Introduction to Generative AI
Google Skills
Last updated May 7, 2026
A plain-language starting point for anyone who wants to understand what generative AI actually is before touching a tool. Across about five hours, it builds from the basics — what generative AI is, how it differs from traditional machine learning, and what large language models do — through to responsible-AI principles and a short hands-on prompt-design exercise. The three concept courses are free to take; the prompt-design skill badge runs in the Google Cloud console and needs a Google Skills subscription (or the free monthly GEAR credits). No coding or prior background is assumed.
What you'll learn
- What generative AI is and how it differs from traditional machine learning
- What large language models are, where they are used, and how prompt tuning improves their output
- The idea of responsible AI and Google's stated AI principles
- Crafting prompts and applying multimodal techniques in a hands-on prompt-design exercise
- How responsible-AI principles are put into practice inside an organization
Frequently asked questions about Introduction to Generative AI
Who is Introduction to Generative AI for?
For complete beginners who want an accurate, jargon-light overview of generative AI and the responsible-use principles around it, with no coding required.
What are the prerequisites for Introduction to Generative AI?
None — no prior experience or coding required.
Why we suggest this course
This is a clean, vendor-built grounding that moves in the right order: concepts first, then a small amount of practice, with responsible AI treated as part of the foundation rather than an afterthought. One thing to know: the three short concept courses are free, but the "Prompt Design in Agent Platform" skill badge at the end is a hands-on lab that requires a Google Skills subscription or credits — you can complete the conceptual core without it.