Badge awarded to
Issued on 13 Mar 2026 by
RRC Polytech
learn@rrc.ca
We’re Manitoba’s largest institute of applied learning and research, and take pride in preparing our students to become leaders in their fields.
In this course, students will gain a comprehensive understanding of the key concepts and terminology related to Artificial Intelligence (AI) and the practical applications of AI in business contexts. Students will learn about AI applications and analyze the strengths, weaknesses, and ethical considerations for using AI in business contexts. Students will gain skills for using AI through practical, hands-on activities and assessments. Students who successfully complete this microcredential will have demonstrated skills in using AI tools for diverse business tasks, using AI tools for analyzing and interpreting Business data, and integrating AI into strategic decision-making processes.
This course course would be useful for a wide range of individuals, who have experience in business and settings including Business Leaders and Executives, Managers, Consultants, and Strategists.
This badge certifies that the student can demonstrate the following knowledge and skills:
This microcredential is assessed on a pass/fail scale. To attain credit for this microcredential course, the learner must achieve a ‘pass’ on all of the following outcome-aligned assessments:
| Module | Assessment | Outcome Alignment |
|---|---|---|
| Module 1: Introduction to AI and Its Impact | Quiz: Key concepts and terminology | 1. Recognize and apply key AI terminologies and concepts 2. Analyze the strengths, weaknesses, and ethical considerations of AI in business. a. Evaluate the impact of AI on a selected industry |
| Module 2: AI for Business Applications | Assignment: Design prompts for a given business scenario using DALL-E or Stable Diffusion. | 3. Use generative AI tools effectively for diverse business tasks o. Design prompts for a given business scenario o. Analyze the use of Microsoft Copilot in a productivity-focused task. |
| Module 3: AI for Data-Driven Decision Making | Assignment: Create a basic predictive model using AI tools. | 4. Use AI tools for analyzing and interpreting business data, including predictive and real-time decision-making a. Generate insights from a dataset using an AI analytics tool b. Create a basic predictive model using AI tools. |
| Module 4: AI for Business Strategy and Innovation | Assignment: Develop a business strategy leveraging AI in a specific domain. | 5. Integrate AI into strategic decision-making processes, including innovation and product development. a. Develop a business strategy leveraging AI in a specific domain. b. Propose an AI-driven innovation for a chosen industry. |