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.

PRACTISE6 Missions, 17 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 discover agentic opportunities, architect multi-step agent workflows, design sustained human oversight and delegation, evaluate and observe agentic systems in production, and govern them responsibly at scale, 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.

From AI Products to Agentic SystemsEstablish the AI/product foundations required before agentic workflow design — opportunity framing/feasibility judgment and prompt/context design, both reused directly from AI Product Designer.
Mission outcome
A working foundation in AI product opportunity and prompt/context judgment applied consistently across every later Mission.
Discovering Agentic OpportunitiesApply journey/JTBD mapping and service-blueprint thinking to a real multi-step workflow, then judge which of its steps are genuine delegation candidates for an AI agent — versus which must stay deterministic or human-owned.Formal Project
Mission outcome
The Agentic Opportunity Map and Workflow Blueprint Formal Project.
Designing Agent WorkflowsBuild on bounded-autonomy permission canon, state-machine fundamentals, and behavioral-spec fundamentals to architect a real multi-step agent workflow — instructions, tool scoping, and orchestration patterns an engineering team can implement from.
Mission outcome
A complete, engineering-ready agent workflow specification. No Formal Project of its own — its Practice Task, together with Mission 2's, feeds Case Study 3.
Human Oversight and Multi-Agent CoordinationExtend enterprise interface patterns into sustained human-oversight design — autonomy levels, interruption timing, supervision surfaces — then design the current, evolving practice of multi-agent handoff, roles, and conflict handling.Formal Project
Mission outcome
The Agent Workflow With Sustained Human Oversight Formal Project and Case Study 1 — Agent Workflow With Sustained Human Oversight.
Evaluating Agentic WorkflowsBuild on basic metric frameworks and single-AI-experience evaluation fundamentals to evaluate and observe multi-step agentic workflows — run/trace analysis, oversight burden, recovery quality, and launch evidence.Formal Project
Mission outcome
The Agentic Workflow Evaluation and Observability Report Formal Project and Case Study 2 — Evaluating an Agentic Workflow.
Governance, Launch, and CapstoneExtend single-product AI governance into governance across multiple deployed agents/workflows at scale — identity, ownership, auditability, incident response — then integrate opportunity through workflow architecture, oversight, evaluation, and governance into one end-to-end capstone launch.Formal Project
Mission outcome
The End-to-End Agentic Experience Capstone Formal Project and the Agentic Experience Designer Professional Credential.

Formal Projects

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

Agentic Opportunity Map and Workflow Blueprint

Decompose a real or realistic multi-step workflow into its individual steps, judge each step's delegation candidacy for an AI agent, and produce a research-backed agentic opportunity brief — including explicit do-not-automate decisions, not a blanket automation pitch.

Mentor-reviewedUp to 2 revisions~18h of learner effort

SCENARIO

A team believes an AI agent could take over a multi-step workflow, but has not yet decomposed the workflow or judged which of its steps are genuinely safe, reversible, and verifiable enough to delegate.

REQUIRED DELIVERABLES

Current-state workflow blueprint
Step-by-step workflow decomposition
Delegation-candidacy analysis per step
Autonomy-level recommendations
Explicit do-not-automate decisions
Agentic opportunity brief

DOMAINS THIS PROJECT ASSESSES

Research & Discovery
Structure & Flow
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.

Agentic Opportunity Framing
Decomposing a real multi-step workflow and judging, step by step, which parts are genuine delegation candidates for an AI agent versus which must stay deterministic or human-owned.
Agent Workflow Specification
Architecting a multi-step agent workflow — role-scoped instructions, callable-tool scoping, and orchestration patterns (sequential, parallel, conditional, checkpoint) — to an engineering-ready specification.
Tool and Permission Experience Design
Designing what tools an agent may call, under what scope, and how that permission surface is presented so a human can understand and adjust it before and during a run.
Human Oversight and Delegation Design
Designing sustained delegation relationships — autonomy-level fit, interruption timing, layered progress, run contracts, and supervision surfaces for hours- or days-long agent runs.
Multi-Agent Coordination Design
Judging when multiple agents are genuinely justified, defining role boundaries and responsibility, and designing transparent, attributable handoff between agents.
Agentic Workflow Evaluation
Evaluating a multi-step agentic workflow with run/trace-level evidence — step-level failure, tool-selection quality, oversight burden, recovery quality, and a severity-ranked, evidence-backed launch recommendation.
Agentic Governance and Launch Readiness
Governing multiple deployed agents/workflows responsibly at scale — identity, ownership, auditability, permission scaling, version/change management, and incident/kill/rollback readiness.

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