Skip to main content

Workplace Skills

Ontario Tech employees have many opportunities to develop the skills and knowledge they need to advance in their careers. Managers and supervisors are encouraged to support their staff in pursuit of professional development and personal growth in order to contribute to a positive and productive work environment. 

January 2026

  • January 16 - AI Prompt Engineering
    Date:January 16, 2026
    Time: 8:30 a.m. to Noon
    Location: Virtual
    Audience: Employees

     

    REGISTER

     

    Artificial intelligence (AI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot can be used in a business setting to generate text that is unique, thorough, and highly effective at communication. In response to your written prompts describing what you require, these tools can quickly summarize information, generate ideas, solve problems, participate in conversations, and engage in a wide range of other purposes, enabling you to save time designing and developing text-based content. In order to achieve these goals, you must learn how to tell AI tools what you want in the right ways through prompt engineering.

    This course teaches how to create well-structured instructions for Generative AI tools that generate usable results.  Along the way, participants will learn about key ethical and organizational factors that need to be considered when using AI-generated content.

    LEARNING OBJECTIVES

    Participants will gain practical skills to:

    • Select and use a generative AI tool to create text from prompts.
    • Use prompt-engineering techniques to optimize text generation for your specific needs.
    • Implement text generation in a business setting.
       

    WHO SHOULD ATTEND

    This course is designed for people who want to develop the skills needed to put generative AI-based text-generation tools to work in their own tasks and workflows.

     

    WHAT YOU WILL LEARN

    Module 1: Using AI to Generate Text
    • Generating Text
    • Selecting an Appropriate AI Text-Generation Tool
       
    Module 2: Getting the Text You Want
    • Using Foundational Prompt-Engineering Techniques
    • Using Advanced Prompt-Engineering Techniques
       
    Module 3: Implementing Text Generation in a Business Setting
    • Solving Business Problems Using AI-Generated Text
    • Addressing Ethical Concerns

February 2026

  • February 13 - Intro to AI for Professionals
    Date: February 13, 2026
    Time: 8:30 a.m. to Noon
    Location: Virtual
    Audience: Employees

     

    REGISTER

     

    This session will enable you to describe the fundamentals of AI and generative AI, generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI.

    This course equips employees with the knowledge to leverage generative AI technologies in their workplace. This course covers key concepts around how generative AI systems work, including the basics of machine learning models and natural language processing. It also highlights practical applications such as content creation and process automation.

    Organizations adopt this knowledge to drive innovation, enhance efficiency, and maintain competitive advantage by automating complex tasks and generating insights from large data sets.

    Tailored to non-technical leaders, this course is crucial for strategic decision-making and knowing how to best implement AI-driven solutions.

    LEARNING OBJECTIVES

    Participants will gain practical skills to:

    • Describe what generative AI is and how it relates to and can benefit organizational functions.
    • Identify potential risks and challenges of implementing generative AI in an organization.
    • Develop a milestone plan of key steps and becoming a generative AI–driven organization.
       

     

    WHAT YOU WILL LEARN

    Module 1:  AI Fundamentals
    • AI terms and concepts
    • Generative AI terms and concepts
       
    Module 2: Solving Business Problems with AI-Generated Content
    • Generating text using AI
    • Generating images and video using AI
    • Generating audio using AI
       
    Module 3: Generative AI Challenges
    • Shortcomings
    • Ethical risks
    • Business concerns
       
    Module 4: Business Strategies for Implementation
    • Best practices for implementation
    • Measuring and evaluating results