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Fundamentals of AI

Fundamentals of AI

Badge awarded to

Sabrina Broesky

This badge certifies that the student has successfully demonstrated the knowledge and skills contained in Fundamentals of AI offered by Red River College Polytechnic.

Issued on 24 Mar 2026 by

RRC Polytech

RRC Polytech

Issuer

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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.

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Description

In this foundational course, students will learn the fundamentals of Artificial Intelligence (AI) and its practical applications in various professional fields. Students will explore the ethical implications, AI biases, and how AI tools like Generative AI can be used in personal and professional settings. The course will emphasize hands-on experience, allowing students to implement AI solutions in real-world scenarios and evaluate AI systems for improvement.

This Fundamentals of AI course is designed for a broad audience, especially those who want a foundational understanding of AI without deep technical expertise. This course will be particularly helpful for early career professionals, students, recent graduates, and anyone who would like to learn more about AI for use in their daily and work lives.

Course details

  • Hours: 20 hours
  • Pre-requisites: None

Knowledge and Skills Demonstrated

This badge certifies that the student can demonstrate the following knowledge and skills:

  1. Understand and explain basic AI concepts.
  2. Analyze and discuss AI ethics and potential biases in AI systems.
  3. Evaluate and use Generative AI tools in a real-world setting
  4. Apply AI systems to solve real-life problems.
  5. Improve AI performance through prompt engineering, crafting, and customization of prompts
  6. Evaluate AI tools and recommend best practices for AI implementation.

Evidence/Criteria for Success

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
The Basics of AI Understand and explain basic AI concepts
AI Fundamentals and Ethics Quiz Analyze and discuss AI ethics and potential biases in AI systems.
Gen AI and Prompt Engineering Improve AI performance through iterative feedback and optimization.
Evolving and Improving Gen AI performance Assignment: Presentation of AI Tools Evaluate and Use Generative AI tools in professional contexts.
Using AI to Solve Real-life problems Quiz Apply AI systems to solve real-life problems.
AI in Action Assignment: Case Study on AI application Evaluate AI tools and recommend best practices for AI implementation.