Masterclasses · Intermediate

AI Product Management

Ship AI products users trust: discovery for probabilistic features, eval-driven roadmaps, UX for uncertainty and responsible launch.

4 weeksLive online, cohort-based4.8 rating290 learners

A project team working around a table beside a wall of colourful sticky notes — Masterclass in session

Product managers learn what changes when the feature is probabilistic: how to scope AI bets, define quality with evals instead of specs, design UX for uncertainty, and run launches that earn user trust.

Who it's for

Product managers and product leaders shipping AI features.

Tools & stack

Eval toolingAnalytics stacksPrototype kits

What you'll walk away with

Scope AI features with feasibility evidence, not hope
Define quality via evaluation suites and error budgets
Design UX patterns for uncertainty and repair
Run responsible, reversible AI launches

Curriculum

01Discovery & feasibility

Capability mapping
Feasibility spikes
Data moats
Cost curves

02Quality & UX

Evals as specs
Error budgets
Uncertainty UX
Trust repair patterns

03Launch & operate

Staged rollouts
Feedback flywheels
Incident playbooks
Capstone review

Pricing

Value-based

Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.

Indicative rate card · ≈ ₹6,999/hr · $150/hr

Seats limited

Choose a cohort

New cohort dates announced weekly — enrol now and pick your dates with an advisor.

Request a quote

Pay by PO · nothing upfront · net 30 days · GeM & tender-ready

Or reserve a seat online

₹6,999deposit

Reserves your seat & dates. Balance invoiced per your engagement.

Secure · Razorpay · full refund 7+ days before start

Every enrolment includes

• Qube copilot access throughout
• All session recordings & materials
• Graded applied project with review
• Verifiable certificate on completion
• 30-day post-programme support

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