt engineering, explainable AI, and responsible adoption of GenAI across industries.
Concepts Learned:
Generative AI principles and model types
ChatGPT and large language model architectures
Prompt engineering strategies
Explainable AI and transparency in GenAI
Conversational AI applications
Fine-tuning GenAI models for personalization
Ethical implications and responsible AI practices
SKILLS GAINED
……………………..
Essentials of Generative AI, Prompt Engineering & ChatGPT
Learn the foundations of Generative AI with a focus on ChatGPT and conversational AI systems. Explore prompt engineering, explainable AI, and responsible adoption of GenAI across industries.
Concepts Learned:
Generative AI principles and model types
ChatGPT and large language model architectures
Prompt engineering strategies
Explainable AI and transparency in GenAI
Conversational AI applications
Fine-tuning GenAI models for personalization
Ethical implications and responsible AI practices
SKILLS GAINED
……………………..
Generative AI for Data Professionals
Harness generative AI to optimize the data science lifecycle. Learn how to generate, prepare, and query data while building predictive and exploratory models using GenAI tools.
Concepts Learned:
Types of generative AI models and applications
Generative AI in data preparation and augmentation
Exploratory Data Analysis (EDA) with GenAI
Predictive modeling techniques using AI augmentation
Visualization and model building with AI tools
Industry-specific applications of GenAI
SKILLS GAINED
……………………..
Generative AI for Data Professionals
Harness generative AI to optimize the data science lifecycle. Learn how to generate, prepare, and query data while building predictive and exploratory models using GenAI tools.
Concepts Learned:
Types of generative AI models and applications
Generative AI in data preparation and augmentation
Exploratory Data Analysis (EDA) with GenAI
Predictive modeling techniques using AI augmentation
Visualization and model building with AI tools
Industry-specific applications of GenAI
SKILLS GAINED
……………………..
Generative AI Skills for Data Scientists
Advance your data science expertise with IBM’s GenAI module. Get hands-on with GANs, VAEs, and other generative models for data preparation, augmentation, and predictive analytics.
Concepts Learned:
GANs, VAEs, and generative model architectures
Generative AI in predictive modeling
Augmenting data pipelines with AI
Practical applications of GenAI tools
Ethical considerations in data-focused GenAI
SKILLS GAINED
……………………..
Generative AI Skills for Data Scientists
Advance your data science expertise with IBM’s GenAI module. Get hands-on with GANs, VAEs, and other generative models for data preparation, augmentation, and predictive analytics.
Concepts Learned:
GANs, VAEs, and generative model architectures
Generative AI in predictive modeling
Augmenting data pipelines with AI
Practical applications of GenAI tools
Ethical considerations in data-focused GenAI
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
……………………..
Data Management using SQL
Acquire the skills to query, manage, and secure relational databases with SQL. Learn to create, manipulate, and optimize data while ensuring reliability and scalability for enterprise-grade applications.
Concepts Learned:
SQL statements and query design
Filtering, ordering, and grouping commands
Joins, subqueries, and views
Stored procedures and transactions
Mathematical, string, and date functions
Indexing and backup strategies
User access control and database security
SKILLS GAINED
Python for Data Science
Learn to use Python as a powerful tool for data science. Build scripts, manipulate datasets, and work in Jupyter environments to perform real-world data analysis.
Concepts Learned:
Python programming for data science workflows
Lists, sets, dictionaries, objects, and classes
File handling and I/O operations
Data manipulation with Pandas
Working with NumPy arrays
SKILLS GAINED
Applied Data Science with Python
Master the data science pipeline, from data preparation to model evaluation. Learn statistics, hypothesis testing, and visualization while applying Python libraries to solve practical data challenges.
Concepts Learned:
NumPy and Pandas for data manipulation
Linear algebra and calculus applications
Statistical concepts: central tendency, dispersion, skewness, covariance
Probability distributions and hypothesis testing (Z-test, T-test, ANOVA)
Data wrangling and preprocessing techniques
Visualization with Matplotlib, Seaborn, Plotly, and Bokeh
SKILLS GAINED
Machine Learning
Explore supervised, unsupervised, and ensemble learning techniques to build predictive and recommendation systems. Learn to manage ML pipelines and implement models with modern frameworks.
Concepts Learned:
Supervised learning: regression and classification models
Unsupervised learning and clustering
Ensemble techniques: bagging, boosting, stacking
Machine Learning Operations (MLOps)
Recommendation engines with PyTorch
Overfitting, underfitting, and model optimization
SKILLS GAINED
Deep Learning Specialization
Dive deep into neural networks and modern deep learning techniques. Learn CNNs, RNNs, transformers, and autoencoders while gaining hands-on skills with TensorFlow, Keras, and PyTorch.
Concepts Learned:
Neural networks and deep neural architectures
Forward and backward propagation
Hyperparameter tuning and interpretability
CNNs for computer vision and object detection
RNNs and sequence modeling
Transformers for NLP tasks
Autoencoders for dimensionality reduction
SKILLS GAINED
Essentials of Generative AI, Prompt Engineering & ChatGPT
Learn the foundations of Generative AI with a focus on ChatGPT and conversational AI systems. Explore prompt engineering, explainable AI, and responsible adoption of GenAI across industries.
Concepts Learned:
Generative AI principles and model types
ChatGPT and large language model architectures
Prompt engineering strategies
Explainable AI and transparency in GenAI
Conversational AI applications
Fine-tuning GenAI models for personalization
Ethical implications and responsible AI practices
SKILLS GAINED
Generative AI for Data Professionals
Harness generative AI to optimize the data science lifecycle. Learn how to generate, prepare, and query data while building predictive and exploratory models using GenAI tools.
Concepts Learned:
Types of generative AI models and applications
Generative AI in data preparation and augmentation
Exploratory Data Analysis (EDA) with GenAI
Predictive modeling techniques using AI augmentation
Visualization and model building with AI tools
Industry-specific applications of GenAI
SKILLS GAINED
Generative AI Skills for Data Scientists
Advance your data science expertise with IBM’s GenAI module. Get hands-on with GANs, VAEs, and other generative models for data preparation, augmentation, and predictive analytics.
Concepts Learned:
GANs, VAEs, and generative model architectures
Generative AI in predictive modeling
Augmenting data pipelines with AI
Practical applications of GenAI tools
Ethical considerations in data-focused GenAI
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
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
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
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
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
Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst (LEA.CV)
-900 hrs-
Instructor Spotlight
Mojtaba Ghasemi
Senior Data Scientist
10 + Years
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional 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.
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.
Sami Islam
Senior Cloud Technical Architect
5 + Years
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Intructor spotlight
Mojtaba Ghasemi
Senior Data Scientist
10 + Years
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional 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.
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.
Sami Islam
Senior Cloud Technical Architect
5 + Years
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Connect to Content
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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
Apply Early
Oct 13, 2025
Register Before
Sep 15, 2025
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Oct 13, 2025
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Sep 15, 2025
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Jan 13, 2026
Register Before
Dec 16, 2025
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Jan 13, 2026
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Dec 16, 2025
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Apr 13, 2026
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Mar 16, 2026
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Mar 16, 2026
FAQs
FAQs
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
+1 514 405 6874
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874