A leader-focused course that works through a single AI initiative from business priority to adoption. Learners produce a first-draft AI strategy covering ownership, governance, a roadmap and adoption plan, and practise judging whether the evidence supports moving forward.
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
Tie an AI initiative to a real business priority
Decide which AI opportunities are worth backing
Set ownership and governance for an AI initiative
Draft a roadmap and adoption plan others can act on
Judge whether evidence justifies scaling an initiative
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
Course page does not state a certificate of completion; the badge is earned via the learning path assessment (80% pass mark).
Uses ChatGPT; a supplied fictional case is available if you cannot use a live example.
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.
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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