Get ahead with the most in-demand AI skills through our brand-new program Designed for Canadians. The C4V Gen AI Development Program is designed to equip professionals with cutting-edge skills in Generative AI Delivered in partnership with the University of Ottawa Professional Development Institute, this program provides a structured, flexible, and career-focused pathway into the tech industry.

 

Why C4V Gen AI?

 

Master Generative AI

This structured Gen AI Development Program provides a clear, accelerated pathway for students to enter the dynamic AI industry while ensuring alignment with employer needs, industry advancements, and workforce integration.

 

 

 

 

Professional Recruitment & Career Pathways

This program is tailored to help professionals transition into AI careers, offering direct recruitment opportunities with industry partners. Key Benefits:

For Employers: Access to highly trained AI professionals.

For employees: High-demand skills, career-ready certifications. For Government: Strengthened AI workforce, economic growth.

 

Hands-on AI Projects with Real-World Applications

The program is divided into Introductory-Level Courses, Pathways (Cybersecurity & Computer Science), and the Generative AI Development Program, with a curriculum designed for hands-on learning and industry alignment.

 

 

 

 

Course Delivery & Partnerships

The program is structured as a collaboration between universities (foundational courses) and Enterprise Learning Solutions (ELS) (advanced AI courses).

  • University Courses: Big Data Management, AI Ethics & Controls
  • ELS Courses: Prompt Engineering I & II, Gen AI Capstone Rationale:
  • Universities provide strong theoretical foundations.
  • ELS ensures cutting-edge, industry-relevant AI training.

Program Overview

The Generative AI Development Program provides Coding for Veterans students with an additional pathway to launch careers in the rapidly evolving field of Generative Artificial Intelligence (Gen AI). This program integrates foundational knowledge with advanced technical expertise, equipping students with the necessary skills for success in AI-driven industries. The program is divided into Introductory-Level Courses, Pathways (Cybersecurity & Computer Science), and the Generative AI Development Program, with a curriculum designed for hands-on learning and industry alignment. This structured Gen AI Development Program provides a clear, accelerated pathway for students to enter the dynamic AI industry while ensuring alignment with employer needs, industry advancements, and veteran workforce integration.

Learning Outcomes

  • Big Data Management (Spark, SQL, Power BI)
  • AI Ethics & Compliance (Bias Detection, Security)
  • Prompt Engineering (LLM Training, OpenAI API)
  • Gen AI Capstone Project (Hands-on AI development)

Target Audience

  • Canadians     
  • Professionals seeking a career change
A professor teaching a class of professionals about cyber security

 

 

Program Structure

The program is divided into Introductory-Level Courses, Pathways (Cybersecurity & Computer Science), and the Generative AI Development Program, with a curriculum designed for hands-on learning and industry alignment. This structured Gen AI Development Program provides a clear, accelerated pathway for students to enter the dynamic AI industry while ensuring alignment with employer needs, industry advancements, and veteran workforce integration.

Please note: For Part II, having a background in software is highly encouraged to ensure the best learning experience.

Prices

The program is divided into two parts, each with its own price. You may choose to complete only Part 1, only Part 2, or both parts together (see final option below).

Part 1: $3,750

Part 2: $11,975

Parts 1 & 2 (combined): $15,725

 

Part 1

Category Course  Description
Foundational Al Courses  Introduction to Generative AI (50 Hours) A practical, accessible entry point into AI covering the fundamentals of machine learning, generative AI, and large language models. Participants will explore prompt engineering, AI applications across industries, and case studies of successful and failed initiatives. Learners will examine the evolution of transformer-based models, the mechanics behind tools like ChatGPT and Hugging Face, and the ethical implications of AI deployment.
AI Ethics, Governance & Risk Management (50 Hours) Focused on responsible AI use, this course covers bias and fairness, data governance, intellectual property, regulatory frameworks, and AI risk mitigation. Participants will learn to evaluate AI projects for compliance, develop governance policies, and lead adoption strategies aligned with organizational values and societal expectations.

 

 

Part 2

A background in software is highly encouraged to ensure the best learning experience.

Category Course  Description
Advanced Al Courses Fine-Tuning Large Language Models (70 hours) Develop skills to fine-tune LLMs for domain-specific applications. Using tools such as Hugging Face Transformers and PyTorch. Key topics include dataset preparation, transfer learning, hyperparameter tuning, prompt tuning, and model evaluation. Adapting LLMs for tasks such as sentiment analysis, content generation, and other targeted applications.
Retrieval-Augmented Generation (RAG) (70 hours)  Introduces an advanced technique that combines LLMs with external knowledge retrieval systems to enhance accuracy, reduce hallucinations, and support real-time data access. Build RAG pipelines using LangChain and vector databases like FAISS and ChromaDB. Practical projects include creating custom question-answering bots, knowledge assistants, and search-augmented tools.
Generative AI for Cybersecurity (70 Hours) Develop practical skills in applying large language models (LLMs) to improve threat detection, automate incident reporting, and streamline workflows within Security Operations Centers (SOCs). Key topics include integration with SIEM and SOAR platforms, phishing detection, alert triaging, anomaly detection, and support for red and blue team functions. The course also introduces User and Entity Behavior Analytics (UEBA) and covers the ethical and operational considerations specific to AI use in security environments.
Prompting and Application Development (75 hours)
 Builds practical expertise in prompt engineering by the process of creating effective inputs that shape LLM outputs. It covers advanced techniques such as zero-shot, few-shot, and chain-of-thought prompting, along with hands-on development using LangChain. Topics include prompt design strategies, context management, response refinement, and the creation of AI-powered tools such as chatbots and document summarizers. Learners will be able to design and prototype Gen AI solutions.
  Gen Al Capstone (45 hours)  Apply your acquired knowledge through a comprehensive capstone project. Develop a functional Gen AI application, such as a custom chatbot, document analysis tool, or security-focused LLM system, using the tools and frameworks. Conclude with project documentation, reporting, and a final presentation with peer review.