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 five-course path for managers and decision makers on what generative AI can do for an organisation, how to choose between tools and how agents may change work. It prepares learners for Google Cloud's non-technical Generative AI Leader certification but is useful without sitting the exam.
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
Explain core generative AI concepts in business terms
Compare the main generative AI tools and platforms
Identify where AI apps can improve team workflows
Assess how AI agents could change organisational processes
Recognise security and responsible AI considerations
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.
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