Master the complete UX process before moving into professional visual UI
Design & ProductBeginner
UI/UX and AI Product Design Professional
Master the complete UX process first, progress into professional UI and design systems, then graduate with guided real-world projects and a job-ready portfolio.
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Portfolio outcomeMobile service product: UX research to validated high-fidelity prototype
Duration20 weeks
Live lessons80
LanguageEnglish & Tamil
Learning modeLive + lab
Program fee₹12999₹24999 regular feeFounding cohort · First 20 learners
The real outcome
What you'll actually be able to do.
A mentor-led 20 weeks program designed around practical labs, guided assignments, portfolio work, and clear progress reviews. Learn the workflow employers and modern teams use, then apply it in projects you can confidently explain.
01
Plan and execute an end-to-end UX process from discovery to validated solution
02
Conduct interviews, surveys, competitor research, synthesis, and usability testing
03
Create information architecture, user flows, wireframes, and UX content
04
Design polished responsive interfaces from visual foundations to advanced Figma
05
Build accessible component libraries, variables, tokens, and documented design systems
06
Use AI responsibly across research, exploration, prototyping, and AI-product experiences
07
Hand off production-ready designs and present three assessed, evidence-led portfolio case studies
Course benefits
Why this learning path matters.
Each benefit is connected to practice, projects, and work you can demonstrate.
Practise real research, information architecture, testing, accessibility, and product reasoning
Progress from Figma fundamentals into variables, design systems, prototypes, and Dev Mode
Use current AI tools for research support, exploration, content, visuals, and functional prototypes
Graduate with three assessed case studies showing evidence, iteration, UI quality, and handoff
Your learning roadmap
From “new to this” to “I built this.”
80 live lessons across 23 focused modules.
Learning phase
Phase 1 · UX Foundations & Research
Module 01UX, product and human-centred design
+
What UX is and is notUX roles and product teamsDesign thinking and Double DiamondBusiness goals and user outcomesProblem statementsEthics and inclusive design
Module 02User psychology and usability principles
+
Mental modelsCognitive loadAttention and memoryDecision-making and cognitive biasesAffordances and signifiersJakob's Law, Hick's Law and Fitts's LawAvoiding manipulation and dark patterns
Module 03Discovery and research planning
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Stakeholder interviewsAssumptions and hypothesesResearch objectivesMethod selectionParticipant recruitmentConsent, privacy and research ethics
Module 04Qualitative user research
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Interview guidesUser interviewsContextual inquiryObservation and diary studiesNeutral questioningResearch notes and transcripts
Module 05Quantitative, market and AI-assisted research
+
Survey designSampling and response biasCompetitor and comparative analysisDesk researchProduct reviews, analytics and support dataAI-assisted interview and survey draftsAI transcription and summarizationProtecting participant data and verifying every AI-generated claim
Learning phase
Phase 2 · UX Architecture & Validation
Module 06Research synthesis and problem definition
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Affinity mappingThemes and insightsEvidence-based personasJobs to be doneEmpathy and journey mapsHow-might-we questions and opportunity areas
Module 07Information architecture
+
Content inventoryMental modelsTaxonomy and labelingOpen and closed card sortingSitemaps and navigationTree testing
Module 08Task flows, user flows and service design
+
Task analysisHappy paths and edge casesUser-flow notationCross-channel journeysService blueprintsPrioritising the MVP experience
Module 09Ideation, sketching and wireframing
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How-might-we ideationCrazy 8s and solution sketchingFeature prioritizationLow- and mid-fidelity wireframesLayout and interaction patternsAnnotation and design rationaleAI-generated alternatives as hypotheses—not validated solutions
Module 10UX writing and content design
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Voice, tone and plain languageContent hierarchyLabels, instructions and calls to actionForms and onboarding contentEmpty, loading, success and error statesLocalization-ready contentAI copy drafting with editorial and accessibility review
Module 11Usability evaluation, testing and iteration
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Heuristic evaluationCognitive walkthroughsTest plans and task scenariosModerated and unmoderated testsThink-aloud facilitationObservation, metrics and severity ratingsAccessibility audit basicsAI-assisted clustering with human validationProduct analytics and A/B testing fundamentalsPrioritising and documenting iterations
Learning phase
Phase 3 · UI Foundations & Figma
Module 12Visual design foundations
+
Gestalt principlesVisual hierarchyComposition and balanceGrid and spacing systemsConsistency and affordanceDesign critique
Module 13Typography, colour and visual language
+
Type anatomy and scalesReadable hierarchyColour theory and palettesContrast and semantic colourIcons and imageryBrand-to-product translation
Module 14Figma from fundamentals to production
+
Frames, layers and stylesConstraints and resizingAuto LayoutComponents and propertiesVariants and interactive statesTeam files, libraries and collaboration
Module 15Responsive, adaptive and accessible UI
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Mobile-first designBreakpoints and fluid layoutsWeb, Android and iOS conventionsWCAG 2.2 AAKeyboard, focus and target sizesAccessible forms and error handling
Module 16Real-world product UI patterns
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Mobile navigation and onboardingResponsive websites and ethical landing pagesForms, tables, search and filteringSaaS dashboard architectureData-visualization fundamentalsComplex states and permissionsLight, dark and high-contrast themes
Learning phase
Phase 4 · Advanced UI, Systems & AI
Module 17Design systems, variables and tokens
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Atomic design and component anatomyFoundations and semantic tokensFigma variables and modesReusable component APIsDocumentation and governanceDark mode, themes and localization
Module 18Interaction design and advanced prototyping
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Interaction principlesMicrointeractions and feedbackTransitions and motionOverlays and conditional flowsVariables in prototypesPrototype testing and presentation
Module 19AI-assisted design and human–AI UX
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Prompt structure and creative directionFigma AI First Draft and Figma MakeGenerating alternatives for exploration—not automatic validationEvaluating generated interfaces against evidenceAI onboarding and expectation settingExplainability, confidence and user controlHallucination, failure and correction flowsPrivacy, bias, safety and responsible AI
Module 20Developer handoff and design QA
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Dev Mode and inspectionSpecs, annotations and assetsVariables to code tokensResponsive behaviour and acceptance criteriaDesigner–developer collaborationDesign QA and issue reporting
Learning phase
Phase 5 · Projects, Portfolio & Career
Module 21Three industry-style capstone projects
+
Mobile service: full UX research to tested prototypeResponsive SaaS dashboard and design systemTrustworthy AI copilot with failure and recoveryWeekly critiques and iteration logsUsability evidenceFinal stakeholder presentations
Module 22UX documentation and portfolio case studies
+
Research reports and evidence repositoriesFlow and decision documentationCase-study structure and storytellingShowing process, evidence and trade-offsOutcome measurement and honest limitationsAI-assisted editing without invented resultsPortfolio website and presentation deck
Module 23Assessment and job readiness
+
Project rubric: research, UX, UI, accessibility and handoffPortfolio critique and revisionResume and LinkedIn positioningDesign critique communicationWhiteboard challengesTake-home assignment strategyMock product-design interviews
AI project studio
Five projects. Built for your portfolio.
Progress from focused practice to one complete, presentation-ready capstone.
Mobile service product: UX research to validated high-fidelity prototype
PlanBuildReview
Responsive SaaS dashboard with an accessible documented design system
PlanBuildReview
Accessible commerce redesign based on audit and usability evidence
PlanBuildReview
Trustworthy AI copilot with onboarding, control, failure, and recovery flows
PlanBuildReview
AI-native career platform: end-to-end product design capstone
PlanBuildReview
Your stack
Tools you'll get comfortable with.
FigmaFigJamFigma AIFigma MakeChatGPTClaudeGeminiDovetail AIMaze AIUizardFramer AIAdobe FireflyMidjourneyStarkNotionDev Mode
Job opportunities
Where these skills can take you.
These are realistic roles to explore as your portfolio and experience grow.
Junior UX DesignerJunior UI DesignerAssociate Product DesignerInteraction Designer — JuniorUX Research AssociateDesign Systems Trainee
Hiring readiness
How this curriculum helps you compete in 2026.
Hiring teams look for evidence that you can apply skills, explain decisions, and work through realistic constraints.
Three end-to-end case studies show process and decisions—not only polished screens
Research and usability evidence helps learners defend choices during portfolio reviews
WCAG 2.2, responsive UI, components, variables, and handoff match modern team workflows
AI-product failure and recovery work demonstrates a relevant 2026 specialization
Weekly critique, whiteboard practice, and mock interviews prepare learners for hiring stages
Job titles and hiring requirements vary by company and location. Completing a course strengthens skills and portfolio evidence; it does not guarantee employment.
Is this your track?
This course fits if you are…
- ✓Students and design beginners
- ✓Career switchers
- ✓Developers moving into product design
- ✓Working professionals building AI product skills
Good to know
Before you start.
- ✓No design background required
- ✓Laptop with internet access
- ✓Free Figma account; paid AI tools are optional
ZZiawinElite Institute
Digital credential
Certificate of achievement
This certifies thatStudent Name
has successfully completed the career programUI/UX and AI Product Design Professional
FigmaFigJamFigma AI
Sample credential IDZE · 2026 · UI-UX-PRODUCT-DESIGN
✦AIREADY