Master Certificate in Applied Generative AI Be Job-Ready with Our Web Development Program

Enroll

About

Programs

Events

Admissions

Select Language

Master Certificate in Applied Generative AI

Fast Track Your Career

Design, Build, and Deploy Next-Generation AI Applications with Industry-Leading Tools

Master LLMs, prompt engineering, and agentic AI frameworks
Gain hands-on experience with tools like ChatGPT, LangChain, and Stable Diffusion
Build a portfolio of real-world AI projects to accelerate your career

Talk to an Advisor

Home

Programs

Master Certificate in Applied Generative AI

Duration

5 months

Duration

5 months

Duration

5 months

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Start Date

Oct 13, 2025

Registration Deadline

Sep 15, 2025

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Events

Attend an

<<Info session>>

Program Overview

Master applied generative AI by developing AI-powered applications using industry-standard tools and frameworks. Gain hands-on experience with prompt engineering, GANs, VAEs, and large language models (LLMs). Advance your skills in agentic AI, LLM fine-tuning, retrieval-augmented generation (RAG), and AI governance for practical, real-world deployment.

Work on industry projects and a capstone to build a job-ready portfolio. Learn to use cutting-edge tools like ChatGPT, Azure AI Studio, and LangChain while gaining access to a supportive community and career resources that help you launch and grow your AI career.

Enroll

5 months

Contact an advisor

Oct 13, 2025

Tuition Fee

Duration

Start Date

Oct 13, 2025

Duration

5 months

Tuition Fee

Contact The Advisor

Enroll

Start Date

Oct 13, 2025

Duration

5 months

Tuition Fee

Contact The Advisor

Enroll

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

Explore our Applied Generative AI program to master practical skills for deploying generative AI in real-world scenarios. Learn essential concepts like prompt engineering, large language model (LLM) architecture, transformers, and agentic AI. Gain hands-on experience building LLM applications, fine-tuning models, and applying AI governance best practices using industry-leading tools such as ChatGPT, LangChain, and Azure AI Studio.

Download Outline

Python Fundamentals

Build essential Python programming skills to form the foundation for AI and machine learning. Learn to implement algorithms, manage data, and construct intelligent systems with confidence.

Concepts Learned:

Fundamentals of programming in Python
Data types, operators, and string functions
Conditional statements, loops, and variable scope
Functions, methods, attributes, and access modifiers
Multi-threading and program execution

SKILLS GAINED

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Python Fundamentals

Build essential Python programming skills to form the foundation for AI and machine learning. Learn to implement algorithms, manage data, and construct intelligent systems with confidence.

Concepts Learned:

Fundamentals of programming in Python
Data types, operators, and string functions
Conditional statements, loops, and variable scope
Functions, methods, attributes, and access modifiers
Multi-threading and program execution

SKILLS GAINED

……………………..

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

AI Literacy

Gain a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI. Explore modern models and algorithms while learning to apply them through hands-on tools and practical scenarios.

Concepts Learned:

Core principles of AI, ML, and Generative AI
Supervised, unsupervised, and reinforcement learning
Neural networks, GANs, VAEs, and transformers
Large Language Models (LLMs) like ChatGPT, Claude, and Gemini
Prompt engineering, temperature tuning, and sampling techniques

SKILLS GAINED

……………………..

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Advanced Generative AI – Models and Architecture

Dive into the architectures that power Generative AI. Master Variational Autoencoders, GANs, and Transformer models while understanding how attention mechanisms enhance large-scale AI systems.

Concepts Learned:

Variational Autoencoders (VAEs) for data generation
Generative Adversarial Networks (GANs) for synthetic media
Transformer models and attention mechanisms
Large Language Model (LLM) architecture and scaling
Real-world applications of modern AI models

SKILLS GAINED

……………………..

Advanced Generative AI – Models and Architecture

Dive into the architectures that power Generative AI. Master Variational Autoencoders, GANs, and Transformer models while understanding how attention mechanisms enhance large-scale AI systems.

Concepts Learned:

Variational Autoencoders (VAEs) for data generation
Generative Adversarial Networks (GANs) for synthetic media
Transformer models and attention mechanisms
Large Language Model (LLM) architecture and scaling
Real-world applications of modern AI models

SKILLS GAINED

……………………..

Advanced Generative AI – Building LLM Applications

Learn to design, fine-tune, and deploy LLM applications. Gain practical expertise in workflow orchestration with LangChain and apply advanced prompt engineering techniques for precision outcomes.

Concepts Learned:

LangChain workflow design
Advanced prompt engineering methods
LLM fine-tuning and customization
Benchmarking and evaluating LLMs
Application development with chatbots, Q&A, and translation systems

SKILLS GAINED

……………………..

Advanced Generative AI – Building LLM Applications

Learn to design, fine-tune, and deploy LLM applications. Gain practical expertise in workflow orchestration with LangChain and apply advanced prompt engineering techniques for precision outcomes.

Concepts Learned:

LangChain workflow design
Advanced prompt engineering methods
LLM fine-tuning and customization
Benchmarking and evaluating LLMs
Application development with chatbots, Q&A, and translation systems

SKILLS GAINED

……………………..

Agentic AI Frameworks with Model Context & Protocols

Step into the future of autonomous AI. Learn to design and deploy multi-agent systems using LangGraph, AutoGen, and CrewAI, and integrate them through Model Context Protocols (MCP).

Concepts Learned:

Agentic AI architecture: perception, cognition, action
LangGraph orchestration techniques
AutoGen multi-agent system design
CrewAI for collaborative agent workflows
MCP protocols for interoperability and compliance

SKILLS GAINED

……………………..

Agentic AI Frameworks with Model Context & Protocols

Step into the future of autonomous AI. Learn to design and deploy multi-agent systems using LangGraph, AutoGen, and CrewAI, and integrate them through Model Context Protocols (MCP).

Concepts Learned:

Agentic AI architecture: perception, cognition, action
LangGraph orchestration techniques
AutoGen multi-agent system design
CrewAI for collaborative agent workflows
MCP protocols for interoperability and compliance

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

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

SKILLS GAINED

……………………..

AI Literacy

Concepts Learned:

Core principles of AI, ML, and Generative AI
Supervised, unsupervised, and reinforcement learning
Neural networks, GANs, VAEs, and transformers
Large Language Models (LLMs) like ChatGPT, Claude, and Gemini
Prompt engineering, temperature tuning, and sampling techniques

SKILLS GAINED

Advanced Generative AI – Models and Architecture

Dive into the architectures that power Generative AI. Master Variational Autoencoders, GANs, and Transformer models while understanding how attention mechanisms enhance large-scale AI systems.

Concepts Learned:

Variational Autoencoders (VAEs) for data generation
Generative Adversarial Networks (GANs) for synthetic media
Transformer models and attention mechanisms
Large Language Model (LLM) architecture and scaling
Real-world applications of modern AI models

SKILLS GAINED

Advanced Generative AI – Building LLM Applications

Learn to design, fine-tune, and deploy LLM applications. Gain practical expertise in workflow orchestration with LangChain and apply advanced prompt engineering techniques for precision outcomes.

Concepts Learned:

LangChain workflow design
Advanced prompt engineering methods
LLM fine-tuning and customization
Benchmarking and evaluating LLMs
Application development with chatbots, Q&A, and translation systems

SKILLS GAINED

Agentic AI Frameworks with Model Context & Protocols

Step into the future of autonomous AI. Learn to design and deploy multi-agent systems using LangGraph, AutoGen, and CrewAI, and integrate them through Model Context Protocols (MCP).

Concepts Learned:

Agentic AI architecture: perception, cognition, action
LangGraph orchestration techniques
AutoGen multi-agent system design
CrewAI for collaborative agent workflows
MCP protocols for interoperability and compliance

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

How to Apply

Scholarships

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

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

Admission process

Eligibility

➔ Meet an Advisor  

➔ Submit Documents  

➔ Get Scholarship  

➔ Begin your Career

Attend an infosession

Scholarships

Reach us

Meet & Greet