Beyond the Hype: Understanding What Generative AI Actually Does

Generative AI is a creative assistant that's absorbed a massive library, and when you ask it to create something, it draws on everything it's learned to produce something new, not to copy what it read. The Data Literacy Guide to Generative AI breaks down how these outputs are built from probability, not verified fact, and why the quality of your prompting shapes the quality of what you get back. By the end, you'll understand why every generative AI output is a draft, and why human judgment is what turns a draft into something you can actually use.

Purpose

To build a practical understanding of what generative AI can and can't do, so you can use it well.

Outcome

• Understand how generative AI creates new content from patterns, not verified facts
• Learn why prompt quality directly shapes output quality
• Recognize why human oversight, not automation alone, is what makes AI output usable

This Course Includes

• An interactive, self-paced e-learning module (5–10 minutes)
• Real-world scenarios and hands-on interactions: accordions, flashcards, and stepped processes built around the topic
• A quick knowledge check to reinforce what you've learned

Access

This course is included in the full Data Literacy Guide (DLG) collection: one purchase gets you all available DLG courses, including any new releases, for a full year, only $99.