Generative AI for Executives
AWS Skill Builder
Last updated September 11, 2025
Generative AI for Executives is a free, 50-minute course, delivered across 18 short videos, that gives business leaders the vocabulary and judgment to lead a generative AI effort rather than build one. It opens with the concepts and terminology — how machine learning, deep learning, and generative AI differ, what foundation models, prompts, tokens, embeddings, and transformers actually are, and what is involved in choosing a model and bringing your own data to it. From there it turns to strategy: how to match an AWS generative AI service to a given use case, and how to weigh model selection against performance and cost. It closes on the organizational work — running a pilot, practicing generative AI responsibly, protecting your data, and leading the effort across the enterprise.
What you'll learn
- Core terminology (foundation models, prompts, tokens, embeddings, transformers)
- How ML/DL/GenAI differ
- Strategic decisions behind a GenAI solution
- Matching an AWS GenAI service to a use case
- Org readiness: pilots, responsible AI, data protection
- Model selection vs performance and cost
Frequently asked questions about Generative AI for Executives
Who is Generative AI for Executives for?
Executives, non-technical business leaders, and decision-makers who want the concepts and strategy to lead a generative AI effort, no technical background required.
Is Generative AI for Executives free?
Yes — Generative AI for Executives is completely free to take.
What are the prerequisites for Generative AI for Executives?
None required.
Why we suggest this course
A concise orientation for leaders who need to make decisions about generative AI without getting lost in the engineering — covering the terminology, the strategic choices, and the responsible-use and data-protection questions that come with adoption. One thing to know: it is built by AWS, and its services section maps these choices onto Amazon's own offerings (Bedrock, SageMaker, Amazon Q), so expect the platform framing — the concepts and strategic questions themselves are general.