Attestation of College Studies (ACS) LEA.CV
Attestation of College Studies (ACS) LEA.CV
AI & Machine Learning Diploma
AI & Machine Learning Diploma
An Intensive Program in Artificial Intelligence and Machine Learning
An Intensive Program in Artificial Intelligence and Machine Learning
Build a deep, structured understanding of AI and machine learning through a 6-month intensive Job-Ready Program.
Build a deep, structured understanding of AI and machine learning through a 6-month intensive Job-Ready Program.
Next Live Cohort:
June 12, 2026
Next Cohort:
June 12, 2026
Register before May 20, 2026
Program Duration
6 Months
Class Schedule
Mon & Thu 18:00-20:00
Course Language
French & English
Format
Online Live Instructor-Led
Credential
Accredited
AEC Diploma
Program Duration
6 Months
Class Schedule
Mon & Thu 18:00-20:00
Course Language
French & English
Format
Online Live Instructor-Led
Credential
Accredited
AEC Diploma
Program Overview
Program Overview
The AI & Machine Learning Master Certificate is a six-month, instructor-led program designed to take learners with no prior experience through a structured and academically rigorous curriculum from foundational programming concepts to the cutting edge of generative AI. The learning journey is sequenced deliberately: participants begin with programming fundamentals and applied data science before advancing into supervised and unsupervised machine learning, deep learning architectures, and advanced generative models including image generation systems.
As artificial intelligence reshapes industries at an unprecedented pace, the demand for practitioners who understand both the theory and the applied implementation of these systems has never been greater. Through live instructor-led sessions, hands-on labs, and a structured portfolio-building capstone, this program equips graduates with the technical depth and practical evidence required to enter the field with confidence.
The AI & Machine Learning Master Certificate is a six-month, instructor-led program designed to take learners with no prior experience through a structured and academically rigorous curriculum from foundational programming concepts to the cutting edge of generative AI. The learning journey is sequenced deliberately: participants begin with programming fundamentals and applied data science before advancing into supervised and unsupervised machine learning, deep learning architectures, and advanced generative models including image generation systems.
As artificial intelligence reshapes industries at an unprecedented pace, the demand for practitioners who understand both the theory and the applied implementation of these systems has never been greater. Through live instructor-led sessions, hands-on labs, and a structured portfolio-building capstone, this program equips graduates with the technical depth and practical evidence required to enter the field with confidence.
Instructor-Led
Launch your tech career without quitting your job.
Earn a Ministry-recognized diploma from home with live evening classes designed for working professionals.
AT A GLANCE
Live Expert Sessions
Build skills faster through live, instructor-led sessions. Get real-time feedback and deepen your understanding with expert guidance.
24-7 Hands-On Labs
Access our cloud-based practice environments 24/7. Break things, fix them, and master industry-standard tools at your own pace
Job-Ready Portfolio
Focus on output. Apply what you learn immediately by building realistic projects.
diploma
Instructor-Led
Launch your tech career without quitting your job. Earn a Ministry-recognized diploma from home with live evening classes designed for working professionals.
AT A GLANCE
Live Expert Sessions
Build skills faster through live, instructor-led sessions. Get real-time feedback and deepen your understanding with expert guidance.
24-7 Hands-On Labs
Access our cloud-based practice environments 24/7. Break things, fix them, and master industry-standard tools at your own pace
Job-Ready Portfolio
Focus on output. Apply what you learn immediately by building realistic projects.
diploma
Upcoming Session Dates: 2026-2027
Choose your start date and begin your tech career transformation.
We accept applications at any time. Registration is open year-round.
Summer
Fall
Winter
Upcoming Session Dates: 2026-2027
Choose your start date and begin your tech career transformation.
We accept applications at any time. Registration is open year-round.
Summer
Fall
Winter
Course Outline
Course Outline
Citizens/Permanent residents of Quebec
Citizens/Permanent residents of Quebec
Financial support may be available:
Financial support may be available:
Quebec financial assistance for AEC Diplomas &
Flexible Payment Plans for other programs
Quebec financial assistance for AEC Diplomas &
Flexible Payment Plans for other programs
Citizens/Permanent residents of Quebec
Citizens/Permanent residents of Quebec
Financial support may be available:
Financial support may be available:
Partner Loans & MCIT Scholarships
Flexible Payment Plans
Partner Loans & MCIT Scholarships
Flexible Payment Plans
Citizens/Permanent residents of Quebec
Financial support may be available:
Quebec financial assistance for AEC Diplomas &
Flexible Payment Plans for other programs
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
Applied Data Science with Python
Applied Data Science with Python
Machine Learning and Deep Learning
Machine Learning and Deep Learning
Deep Learning Advance topic
Deep Learning Advance topic
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
Advanced Generative AI – Image Generation
Advanced Generative AI – Image Generation
Building a Data Science Portfolio
Building a Data Science Portfolio
Intructor spotlight
Intructor 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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Connect to Content
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Accredited Qualification
Accredited Qualification
This program awards a fully accredited Attestation of College Studies (ACS) from the Quebec Ministry of Higher Education, ensuring your training meets strict industry standards.
This program awards a fully accredited Attestation of College Studies (ACS) from the Quebec Ministry of Higher Education, ensuring your training meets strict industry standards.
Montreal College of
Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca
Instructor Spotlight
Learn
AI & Machine Learning
from
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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 scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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.
Student stories
Student stories
Career & Professional Development
Career & Professional Development
Comprehensive resources designed to transition you from the classroom to the workforce.
Comprehensive resources designed to transition you from the classroom to the workforce.
Networking Events
Networking Events
Financial Aid
Resume Preperation
Mentorship & Guidance:
Portfolio Preperation
Resume Preperation
Optimize your LinkedIn profile to attract recruiters and expand your professional network.
Mock Interviews
Practice real-world scenarios with mock interviews hosted by partner companies.Technical Interview Prep
Sharpen your problem-solving and technical communication skills with focused training.Behavioral Interview Coaching
Learn how to effectively communicate your experiences and ace HR-style interviews.
Resume preperation
Networking Events
Resume Preperation
interview Preperation
Portfolio
Preparation
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.
Fast Track Your Enrollment
Fast Track Your Enrollment
Our online application takes less than 10 minutes
Our online application takes less than 10 minutes
Scholarships
Financial Aid
Financial Aid
Admission
process
Eligibility
Admission Overview
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 - See requirements
Current resume
Two government-issued photo IDs
Step 3: Pay Application Fees
$50 application + $150 registration.
Step 4: Submit Your Application Form
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
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
Current resume (Mandatory)
Two government-issued photo IDs
Step 3: Pay Application Fees
$50 application + $150 registration.
Attend an infosession
Admission Process
Financial Aid
Scholarships
Scholarships
Admission process
Eligibility
New Immigrants
For students who arrived in Canada within the past two years.
Unemployed / Career Changers
For those laid off within the last six months and seeking a new career path.New Graduates
For recent post-secondary graduates (within the past two years).Merit-Based
For candidates with outstanding academic or professional achievements.
Scholarships
New to AI & Data Science?
Start Here.
New to AI & Data Science?
Start Here.
Breaking into data science requires more than just coding skills - it requires a strategy. Whether you are switching fields from finance or starting from scratch, our comprehensive guide breaks down exactly how to enter the industry, build a portfolio, and land your first role.
Breaking into data science requires more than just coding skills - it requires a strategy. Whether you are switching fields from finance or starting from scratch, our comprehensive guide breaks down exactly how to enter the industry, build a portfolio, and land your first role.
FAQs
Got questions or need advice?
You don't have to figure it out alone. Schedule a quick chat with our admissions team.
You don't have to figure it out alone. Schedule a quick chat with our admissions team.
FAQs
What is the AI & Machine Learning Diploma?
What is the AI & Machine Learning Diploma?
What is the difference between AI, machine learning, and deep learning?
What is the difference between AI, machine learning, and deep learning?
How can I learn AI and machine learning in a structured way?
How can I learn AI and machine learning in a structured way?
Do I need a background in programming or mathematics to enrol?
Do I need a background in programming or mathematics to enrol?
How is this program different from other AI and machine learning courses?
How is this program different from other AI and machine learning courses?
Learning Experience
Learning Experience
Can I switch careers into AI without a degree?
Can I switch careers into AI without a degree?
What jobs can I get after an AI and machine learning diploma?
What jobs can I get after an AI and machine learning diploma?
How does this diploma prepare me for the era of agentic AI?
How does this diploma prepare me for the era of agentic AI?
Ready to land a job
you’ll love?
At MCIT, progress shows up when you do. We're here to guide you from where you are to where you deserve to be.
Apply today and get the learning and resources you need to help you prepare for a job in tech.
Ready to land a job
you’ll love?
At MCIT, progress shows up when you do. We're here to guide you from where you are to where you deserve to be.
Apply today and get the learning and resources you need to help you prepare for a job in tech.
Montreal College of Information Technology
Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca