What the course covers

De-risk AI: Take an AI-First Service Design approach, avoid approaching AI as a tech or automation effort. 1. Move beyond chatbot ideas and design better end-to-end experiences. You’ll leave with an AI Service Anatomy Map that shows users, systems, AI touchpoints, human roles, risks, and recovery moments. Use the AI Service Anatomy Map to expose the full service system. Compare AI features, AI-supported journeys, and AI-first services. Deconstruct real AI examples to spot what changes backstage. 2. Choose AI use cases worth building You’ll be able to evaluate AI opportunities, so you can avoid

Practice & assessment

Provider describes developing an AI Service Anatomy and redesigning real service journeys rather than adding a chatbot in isolation.

Time, cost & access

Format
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Delivery & schedule
Maven course listing. Provider page date/duration evidence: Next cohort Nov 18—Dec 16, 2026; Nov 18—Dec 16, 2026
Time
Course span: 4 weeks (course scope). Live workload: 3 hrs / week. Total instructional time not confirmed.
Fee
der View Syllabus $999 USD Next cohort Nov 18—Dec 16, 2026 En
Teaching language
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Entry requirements
You should already understand core UX or service design. This is not an intro to UX or AI. This is a shift in how experienced practitioners work. You should be comfortable with journeys, flows, or research This course assumes you are practising or working closely beside UX roles. You do not need to code. You do not need ML expertise. Experience of GenAI is implied. But you don't have to be a prompt master. This is not an intro to GenAI. What's included Live sessions Learn directly from Frank Spillers in a real-time, interactive format. Lifetime access Go back to course content and recordings whenever you need to. Community of peers Stay accountable and share insights with like-minded profes
Enrollment notes
An enrollment link was listed. Seats, checkout and purchase completion were not tested.
Credential
s Stay accountable and share insights with like-minded professionals. Certificate of completion Share your new skills with your employer or on LinkedIn. Live weekly workshops Applied labs every week End-to-end AI service capstone The chance to practice what you're learning against a realis

Before you enroll

  • provider-listed curriculum and activities; no submitted learner work or outcomes were observed.
  • Instructional language is unknown; English page copy is not used to infer teaching language.
  • Seats, transaction, software access and checkout were not tested.
  • Transfer is strongest for the stated workflow examples; the provider audience/domain may be narrower than general PM work.

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Provider sources & recorded check dates