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Course

AI Literacy

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This course translates the 2026 Department of Labor’s AI Literacy Framework into a clear, usable baseline for workers, employers, and training providers. You will learn what today’s AI tools are, where they help, where they fail, and how to verify outputs while staying accountable for outcomes. You will also learn how to build and scale AI literacy through hands-on practice, job-relevant context, and training designs that stay current as tools and policies evolve.

What's Included:

1.1 - Understand AI Principles

1.2 - Explore AI Uses

1.3 - Direct AI Effectively

1.4 - Evaluate AI Outputs

1.5 - Use AI Responsibly

2.1 - Enable Experiential Learning

2.2 - Embed Learning in Context

2.3 - Build Complementary Human Skills

2.4 - Address Prerequisites to AI Literacy

2.5 - Create Pathways for Continued Learning

What's Included:

1.1 - Understand AI Principles

1.2 - Explore AI Uses

1.3 - Direct AI Effectively

1.4 - Evaluate AI Outputs

1.5 - Use AI Responsibly

2.1 - Enable Experiential Learning

2.2 - Embed Learning in Context

2.3 - Build Complementary Human Skills

2.4 - Address Prerequisites to AI Literacy

2.5 - Create Pathways for Continued Learning

Creators:

Christian "Creed" Reed

Founder of Fourth Gen Labs

Target Audience:

1) Frontline or office workers with beginner to intermediate tech experience who are encountering AI in daily tasks and need a clear baseline to use it effectively, check its work, and stay accountable for results.

2) Workforce instructors, community college faculty, and training providers with curriculum experience who need a DOL-aligned foundation to integrate AI literacy into programs without guessing what “good” looks like.

3) Managers, HR and L&D leaders, and workforce agency staff with oversight responsibilities who must set guardrails, support adoption, and track AI literacy proficiency across teams, cohorts, or partners.

0 Hr 0 Min

Updated:

March 2026