Planning a Generative AI Project
AWS Skill Builder
Last updated October 10, 2026
Planning a Generative AI Project is a free, one-hour course about deciding whether and how to take on a generative AI initiative — not about building one. It first sets out the technical foundations and key terminology behind generative AI, then walks through the steps involved in planning a project, and finally weighs the risks against the benefits, including ethical considerations and regulatory and compliance issues. It is the second course in a three-part series for business and technical decision makers; the series opens with a separate introductory course, which AWS recommends taking first. The material is delivered as text instruction with illustrative graphics.
Part 2 of 3 in AWS's three-part generative AI series
- Introduction to Generative AI - Art of the Possible
- Planning a Generative AI Project (you are here)
- Building a Generative AI-Ready Organization
What you'll learn
- The technical foundations and key terminology of generative AI
- How generative AI is used in practice and across industries
- The steps to planning a generative AI project
- Weighing the risks and benefits of generative AI
- Ethical considerations in generative AI
- Regulatory and compliance issues to account for
Frequently asked questions about Planning a Generative AI Project
Who is Planning a Generative AI Project for?
Business and technical decision makers deciding whether — and how — to take on a generative AI project.
Is Planning a Generative AI Project free?
Yes — Planning a Generative AI Project is completely free to take.
What are the prerequisites for Planning a Generative AI Project?
Recommends first completing Introduction to Generative AI – Art of the Possible, the opening course in AWS's three-part generative AI series.
Why we suggest this course
It is written for business and technical decision makers weighing a generative AI project, and it gives time to the risk, ethics, and compliance questions alongside the planning steps. One thing to know: it is the second course in an AWS series, and AWS recommends taking the introductory one first.