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Your AI Learning Journey

Follow curated, step-by-step learning paths designed for your experience level and goals. Each path combines the best free resources with University of Montana guidance.

Per Path
6-12 hrs Per Path
Free Resources
100% Free Resources
Learn at Your Speed
Self-Paced Learn at Your Speed

Choose Your Learning Path

AI Foundations Learning Path

Perfect for complete beginners - students, staff, or faculty new to AI. Build a solid foundation in AI concepts, ethics, and basic applications.

  • 8-10 hours total
  • Beginner level
  • No prerequisites
  1. Step 1: Start: UM AI Commitment

    5 minutes · UM Resource

    Understand UM's values-based approach to AI and ethical considerations before diving into tools.

    Values foundation · Ethical framework · UM-specific guidance

  2. Step 2: Overview: AI Explained Videos

    30-35 minutes · YouTube Videos

    Watch beginner-friendly videos that explain AI concepts in simple terms, covering how AI actually works and current capabilities.

    Complex topics simplified · No technical background needed · Free on YouTube

  3. Step 3: Foundation: Mansfield Library AI Guide

    30-60 minutes · UM Resource

    Comprehensive UM-specific resource covering AI terminology, ethical frameworks, and the ROBOT test for evaluating AI outputs.

    ROBOT evaluation test · Research methodologies · Subject-specific guidance

  4. Step 4: Hands-on: Elements of AI Course

    6 hours (self-paced) · Free Course

    University of Helsinki's popular beginner course covering AI basics, machine learning, and societal implications. No coding required.

    No coding required · Ethics included · Interactive exercises

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Page Disclaimer: This page was enhanced with AI with human feedback. This page will change and evolve over time.

Video Content Disclaimer: External video content is subject to change and may be removed by original creators. The University of Montana does not own or claim these videos - we've simply curated them as useful learning resources. If you have better video suggestions or notice broken links, please contact ai-help@umontana.edu.