Sai Kumar Mukthevi
Mentor, Agile Design School
LinkedIn profile of Sai Kumar Mukthevi (opens in a new tab) ↗
Home › Programmes › Professional Certificate in UX/UI Design
Professional Certificate in UX/UI Design
Go from “I like design” to “I design for a living.” A structured, mentor-led UX/UI design course with live cohorts, five industry case studies and one-on-one portfolio review.
Overview
About the programme
A complete career-switching programme for students, freshers and professionals who want to enter UX/UI design — from research to a jury-approved portfolio. Instruction is delivered through live, instructor-led sessions rather than pre-recorded video, with assessment based on project work and a final portfolio review — not attendance.
Key facts
- Duration: 6 months (26 weeks · 312 planned hours), live cohort format
- Weekly: 6 live hours (two studios + one critique/lab) + about 6 hours of project work
- Projects: 5 industry case studies — healthcare, e-commerce, fintech, edtech and enterprise SaaS
- Level: Beginner / Career switch
- Fee: ₹85,000 incl. GST (EMI options; scholarship discounts up to 30% via the Scholarship Test)
- Assessment: 5 case studies + live portfolio defence (70/100 to pass), verifiable certificate ID
- Schedules: Weekday evening, weekend and blended options
Complete guide: UI UX design course guide — syllabus, fees, duration, tools and careers
Week-by-week syllabus, 16 pages · instant PDF after a 10-second form
Upcoming batches
Next 4 start dates
A new cohort of this programme starts every 15 days, alternating weekday-evening and weekend schedules — so you're never more than two weeks from beginning.
Dates update automatically · Seats per cohort are capped to keep critique quality high · Reserve via a free demo class or counselling call.
Who should join
Built for
- College students and fresh graduates building an employable skill
- Software, QA and support engineers who want to shape products, not just build or test them
- Graphic designers upgrading from visuals to product thinking
- Career switchers from any field with curiosity and about 12 hours a week
Learning outcomes
By graduation you will
- Conduct and synthesise user research with real participants
- Translate findings into flows, wireframes and polished, accessible UI
- Test and iterate designs with evidence
- Design AI features people can trust — with visible sources, uncertainty and human control
- Build and hand off a working, accessible product slice
- Present and defend design decisions to a live jury — and to interviewers
Tools covered
FigmaFigJamMiroFigma Make or FramerDev ModeMaze (optional)Responsible AI assistants
Curriculum · 2026 edition
What you will learn, week by week
26 weeks, 312 planned hours: 156 live (two 2-hour teaching studios and one 2-hour critique or lab each week) and 156 independent. Each month ends with a gate — a mentor review you pass before moving on.
Month 1 · Foundations & real discovery
Learn how products are designed, then run your first real interviews and turn the evidence into a focused problem.
- Week 01Understand people and products
- Week 02Plan and conduct research
- Week 03Synthesise evidence
- Week 04Frame and explore
Topics and submissions, weeks 1–4
- Week 01 · Understand people and products. UX, UI, CX and product roles; human-centred design; Double Diamond; usability heuristics; cognitive load; problem versus solution; business models and stakeholder goals. You submit: Audit one familiar service and write a scoped problem brief.
- Week 02 · Plan and conduct research. Qualitative versus quantitative methods; recruitment screeners; consent; interview guides; observation; neutral questions; research ethics. Figma basics: frames, layers and text. You submit: Conduct your first two interviews; submit notes and a consent record.
- Week 03 · Synthesise evidence. Complete 4–6 relevant interviews; affinity mapping; jobs to be done; behavioural segments; assumptions versus findings; journey mapping; opportunity statements. You submit: Create an evidence-backed journey and prioritised opportunities.
- Week 04 · Frame and explore. Competitive review; how-might-we questions; sketching; prioritisation by value, feasibility and risk; success criteria; FigJam and low-fidelity Figma work. You submit: Defend a problem statement and two alternative solution directions.
Research gate: Your mentor checks that your chosen problem traces back to real participant evidence. AI may help organise consented, anonymised notes; invented interviews or synthetic personas are not evidence.
Month 2 · Information & interaction
Structure the product, design complete flows with every state, prototype them and test with real users.
- Week 05Build the information architecture
- Week 06Design complete user flows
- Week 07Prototype the interaction
- Week 08Test and revise
Topics and submissions, weeks 5–8
- Week 05 · Build the information architecture. Content inventory; navigation models; labels; card sorting; introductory tree testing; search and filtering; task analysis; prioritising a critical user journey. You submit: Case 1 navigation; scope the Case 2 checkout and interview two shoppers.
- Week 06 · Design complete user flows. Onboarding; forms; validation; permissions; account recovery; loading, empty, error and success states; cancellation; undo; content hierarchy. You submit: Case 1 states and Case 2 checkout wireframes, including payment failure.
- Week 07 · Prototype the interaction. Figma auto layout; reusable structures; clickable prototypes; UX writing; progressive disclosure; mobile conventions; input methods and responsive behaviour. You submit: A Case 1 prototype and a focused Case 2 checkout prototype.
- Week 08 · Test and revise. Moderated usability testing; scenario writing; task success; observation versus interpretation; severity ratings; sample limitations; design iteration. You submit: Test Case 1 with five users; test Case 2 with three shoppers and write its case study.
Interaction gate: A reviewer must be able to complete the primary task and recover from a realistic failure. You document what changed after testing. Five participants is a course minimum, not a universal research rule.
Month 3 · Visual craft & design systems
Build visual judgement, responsive layouts, a small documented design system and an accessibility audit.
- Week 09Develop visual judgement
- Week 10Design across screen sizes
- Week 11Build a small design system
- Week 12Audit and refine accessibility
Topics and submissions, weeks 9–12
- Week 09 · Develop visual judgement. Typography; hierarchy; colour; contrast; spacing; grids; composition; icons; imagery; brand expression; reference analysis without copying. You submit: Case 1 visual directions; interview two users about failed payments for Case 3.
- Week 10 · Design across screen sizes. Mobile-first and content-first layouts; breakpoints; constraints; dense versus sparse content; touch and pointer interaction; platform conventions; localisation stress tests. You submit: Case 1 responsive layouts and the Case 3 payment-status and recovery flow.
- Week 11 · Build a small design system. Tokens and naming; Figma variables, modes and styles; components, variants and properties; interactive states; documentation; versioning and contribution workflow. You submit: 10+ documented Case 1 components; a Case 3 prototype built from reusable patterns.
- Week 12 · Audit and refine accessibility. WCAG 2.2 AA design checks; text alternatives; focus order; target size; labels; error messages; non-colour cues; reduced motion; keyboard and screen-reader concepts. You submit: A Case 1 accessibility audit; test Case 3 with three users and document revisions.
Craft gate: Reviewers check consistency, type hierarchy, responsive behaviour and system reuse. A Figma audit demonstrates design intent; it does not certify the accessibility of a coded product.
Month 4 · Validation & responsible AI
Validate your finished Case 1, learn to use AI with judgement, and design an AI assistant people can trust.
- Week 13Validate the finished experience
- Week 14Use AI with design judgement
- Week 15Design trustworthy AI interactions
- Week 16Evaluate and frame the capstone
Topics and submissions, weeks 13–16
- Week 13 · Validate the finished experience. Advanced Figma prototyping; variables and conditional logic where available; micro-interactions; purposeful motion; test planning; baseline and revised task outcomes. You submit: Retest Case 1 with 3–5 users; interview two adult learners to frame Case 4.
- Week 14 · Use AI with design judgement. Prompt structure; context and constraints; source verification; ideation; UX copy alternatives; synthesis checks; privacy; bias; authorship and AI-use disclosure. You submit: Compare manual and AI-assisted work; storyboard a source-grounded learning assistant for Case 4.
- Week 15 · Design trustworthy AI interactions. AI mental models; conversational and embedded assistance; source attribution; uncertain answers; latency; permissions; approval before consequential actions; undo and escalation. You submit: Prototype Case 4 with normal, uncertain and failure states; test with three adult learners.
- Week 16 · Evaluate and frame the capstone. AI scenario testing; misleading confidence; human control; capstone stakeholder brief; role mapping; research access; scope and feasibility. You submit: Finalise Cases 1–4; run eight AI scenarios for Case 4 and scope Case 5.
AI judgement gate: Show at least eight evaluation scenarios across the AI feature, including unsupported answers, unavailable sources, cancelled actions and recovery. Any simulated AI response must be labelled as simulated.
Month 5 · Enterprise product & build
Research a complex enterprise workflow, design data-rich screens, build a working slice and hand it off to developers.
- Week 17Research operational complexity
- Week 18Design data-rich interfaces
- Week 19Build a working slice
- Week 20Handoff, test and inspect
Topics and submissions, weeks 17–20
- Week 17 · Research operational complexity. Interview 3–5 relevant users or domain practitioners; role-based tasks; service blueprint; permission boundaries; business constraints; discovery assumptions; backlog and acceptance criteria. You submit: A prioritised enterprise workflow and research evidence.
- Week 18 · Design data-rich interfaces. Tables; filters; sorting; bulk actions; dashboards; chart selection; data freshness; permissions; audit history; first use, empty data and degraded states. You submit: An enterprise prototype built on the shared component system.
- Week 19 · Build a working slice. HTML/CSS and semantic structure basics; component concepts; a guided AI-to-code or no-code workflow; tokens; version-control basics; design context and MCP demonstration. You submit: Implement one bounded responsive flow with sample data and disclose mocked behaviour.
- Week 20 · Handoff, test and inspect. Developer walkthrough; Dev Mode or annotated specs; acceptance criteria; visual QA; keyboard checks; loading and error behaviour; usability tests with 3–5 relevant participants. You submit: A handoff package, an issue log and a revised working slice.
Delivery gate: A fresh reviewer should be able to run your prototype and understand what is functional, mocked or out of scope. Design-to-code here is introductory, not a production engineering build.
Month 6 · Portfolio, outcomes & career
Measure outcomes, publish five case studies, practise interviews and defend your work before a jury.
- Weeks 21–22Measure and strengthen the case
- Week 23Publish the portfolio
- Week 24Practise hiring conversations
- Weeks 25–26Consolidate and defend
Topics and submissions, weeks 21–26
- Weeks 21–22 · Measure and strengthen the case. Task success, time on task and satisfaction signals; funnel and event plans; analytics interpretation; experiment hypotheses; prioritising fixes; separating measured outcomes from projections. You submit: Finalise Project B and a measurement plan; document study limitations.
- Week 23 · Publish the portfolio. Case-study structure; evidence selection; decision rationale; visual editing; responsive portfolio build; accessibility; NDA-safe presentation; your own contribution and AI disclosure. You submit: Publish all five case studies: two comprehensive projects and three focused industry studies.
- Week 24 · Practise hiring conversations. Resume and LinkedIn; role targeting; portfolio walkthrough; whiteboard exercise; critique exercises; behavioural stories; stakeholder communication; feedback and revision. You submit: Two mock interviews and a personalised application tracker.
- Weeks 25–26 · Consolidate and defend. Catch-up and remediation; final quality audit; jury presentation and questions; portfolio improvements; peer feedback; freelancing scope and estimates; an ongoing learning plan. You submit: Defend your design decisions live; submit final evidence and a 90-day growth plan.
Graduation gate: The jury assesses reasoning, craft, evidence, accessibility, AI judgement and delivery. The final two weeks are built into the six months to give you room for revision, not extra topics.
Five industry case studies
Two comprehensive projects and three focused sprints — every one with real user research, a prototype, usability testing and a revision cycle. They are industry-aligned educational briefs, not paid client projects.
| Case study | When | What you build |
|---|---|---|
| 1 · Healthcare — appointment booking | Weeks 1–13 · comprehensive project | A researched, accessible booking and rescheduling journey with a responsive UI system. |
| 2 · E-commerce — checkout and returns | Weeks 5–8 · focused sprint | A transparent checkout with clear charges, delivery information and failure recovery. |
| 3 · Fintech — payment-status recovery | Weeks 9–12 · focused sprint | A trustworthy payment flow that clarifies pending, failed and successful transactions. |
| 4 · EdTech — AI learning support | Weeks 13–16 · focused sprint | A learning assistant with source visibility, uncertainty, correction and human control. |
| 5 · Enterprise SaaS — data-quality triage | Weeks 16–22 · comprehensive capstone | A role-aware dashboard and a tested, working product slice. |
Why this programme
Three reasons learners choose it
Live studio, not videos
Every week you make something, get critiqued, and improve — the discipline recorded courses can't give.
Real users in every project
Interviews and usability tests with actual participants, so your portfolio survives interview questioning.
Career track built in
Portfolio reviews, resume and LinkedIn prep and mock interviews run alongside the curriculum.
In the studio with
Your mentors on this programme
Like the best professional schools, every course names its instructors. These practitioners lead the studios, critiques and juries for this programme.
P.J. Prudhvi Raj
Mentor, Agile Design School
LinkedIn profile of P.J. Prudhvi Raj (opens in a new tab) ↗
Anantha Shayana. D
Mentor, Agile Design School
LinkedIn profile of Anantha Shayana. D (opens in a new tab) ↗Full bios updating shortly — verify current roles directly on LinkedIn.
Certification & FAQ
A certificate that means something when someone checks it.
You're assessed on your five case studies and a live portfolio defence — not attendance: Case 1 25%, Case 5 30%, Cases 2–4 10% each, portfolio defence 15%. To pass you need 70/100 overall, at least 60/100 on every case study, and the live defence. Every graduate receives a certificate with a unique, verifiable ID, and the rubric is shared before your cohort begins.
I have zero design background. Can I still join?
Yes. This programme is built to take you from zero design experience to a job-ready portfolio — Month 1 assumes no prior knowledge, and roughly 60% of learners come from non-design fields.
How often do new batches start?
Every 15 days, alternating weekday-evening and weekend cohorts — you're never more than two weeks from a start date. The next four dates are listed above.
What projects will I build?
Five original case studies across five industries: healthcare appointment booking and an enterprise SaaS data-triage product (two comprehensive projects), plus focused sprints on e-commerce checkout, fintech payment recovery and an AI learning assistant for edtech. Each includes real user research, a prototype, usability testing and a revision cycle.
How many hours a week do I need?
Plan for about 12 hours a week: 6 live hours (two 2-hour teaching studios and one 2-hour critique or lab) plus about 6 hours of independent project work — 312 planned hours over 26 weeks. Evening and weekend cohorts exist so working professionals can manage it.
What if I miss a live session?
Sessions are recorded for revisit, but the real value — live critique and mentor Q&A — happens in real time; batch timings are chosen to make attendance realistic.
Are there EMI options or scholarships?
Yes. EMI plans run from partner finance providers, and the Scholarship Entrance Test offers score-based discounts up to 30% — both explained transparently at counselling.
Will you help me get a job after the course?
Career support runs alongside the curriculum: portfolio reviews, resume and LinkedIn preparation, mock interviews and alumni referrals — and your final jury doubles as a hiring showcase.
What laptop or software do I need?
Any laptop that runs Figma smoothly (8GB RAM recommended), stable internet and a headset. Core coursework runs on free tiers; a few features such as paid AI credits, hosting or Figma Dev Mode may need paid plans, and admissions confirms exactly what is included before you enrol.
How is the certificate verified?
You're assessed on real project work and a final portfolio jury — not attendance. Every certificate carries a unique ID employers can verify, and rubrics are public.
The only way to know if this is right for you is to sit in on a class.
No pressure, no hard sell — a live 45-minute session where you meet a mentor, see how a critique actually works, and ask every question about the curriculum, the batch, and your own starting point.
Book Your Free Demo ClassA live 45-minute session · No pressure, no hard sell
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