FROM YOUR FIRST LESSON TO A CREDENTIAL A HUMAN SIGNED

STARTOne free CourseIntroduction to UX Design is free on any account. No card, no trial clock.

PRACTISE9 Missions, 23 CoursesEach Mission unlocks the next, and each one ends in practice you actually produce.

BUILDYour first ProjectThe Small Project is self-assessed. Real work, but nobody has verified it yet.

HUMAN REVIEWA mentor scores your workFrom Medium Project 1 onward a person reads your submission and scores each Domain against a rubric. This is where gold starts.

CREDENTIAL8 Domains verified4 mentor approvals and a defended Capstone produce a publicly verifiable Professional Credential.

GOLD FAMILY = HUMAN OVERSIGHT → VERIFIED EVIDENCE

Professional outcome

Graduate able to research, prototype, evaluate, and help launch human-centered AI products, copilots, multimodal experiences, and agents, with a mentor-reviewed portfolio and a MasarUX Professional Credential.

Mission sequence

The ordered Missions this Career Path is built from — each names its Courses, its practical outcome, and whether it ends in a mentor-reviewed Formal Project.

Human-Centered AI Product FoundationsGround AI product design in the same human-centered fundamentals every MasarUX path shares — user-centered thinking, interaction basics, and usability heuristics — before introducing anything AI-specific.
Mission outcome
A working foundation in human-centered design applied consistently across every later Mission.
Discovering AI OpportunitiesResearch real user problems, build personas/journeys/JTBD framing, and evaluate where an AI-powered approach is actually the right, feasible answer — not just the fashionable one.Formal Project
Mission outcome
The AI Opportunity and Research Brief Formal Project.
Prompt, Context, and AI Product LanguageWrite clear, safe UX content, then extend that craft to prompt and context design — the product-language layer unique to AI-powered experiences.
Mission outcome
A working prompt and context design vocabulary applied consistently across later Missions.
Prototyping and Validating AI ExperiencesTake an AI product idea from low-fidelity wireframes through high-fidelity, testable prototypes — including the specific techniques needed to prototype non-deterministic, AI-powered behavior.
Mission outcome
A tested, high-fidelity AI product prototype. No Formal Project or Case Study — its Practice Tasks feed Mission 5's Case Study.
Generative, Conversational, and Multimodal InteractionDesign in-depth interaction states and motion, then apply that craft to conversational AI interfaces and multimodal (voice/image/text-combined) interaction, always with ethical design in view.
Mission outcome
Case Study 1 — AI Assistant or Copilot Experience.
Agentic and Adaptive ExperiencesCollaborate with product and engineering on lean UX practice, then design agentic AI workflows — goals, tools, permissions, and human control — plus personalized, adaptive, memory-aware experiences.Formal Project
Mission outcome
The Agentic AI Workflow With Human Control Formal Project and Case Study 2 — Agentic Workflow With Permissions and Recovery.
Trust, Safety, and Accessibility EvaluationBuild on accessibility and inclusive design foundations to evaluate AI experiences for quality, trust, safety, and accessibility — with clear, honest, measurable criteria.Formal Project
Mission outcome
The AI Trust, Safety, and Accessibility Evaluation Formal Project.
AI Metrics and ExperimentationApply data-informed design and advanced UX analytics/experimentation practice to AI product decisions — knowing what to measure and how to trust what the data shows.
Mission outcome
Case Study 3 — Multimodal or Adaptive AI Product Experience.
AI Product Strategy and LaunchApply product strategy practice to AI products specifically — governance, launch readiness — and integrate research, prompting/context, prototyping, evaluation, and strategy into one end-to-end capstone launch.Formal Project
Mission outcome
The End-to-End AI Product Launch Capstone Formal Project and AI Product Designer Professional Credential.

Formal Projects

The mentor-reviewed milestones submitted while progressing through this Career Path's Missions.

AI Opportunity and Research Brief

Research a real user problem, frame where an AI-powered approach is genuinely the right and feasible answer, and produce a research-backed opportunity brief — not a pitch for AI for its own sake.

Mentor-reviewedUp to 2 revisions~16h of learner effort

SCENARIO

A product team suspects an AI-powered feature could help, but has no evidence yet on whether the problem, users, or constraints actually support that approach.

REQUIRED DELIVERABLES

Problem framing
User research evidence
Persona or Jobs-to-be-Done framing
AI feasibility assessment
Opportunity brief
Risks and limitations

DOMAINS THIS PROJECT ASSESSES

Research & Discovery
Professional Practice
Accessibility & Inclusive Design

REVIEW PROCESS

Submitted
In mentor review
Reviewed
Evidence accepted

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Professional Competency Domains

The 8 mentor-verified Domains shared by every MasarUX Career Path — this path develops toward all of them.

Research & Discovery
EVIDENCE NEEDED
Planning and running ethical user research, then turning raw observations into evidence a team can act on.
Structure & Flow
EVIDENCE NEEDED
Organizing content and interactions so a product is findable, predictable, and logically connected end to end.
Interaction Design
EVIDENCE NEEDED
Designing affordances, component states, forms, and motion that behave predictably under real conditions.
Visual & Systems Design
EVIDENCE NEEDED
Applying typography, color, and hierarchy as a coherent, documented, reusable design system rather than one-off screens.
High-Fidelity & Prototyping
EVIDENCE NEEDED
Building realistic, interactive, testable prototypes across web and mobile, structured for real design workflows.
Accessibility & Inclusive Design
EVIDENCE NEEDED
Designing for vision, motor, hearing, and cognitive differences, and checking real conformance against WCAG.
Testing & Validation
EVIDENCE NEEDED
Evaluating designs through heuristic review and moderated usability testing, and turning findings into prioritized action.
Professional Practice
EVIDENCE NEEDED
Writing for real interfaces, collaborating with product and engineering, and handing off work that survives development.

Path-Specific Skills

Curriculum-design skills specific to this Career Path, in addition to the 8 shared Domains above.

AI Opportunity Framing
Turning a real user or business problem into a research-backed case for whether an AI-powered approach is genuinely the right, feasible answer.
Prompt and Context Design
Designing the prompt and context layer of an AI product — the product-language craft unique to AI-powered experiences.
AI Experience Prototyping
Prototyping and testing AI-powered experiences end to end, including the specific techniques needed for non-deterministic, AI-driven behavior.
Multimodal Interaction Design
Designing coherent interaction across voice, image, and text-combined modalities in AI-powered products.
Agentic UX Design
Designing agentic AI workflows with clear goals, tools, permissions, and real, deliberate human control over autonomous system behavior.
Adaptive and Personalized UX
Designing personalization, memory, and adaptive behavior in AI experiences responsibly, backed by measured evidence rather than assumption.
AI Evaluation, Safety, and Governance
Evaluating AI experiences for quality, trust, and safety, and reasoning about the strategy, governance, and launch-readiness needed to ship them responsibly.

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