A three-hour AWS plan for business and technical leaders covering what generative AI can do, how to plan a generative AI project and how to prepare an organisation for it. It is strategy-focused and light on hands-on tool use.
A short course on spotting AI opportunities in real workflows and deciding which are worth pursuing. Learners weigh likely benefit against implementation effort and write a clear problem statement and solution plan for the strongest idea.
Objectives
Describe realistic generative AI use cases, benefits and risks
Plan a generative AI project from idea to delivery
Weigh risks and benefits when choosing a project
Identify what an organisation needs in people, process and governance to adopt generative AI
Find AI opportunities within existing workflows
Compare ideas by likely improvement and effort to implement
Write a focused problem statement for an AI use case
Produce a solution plan a team can use to decide whether to build
Things to know
Skill Builder pages need JavaScript and sign-in; details confirmed via search-indexed copy of the provider page
Refers to AWS services such as Amazon Bedrock
Listing last updated 16 July 2026
Sits in OpenAI's developer and builder track; the learning path page describes its audience as developers even though the course page says no coding is needed.
Badge is earned via the learning path assessment (80% pass mark).
Lesson-level module titles are only visible after enrolling; the public page lists the course plus its assessment.
OpenAI says badges and certificates of completion are not certifications and do not guarantee eligibility for a future OpenAI Certification.
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