Building a Generative AI-Ready Organization
AWS Skill Builder
Last updated November 3, 2025
Building a Generative AI-Ready Organization is a free, hour-long course about the people and process side of adopting generative AI — not the technology itself. It works through what it takes to get an organization ready: starting with leadership, managing the change, and preparing employees; then organizing for success with an operating model, risk management, governance, and ethics; and finally taking concrete action by upskilling staff, embedding generative AI thinking into everyday work, and measuring its impact. It mixes short readings with interactive elements, and is the final course in AWS's three-part generative AI series for business and technical decision-makers.
What you'll learn
- Leadership buy-in + change management
- Preparing and upskilling employees
- A cloud operating model and team structure
- Risk management and a governance model
- The ethical considerations of org-wide GenAI use
- Embedding GenAI thinking and measuring impact
Frequently asked questions about Building a Generative AI-Ready Organization
Who is Building a Generative AI-Ready Organization for?
Business decision-makers planning or leading generative AI adoption who want a practical framework for getting their organization, teams, and people ready — no coding required.
Is Building a Generative AI-Ready Organization free?
Yes — Building a Generative AI-Ready Organization is completely free to take.
What are the prerequisites for Building a Generative AI-Ready Organization?
An introductory generative AI course recommended first (final course of a three-part series).
Why we suggest this course
For business decision-makers who already grasp what generative AI is and now need a structured way to prepare their organization to adopt it — covering leadership, change management, governance, and upskilling. Two things worth knowing: it assumes you have done an introductory generative AI course first (it is the last of a three-part series), and it is built by AWS, so the operating-model and tooling guidance leans on Amazon's own services (Bedrock, SageMaker).