Attestation of College Studies (ACS) LEA.CV
Attestation of College Studies (ACS) LEA.CV
Agentic AI Systems Engineering
Agentic AI Systems Engineering
Architect and deploy autonomous intelligence systems through a 6-month intensive Job-Ready Program.
Architect and deploy autonomous intelligence systems 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
This program is designed to equip technical professionals with the expertise to design, build, and validate intelligent autonomous systems. The learning journey progresses from foundational large language model (LLM) capabilities to advanced agentic architecture, covering single-agent and multi-agent frameworks, retrieval-augmented generation (RAG), and structured reasoning patterns.
As agentic artificial intelligence (AI) rapidly transitions from experimentation to enterprise deployment, the core challenge is no longer model access or prompting quality, but system orchestration, coordination, evaluation, and observability. Through live online sessions led by Montreal College of IT’s faculty, hands-on coding labs, and a structured capstone project, this program will help you build the technical proficiency required to bridge the gap between isolated experiments and resilient, real-world agentic AI systems. By the end of the program, you will be able to architect intelligent systems that scale, adapt, and perform reliably in practice.
This program is designed to equip technical professionals with the expertise to design, build, and validate intelligent autonomous systems. The learning journey progresses from foundational large language model (LLM) capabilities to advanced agentic architecture, covering single-agent and multi-agent frameworks, retrieval-augmented generation (RAG), and structured reasoning patterns.
As agentic artificial intelligence (AI) rapidly transitions from experimentation to enterprise deployment, the core challenge is no longer model access or prompting quality, but system orchestration, coordination, evaluation, and observability. Through live online sessions led by Montreal College of IT’s faculty, hands-on coding labs, and a structured capstone project, this program will help you build the technical proficiency required to bridge the gap between isolated experiments and resilient, real-world agentic AI systems. By the end of the program, you will be able to architect intelligent systems that scale, adapt, and perform reliably in practice.
Who Is this Program For?
Who Is this Program For?
This program is designed for technical professionals who are preparing for emerging responsibilities in agent-based AI systems and want to strengthen their applied, system-level capabilities. The program is particularly suitable for:
• AI and machine learning engineers
• Software engineers and developers
• Full-stack and backend engineers
• Data scientists and analytics professionals
Prerequisites: participants should have a working-level knowledge of Python, algorithm design, data structures, LLMs, and AI.
This program is designed for technical professionals who are preparing for emerging responsibilities in agent-based AI systems and want to strengthen their applied, system-level capabilities. The program is particularly suitable for:
• AI and machine learning engineers
• Software engineers and developers
• Full-stack and backend engineers
• Data scientists and analytics professionals
Prerequisites: participants should have a working-level knowledge of Python, algorithm design, data structures, LLMs, and AI.
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
Foundations of Agentic AI and LLM Capabilities
Establish a technical baseline by building your first autonomous agent. Develop a functional understanding of goals, perception, memory, and tool-use, while examining how foundational LLM reasoning enables autonomous behavior in complex systems.
Agent Architecture: Memory, Tools, and Reasoning Loops
Agent Architecture: Memory, Tools, and Reasoning Loops
RAG Agents and Vector Databases
RAG Agents and Vector Databases
Tree-of-Thought Reasoning and Multi-Agent Concepts (Part 1)
Tree-of-Thought Reasoning and Multi-Agent Concepts (Part 1)
Foundations of Agentic AI and LLM Capabilities
Establish a technical baseline by building your first autonomous agent. Develop a functional understanding of goals, perception, memory, and tool-use, while examining how foundational LLM reasoning enables autonomous behavior in complex systems.
Multi-Agent Workflows With CrewAI and LangGraph (Part 2)
Multi-Agent Workflows With CrewAI and LangGraph (Part 2)
Capstone Project: End-to-End Autonomous System
Capstone Project: End-to-End Autonomous System
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.
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.
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.
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Learning Outcomes
Learning Outcomes
⤑ Build autonomous agents that incorporate memory, tools, and structured reasoning.
⤑ Implement retrieval techniques using embeddings and vector databases to enhance agent outputs.
⤑ Design multi-agent workflows with defined roles and coordination logic.
⤑ Integrate external application programming interfaces (APIs) and tools to extend agent capabilities.
⤑ Apply evaluation and safety practices to improve agent reliability and performance.
⤑ Develop an agentic, autonomous AI system that addresses a real-world problem.
⤑ Build autonomous agents that incorporate memory, tools, and structured reasoning.
⤑ Implement retrieval techniques using embeddings and vector databases to enhance agent outputs.
⤑ Design multi-agent workflows with defined roles and coordination logic.
⤑ Integrate external application programming interfaces (APIs) and tools to extend agent capabilities.
⤑ Apply evaluation and safety practices to improve agent reliability and performance.
⤑ Develop an agentic, autonomous AI system that addresses a real-world problem.
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.
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.
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.
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.
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.
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.
Mario Armenti
ma
Montreal College has provided me with technical expertise that is critical in the technological industry. I love my progression and am thankful for my achievements due to their program and assistance. Within a year of my Diploma at MCI , I encountered over five offers from high profile companies. Despite a background in Business Management, I was able to adapt, owing to the expertise of the subject matter experts. Montreal College has provided me with technical expertise that is critical in the industry
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.
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.
Mario Armenti
ma
Montreal College has provided me with technical expertise that is critical in the technological industry. I love my progression and am thankful for my achievements due to their program and assistance. Within a year of my Diploma at MCI , I encountered over five offers from high profile companies. Despite a background in Business Management, I was able to adapt, owing to the expertise of the subject matter experts. Montreal College has provided me with technical expertise that is critical in the industry
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.
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.
Related Programs
Related Programs
Not sure this is the right fit?
Explore programs that complement or lead into Data Science.
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 Agentic AI Systems Engineering Program?
What is the Agentic AI Systems Engineering Program?
The Learning Experience & Logistics
The Learning Experience & Logistics
How can I learn about AI agents in a structured way?
How can I learn about AI agents in a structured way?
Is there a certification for Agentic AI?
Is there a certification for Agentic AI?
Does Agentic AI require formal training?
Does Agentic AI require formal training?
How is this course different from other AI agent courses?
How is this course different from other AI agent courses?
Is this program worth the investment?
Is this program worth the investment?
What kind of supplemental resources are provided?
What kind of supplemental resources are provided?
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