You keep learning but do not know what to build
Tutorials give you isolated skills. Hiring conversations ask you to connect them.
12-week live programme
Learn UI/UX and Product Design by solving real product problems.
The full product design process, from research and user flows to UI, design systems, SaaS workflows, AI-assisted design and portfolio case studies.
What it is
What is the ProdXVerse UI/UX & Product Design Programme?
ProdXVerse is a 12-week live online UI/UX and Product Design course built around practical project work. Learners practise UX research, information architecture, user flows, wireframing, Figma, visual design, design systems, SaaS UX, AI-assisted workflows, case-study writing and career preparation with mentor feedback.
Figma is a tool. Product Design is a way of thinking.
The goal is not to finish 12 weeks of content. The goal is to finish with work you can explain.
Sound familiar?
Most beginners do not have an information problem. They have a practice problem.
There is more UI/UX content online than anyone can finish. That is not necessarily helping.
| You can... | and still... |
|---|---|
| know what Auto Layout is | struggle to design a usable flow. |
| watch user-research videos | not know what questions to ask. |
| copy a clean interface | be unable to explain why your version works. |
| finish a course | have no portfolio worth showing. |
These are the gaps we designed the programme around.
Your portfolio has screens but no story
A recruiter cannot see your thinking from a mockup alone.
AI is moving faster than your learning roadmap
You know AI matters, but “learn 50 tools” is not a career strategy.
You can design by feel but struggle to defend decisions
Interviews expose this quickly.
You do not know what “product thinking” actually looks like
Job descriptions ask for it without explaining it.
You want feedback, not another recorded library
You need someone to tell you what is unclear and why.
What you leave with
Build proof of work, not just proof of attendance.
The exact project scope can vary by cohort, but the programme is designed around tangible outputs.
Work through real product constraints instead of only redesigning famous apps.
Document the problem, process, decisions, iterations and final outcome.
Know what to show, what to remove and how to make the work easier to review.
Use Auto Layout, components, variants, variables and prototyping with a product workflow in mind.
Research, IA, flows, wireframes, testing and iteration become connected steps rather than disconnected terms.
Work with dashboards, forms, tables, onboarding, empty states, permissions and complex workflows.
Use AI for research, ideation, UX writing, synthesis and faster execution while reviewing what it gets wrong.
Resume, LinkedIn, portfolio presentation and interview discussion support where included in the cohort.
The 2026 shift
AI can generate interfaces. Your judgment is still the job.
Designers do not need to compete with AI at drawing more screens. They need to become better at deciding:
- what problem is worth solving
- what the user needs first
- what information belongs on the screen
- what should happen when things go wrong
- what can be removed
- what the business needs
- what the developer needs to understand
- whether an AI output is actually usable
That is why AI is not treated as one isolated week.
It is used throughout the programme where it helps.
Research
Summarise transcripts, cluster patterns and pressure-test conclusions.
UX writing
Explore alternatives faster, then rewrite for context and clarity.
Ideation
Generate more directions before choosing one.
Wireframing
Create starting points faster, then correct the flow and hierarchy.
Visual exploration
Generate moodboard and direction ideas without outsourcing design judgment.
Documentation
Speed up briefs, design rationale and presentation drafts.
Design-to-build collaboration
Understand how AI-assisted coding changes handoff and prototyping.
The rule
Use AI to remove repetitive work. Do not use it to remove thinking.
How you learn
Every week should change the work in front of you.
This is why the programme is live and project-led. The feedback loop matters as much as the syllabus.
Learn
Understand the principle and see it used in real product situations.
Apply
Use it on your own project or assigned brief.
Review
Bring the work back for critique.
Improve
Fix the weak decisions.
Document
Capture why you changed the design so the learning becomes part of your case study.
Curriculum
12 Weeks. Four Phases.
Each week has one focus, one AI-assisted workflow and one output you keep.
Product Design Thinking
- UI vs UX vs Product Design
- how product teams work
- user goals vs business goals
- reading a product brief
- asking questions before opening Figma
- basic product metrics and constraints
- core usability principles
AI workflow: Use AI to draft a brief, then identify what is missing, assumed or too vague.
OutputProblem framing + product brief review
Figma for Product Work
- frames and layout
- Auto Layout
- components
- variants
- variables
- reusable patterns
- prototyping
- file organisation
- responsive design thinking
AI workflow: Generate a component or layout suggestion, then audit it for consistency, accessibility and real product states.
OutputReusable interface foundation
Visual Design That Supports Use
- typography
- spacing
- visual hierarchy
- colour systems
- UI states
- density
- responsive layouts
- accessibility basics
AI workflow: Use AI-assisted visual exploration as a starting point, not the final answer.
OutputVisual direction + screen system
User Research
- when research is useful
- qualitative vs quantitative inputs
- interview planning
- writing better questions
- identifying behaviour vs opinion
- affinity mapping
- Jobs to Be Done basics
- research limitations
AI workflow: Summarise interview notes and compare AI themes with your own analysis.
OutputResearch summary + insight set
Problem Definition & Product Strategy
- problem statements
- assumptions
- hypotheses
- success signals
- prioritisation
- competitive analysis
- MVP scope
- stakeholder trade-offs
AI workflow: Use AI to challenge the problem statement and simulate stakeholder objections.
OutputProblem definition + prioritised direction
Information Architecture & User Flows
- content hierarchy
- navigation
- sitemaps
- task flows
- user journeys
- happy paths
- edge cases
- empty states
- error states
AI workflow: Generate a first flow from a feature description, then audit the missing states and assumptions.
OutputIA + end-to-end user flow
Wireframing & Prototyping
- low-fidelity exploration
- concept variation
- screen hierarchy
- rapid prototypes
- usability checks
- iteration
- deciding what not to design yet
AI workflow: Use AI-generated wireframe directions to widen exploration, then select and improve based on the user task.
OutputWireframe flow + prototype
Design Systems
- component systems
- states and variants
- tokens
- naming
- consistency
- documentation
- contribution patterns
- accessibility inside systems
AI workflow: Use AI to assist audits and documentation, then validate the output manually.
OutputMini design system used in your project
End-to-End Product Design
- onboarding
- core loops
- settings
- notifications
- errors
- empty states
- responsive behaviour
- handoff considerations
- working under constraints
AI workflow: Use AI for UX copy and scenario generation, then refine for the actual product context.
OutputEnd-to-end product flow
SaaS UX & Complex Interfaces
- dashboards
- tables
- filters
- forms
- multi-step workflows
- role-based interfaces
- permissions
- data visualisation basics
- B2B onboarding
AI workflow: Use AI to generate alternative structures, then compare them against task frequency, data importance and user role.
OutputSaaS workflow / dashboard case
Portfolio & Case Studies
- selecting projects
- case-study structure
- showing process without dumping every artifact
- explaining decisions
- showing iteration
- writing concise project stories
- portfolio hierarchy
- NDA-safe presentation approaches
AI workflow: Use AI to tighten draft writing without fabricating research, outcomes or impact.
OutputPortfolio-ready case study
Career & Presentation
- presenting a case study
- portfolio walkthroughs
- resume structure
- LinkedIn basics
- design interview discussion
- take-home challenge thinking
- freelance / internship / job search direction
- what to keep learning after the cohort
OutputFinal presentation + next-step career plan
What should I build?
Your portfolio should show decisions, not only variety.
A strong beginner portfolio does not need 10 projects. It needs a small number of projects you can discuss in depth.
Recommended portfolio mix. The exact project briefs can change by cohort.
Core UX problem
Show research, information architecture, flows and iteration.
SaaS / complex workflow
Show tables, forms, dashboards, roles, states and product thinking.
End-to-end product
Show how the parts connect from problem to final prototype / handoff.
Who it is for
This programme is designed for...
Complete beginners
You need structure and a clear sequence instead of random tutorials.
Students and fresh graduates
You need stronger work beyond classroom submissions.
Career switchers
You need a practical way to build product-design evidence from a different background.
Self-taught designers
You know Figma or UI basics but your process and portfolio feel inconsistent.
Junior designers
You want deeper UX, SaaS and product thinking rather than only visual execution.
Developers / product people exploring design
You understand systems or product requirements but want stronger user-experience and interface skills.
This is not the right programme if...
- you only want a certificate
- you want to become employable without building a portfolio
- you want passive recorded content only
- you are not willing to revise your work after critique
- you already lead mature product-design teams and need advanced leadership coaching
- you expect guaranteed placement
- you believe UI/UX is mainly about making screens look attractive
The difference
A course can give you content. A good programme should change your work.
ProdXVerse is not automatically the right choice for everyone. If you learn well alone and already have strong mentors around you, free and self-paced resources can work.
| Learning option | What it is good for | What is usually missing |
|---|---|---|
| YouTube / free resources | Exploring topics cheaply | sequence, accountability, review |
| Self-paced courses | Structured fundamentals at your own pace | feedback on your own work |
| Large bootcamps | broad curriculum and peer learning | review depth can vary |
| ProdXVerse | live project work, founder-led product perspective, feedback, AI-assisted workflow, portfolio direction | requires time and active participation |
If your main gap is structure + practice + feedback + portfolio, this programme is built around that gap.
Your lead mentor
Taught from a working product perspective.
Ishtiaq Shaheer
Founder, ProdXVerse & Desisle
10+Years designing digital products
60+SaaS products shipped
US · UK · UAEClient markets via Desisle
Ishtiaq is a product designer and founder of Desisle, a design and development studio. His work has covered product UX, SaaS, websites, design systems and digital experiences across multiple industries and markets.
ProdXVerse was started after seeing the same pattern repeatedly: people could use design tools, but struggled when asked to:
- define the problem
- handle product constraints
- explain their choices
- design complete states
- collaborate with development
- turn the work into a case study
That gap is what the programme is built to close.
Guest experts and mentors
Working practitioners who teach, review and speak in ProdXVerse sessions, across product, design and engineering.
-
SWAROOP v
Co-Founder
-
Ramohan Reddy Sure
Senior Associate Software Engineer
-
Mohammed khalid
Software Engineer
-
Kiran Reddy
AI Automation and Analytics
-
Mohammad Gouse (MG)
Senior Data Analyst
-
Rohit Bhardwaj
Founder
-
Sooraj KR
Co-Founder & Managing Director
-
Teena George
Co-Founder & CEO
How review works
Feedback is not “looks good”.
A useful review should tell you what is unclear, where the flow breaks and how to explain the decision better.
Depending on the selected cohort plan, feedback may include live critique, annotations, async comments or mentor review.
what is unclear
where the flow breaks
what you assumed without evidence
what state you forgot
what hierarchy is competing
what needs more research
what can be simplified
how to explain the decision better
After the portfolio
Career support should prepare you. It cannot make the hiring decision for you.
Where included, ProdXVerse career support can cover:
- resume review
- LinkedIn profile review
- portfolio structure
- case-study presentation
- interview practice
- design-challenge discussion
- curated job opportunities
- relevant introductions where a genuine match exists
We do not guarantee a job.
Hiring depends on your work, communication, location, experience, role requirements and employer decision. That is why our focus stays on improving the things you can control.
Do you provide internships?
Top-performing learners may be considered for separate project or internship opportunities through Desisle or the extended network when genuine opportunities are available. This is not guaranteed and is not part of every learner’s outcome.
Learners who need a structured practice route can also explore the separate Applied Internship Training programme.
Do I receive a certificate?
Yes, where certification is included in the selected cohort, learners who meet the completion requirements receive a ProdXVerse Certificate of Completion - UI/UX & Product Design.
The certificate confirms completion of the programme. It does not replace your portfolio, guarantee employment or claim external accreditation unless explicitly stated.
Programme fee
Know what you are paying for.
Pro Designer Cohort
Current public fee
₹24,999
or ₹12,499/month for 2 months
1-on-1 Elite Mentorship
₹49,999
or ₹16,666/month for 3 months
Included
- 12-week live curriculum
- project briefs
- assignments
- mentor / critique sessions as defined for the cohort
- portfolio guidance
- career-preparation sessions
- programme resources
- completion certificate if requirements are met
Questions before you apply
UI/UX & Product Design FAQs
Is UI/UX still a good career in 2026 with AI improving so quickly?
AI is changing how quickly interface ideas, copy and prototypes can be produced. It does not remove the need to understand users, define product problems, structure flows, evaluate usability and make trade-offs. The programme therefore teaches AI-assisted workflows alongside core product-design judgment.
Is this course suitable for complete beginners?
Yes. The curriculum begins with UI/UX and product fundamentals before moving into research, flows, UI, systems and portfolio work. Beginners should still expect regular practice outside live sessions.
Do I need a design degree?
No. Product Design hiring is usually portfolio- and skill-led. A degree can be useful, but this programme does not require a formal design degree to start.
Do I need to know Figma before joining?
No. Figma foundations are part of the programme. If you already know the basics, the focus shifts quickly toward reusable systems, product workflows and applying Figma to real design problems.
Do I need coding experience?
No. Coding is not required to learn UI/UX and Product Design. Understanding how products are built can make collaboration stronger, so the programme may include basic design-to-development and AI-assisted build exposure.
Will I build a portfolio?
Yes. Portfolio-ready work and case-study development are core outcomes. The quality of the final portfolio still depends on completing the project work and applying feedback.
How many projects should a beginner UI/UX portfolio have?
Two or three strong projects are usually more useful than a large collection of shallow redesigns. Your projects should show the problem, your role, decisions, process, iteration and final solution clearly.
Will I work on real client projects?
Not every project is a client project. The programme uses realistic product briefs and may occasionally include genuine project opportunities. Work is described as client work only when a real client supplied the brief and portfolio permission exists.
Is this only a UI course?
No. Visual UI is one part. The programme covers research, problem definition, product strategy, information architecture, user flows, wireframes, prototyping, design systems, SaaS UX and portfolio storytelling.
How is AI used in the course?
AI is used throughout the workflow for tasks such as research synthesis, ideation, UX writing, documentation and faster exploration. Learners also review where AI outputs are incomplete, generic or unsafe to trust without human judgment.
Will I learn SaaS design?
Yes. SaaS workflows are included because they expose learners to complex product problems such as dashboards, roles, tables, forms, filters, onboarding, billing-like flows, empty states and permissions.
Will I get personal feedback?
The programme is built around review, but the exact format depends on the cohort plan. The number and type of reviews are stated before payment, and group-based feedback is never described as "1:1".
Do you guarantee placement?
No. ProdXVerse provides career preparation and can surface opportunities or introductions where available. Employers make final hiring decisions.
Do you provide internship opportunities?
Selected learners may be considered for genuine opportunities through Desisle or the wider network when available. This is performance- and availability-based, not guaranteed. A separate learner-funded Applied Internship Training programme is also available for structured supervised practice.
Is this live or recorded?
The flagship programme is live. If recordings are provided, they should be treated as backup/reference material rather than the main learning experience.
What if I miss a class?
Where recordings are available, you can catch up, but project deadlines and feedback cycles still matter. The programme works best when you stay close to the cohort schedule.
How much time should I spend each week?
Plan for around 8-12 focused hours each week across live sessions, assignments, project work and revisions. Learners building deeper case studies may spend more.
Can I join while working full-time or studying?
Yes, if the live schedule fits and you can protect weekly project time. The workload should be considered before enrollment rather than after the cohort starts.
What roles can this programme prepare me to explore?
Depending on your portfolio and background, the skills are relevant to UI/UX Designer, Product Designer, Junior Product Designer, SaaS Designer and related digital-product roles. Role eligibility depends on each employer’s requirements.
Is the certificate industry-recognised?
The certificate is issued by ProdXVerse and confirms programme completion. It is not described as externally or "industry" accredited unless an external recognition arrangement exists.
What is the difference between AI Product Builder and this programme?
AI Product Builder gives you a broad end-to-end build experience from idea to live product. UI/UX & Product Design goes much deeper into design research, interaction, visual craft, systems, SaaS UX, case studies and a design-career portfolio.
If design is your path
Stop practising isolated screens. Start learning how products fit together.
Learn the process. Build the work. Get it reviewed. Make the next version stronger.