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.
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.
Objectives
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
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
Things to know
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.
Skill Builder pages need JavaScript and sign-in; details confirmed via search-indexed copy of the provider page
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