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AI-508 AI & Data

AI Product Management

Manage products whose core feature is probabilistic: discovery for AI opportunities, model-quality roadmaps, metrics and eval literacy, cost-aware feature design, and shipping decisions under uncertainty — taught through case studies of AI features that succeeded and failed.

B4Professional
5modules
31skill atoms
2role journeys
Curriculum

What this course covers.

5 modules, 31 named skill atoms. Expand any module to see them.

1AI Opportunity Discovery5 skill atoms
user pain → AI capability fit teststask frequency x error tolerancedata availability checknon-AI baseline comparisonadoption friction
2Quality as a Roadmap6 skill atoms
eval metrics as product KPIsthresholdslaunch quality barper-segment quality targetsquality debt backlogeval coverage of new features
3Designing for Uncertainty7 skill atoms
fallbacksconfidence UXhuman handoffgraceful degradation copyshowing sourcesundo & correction affordancessetting user expectations
4Unit Economics6 skill atoms
cost per actionmargin-aware featurestoken cost per sessioncaching & routing leversfree-tier abuse limitsgross-margin sensitivity
5Ship/Hold Decisions7 skill atoms
launch criteriastaged rolloutkill criteriaeval pass gateslimited-cohort releaseguardrail metrics during rolloutdecision log
Where it fits

AI-508 in the role journeys.

This course appears in 2 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.

AI Product Manager / BA

Professional stage
AI-505AI-508AI-504

Solutions / Sales Engineer

Professional stage
AI-502AI-508AI-501

Roles this course serves

The capability ladder

This course is authored to band B4.

Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.

What do B1–B6 mean?The CASI Capability Ladder — click to expand

Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.

What the learner can doTypical evidence
B1
AwareUnderstands concepts and vocabulary; uses tools with guidance
Knowledge checks
B2
FoundationPerforms standard tasks correctly in familiar contexts
Guided labs, autograded exercises
B3
PractitionerDelivers complete pieces of work independently
Scenario labs, proctored hands-on exams
B4
ProfessionalHandles production-grade complexity, trade-offs and failure modes
Break-fix drills, design defenses
B5
AdvancedEngineers systems end-to-end under constraints; leads others
Rubric-scored capstones, vivas
B6
ExpertSets direction; recognised authority across teams
Portfolio + panel evaluation

A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.

Next step

Run AI-508 for your team.

This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.

Add it to a training plan Talk to our team Check your team’s level free