AI Product Management
Managing products where the core behaviour is probabilistic. Covers opportunity selection, data strategy, evaluation, and the very different discovery and release practices AI products require.
Who it is for
Product managers, product owners, innovation leads and technical programme managers responsible for AI-enabled products.
What the course covers
- What changes when the product is probabilistic rather than deterministic
- Identifying and qualifying AI product opportunities and avoiding AI theatre
- Data strategy as product strategy: what you need before you build
- Designing the user experience of an unreliable system: confidence, fallback and trust
- Evaluation and quality: defining 'good enough' and measuring it continuously
- Cost, latency and model selection as product decisions
- Responsible AI product practice: transparency, consent and harm assessment
This can be combined with ICAgile certification
Frequently asked questions
Who is AI Product Management for?
Product managers, product owners, innovation leads and technical programme managers responsible for AI-enabled products.
How is the course delivered?
As a live, instructor-led private cohort for your team: 3 day(s), online by default, on site by arrangement, tailored to your industry and tools.
How is it priced?
Per engagement rather than per seat, based on group size, customisation and delivery mode. Tell us your team and goals and you get a written proposal, usually within one business day.
Looking for a certified AI foundation? ICP-FAI, Foundations of AI is the ICAgile-certified companion to every course here. For a phased organisation-wide programme, see the Enterprise AI Readiness Programme, or watch real class feedback from our cohorts.