Intro to Artificial Intelligence

Status: Open

About

An interactive, four-week online introductory instruction program focused on increased proficiency and competency with AI. The course will be provided utilizing the Moodle Learning Management System (Moodle LMS) and Open-Source Learning Resources.

Who It Is For

MNBC Citizens who are new to AI and want hands-on experience using common AI tools.

What Participants Learn

  • How AI appears in everyday applications and online services.
  • How to write and improve prompts and responses in ChatGPT.
  • How to use AI features in Google Workspace and Microsoft Copilot.
  • How to use AI for translation and summarization.
  • How to recognize AI-generated media.
  • AI ethics, safety, and bias.
  • The beginner curriculum emphasizes direct, hands-on practice.

Format, Duration and Location

Appointment-based live tutoring sessions will be offered to provide students with extra support and in-depth assistance with course material. Small class sizes (12-15 participants) will be emphasized to facilitate 1-on-1, personalized support.

Dates: November 10 to December 3, 2026
Time: Tuesdays & Thursdays| 5:30 pm to 7:30 pm PT.
Where: Online via Zoom

Each session will include:

  • Live sessions with detailed demonstrations of assignments
  • Comprehensive learning objectives
  • Single-skill development activities and practice
  • Combined-skill development activities
  • Interactive quizzes
  • Individualized feedback and assessment throughout

Eligibility

  • Open to MNBC Citizens.
  • No prior AI experience is required.

Registration

Fill out the intake form below to inquire about registration for the upcoming cohort.

Topics & Materials Covered

(Subject to change.)

Session 1: Understanding AI Fundamentals

  • Grasping the concept of AI and its historical development
  • Recognizing AI’s role in everyday life

Session 2: Navigating AI Tools

  • Using platforms like ChatGPT, Google Suite, DALL·E, Hugging Face, and Runway ML
  • Basic operation of various AI powered applications

Session 3: Identifying AI Types

  • Distinguishing between Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and Generative AI

Session 4: Natural Language Processing (NLP) Basics

  • Understanding how AI interprets and generates human language
  • Recognizing NLP applications in text analysis, speech recognition, translation, and conversational AI

Session 5: Recognizing AI in Daily Life

  • Identifying AI applications in voice assistants, streaming services, smart home devices, online shopping, navigation apps, and healthcare

Session 6: AI Ethics and Safety Awareness

  • Understanding the importance of responsible AI use
  • Recognizing potential biases in AI systems
  • Appreciating the significance of privacy, transparency, and fairness in AI

Session 7: Media AI Comprehension

  • Understanding how AI generates images, text, and sounds

Session 8: AI Learning Process

  • Grasping how AI models improve through updates and data

Session 9: Future AI Trends

  • Anticipating potential advancements in AI technology
  • Understanding AI’s potential impact on various sectors like healthcare, creativity, and the workplace

Session 10: Critical Thinking about AI

  • Evaluating the benefits and potential risks of AI advancements
  • Considering the ethical implications of AI development and implementation

Intro to Artificial Intelligence STEPS Cohort

Are you a Métis Nation BC Citizen?(Required)
To be eligible to apply for MNBC services, you must be a MNBC Citizen.
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