Product foundations
Frame a product problem, outcome and constraints in a one-page brief.
Measurable outcomeAcademy content is shown in English until this locale completes editorial review.AR · source EN
Skill map
From product judgment to monetization.
The Product Builder path follows prerequisites and covers the requested end-to-end craft.
Research & validation
Run five structured interviews and turn evidence into a falsifiable decision.
Measurable outcomeUX/UI systems
Design and test one critical flow with accessible interaction states.
Measurable outcomeGenerative AI
Choose an AI pattern, define evaluation criteria and document failure modes.
Measurable outcomeCode · no-code · AI build
Ship a working vertical slice and explain the build-vs-buy trade-off.
Measurable outcomeArchitecture & APIs
Draw a deployable architecture and specify at least one versioned API boundary.
Measurable outcomeData & analytics
Define an event taxonomy tied to decisions, not vanity metrics.
Measurable outcomeSecurity & trust
Threat-model the core flow and implement least-privilege access checks.
Measurable outcomeLaunch & acquisition
Run a measurable launch with one acquisition loop and explicit stop conditions.
Measurable outcomeRetention & monetization
Build a retention hypothesis and price/value test without dark patterns.
Measurable outcomeLearning path
10 end-to-end modules
Completion produces concrete artifacts that feed readiness.
01
01 · Product foundations
Problem framing, outcomes, constraints, product judgment and decision logs.
product-foundations
02
02 · Research & validation
Interview design, evidence quality, demand tests and falsifiable hypotheses.
research-validation
03
03 · UX/UI
Critical journeys, information architecture, accessibility and prototype testing.
ux-ui
04
04 · Generative AI
Use-case selection, prompting, context, tool use, evaluations, safety and fallback design.
gen-ai
05
05 · Build with code, no-code & AI
Stack selection, vertical slices, AI-assisted coding, no-code boundaries and quality gates.
build-stack
06
06 · Architecture & APIs
Boundaries, data flow, APIs, integrations, queues and failure handling.
architecture-api
07
07 · Data & analytics
Schemas, event design, experiments, dashboards and decision-quality metrics.
data-analytics
08
08 · Security & trust
Threat modeling, auth, authorization, privacy, abuse, secrets and incident basics.
security-trust
09
09 · Launch & acquisition
Positioning, launch plan, channels, loops, instrumentation and learning cadence.
launch-growth
10
10 · Retention & monetization
Retention diagnosis, lifecycle loops, pricing, packaging, paywalls and ethical monetization.
retention-monetization