Introduction to Generative AI - Art of the Possible
AWS Skill Builder
Last updated August 16, 2026
Introduction to Generative AI - Art of the Possible is a free, hour-long course that explains what generative AI is and what it can realistically do — no coding involved. It starts from the ground up: a quick refresher on machine learning, then the basics of how generative models work, the kinds of problems they suit, and where the genuine risks and limits sit. A running content-generation example shows the ideas in action rather than leaving them abstract, and the course closes on ethics and what adoption looks like for a small business. It is the opening course in AWS's three-part generative AI series for business and technical decision-makers, and a sensible first stop for anyone who needs a clear mental model before going deeper.
Part 1 of 3 in AWS's three-part generative AI series
- Introduction to Generative AI - Art of the Possible (you are here)
- Planning a Generative AI Project
- Building a Generative AI-Ready Organization
What you'll learn
- A plain refresher on ML as the foundation generative AI builds on
- What generative AI actually is and how it works
- Real use cases — where it fits and where it doesn't
- How generative AI maps onto AWS services, at a high level
- What adoption looks like, including for a small business
- The ethical considerations and risks to weigh
Frequently asked questions about Introduction to Generative AI - Art of the Possible
Who is Introduction to Generative AI - Art of the Possible for?
Business and technical decision-makers, and curious beginners, who want a clear, jargon-light picture of what generative AI can and can't do — no technical background needed.
Is Introduction to Generative AI - Art of the Possible free?
Yes — Introduction to Generative AI - Art of the Possible is completely free to take.
What are the prerequisites for Introduction to Generative AI - Art of the Possible?
None.
Why we suggest this course
A fast, plain-language orientation for decision-makers and curious newcomers who want to understand generative AI's real possibilities and limits before investing time or budget. One thing to know: it is built by AWS, so the "on AWS" section and examples point to Amazon's own services (Bedrock, SageMaker, S3) — the underlying concepts are general, but expect the platform framing.