What is the prerequisite for the Master course?

One year of professional design experience in any role, or completion of the UI UX Design Pro course. We verify experience at application. If you are unsure whether your background qualifies, email hello@designient.com before applying.

How is the Master different from the Pro course?

Pro takes a complete beginner to job-ready. Master takes an experienced designer to senior, lead, or principal level. The curriculum depth, brief complexity, client project scope, and specialisation modules are all significantly more advanced. The diploma certification is only available through the Master course.

The curriculum includes an AI product strategy module. Is that the same as the AI Product Design Course?

No - the module in Master is a 2-week strategic overview. The AI Product Design Course is a 6-week deep specialisation covering AI behaviour design, all 8 AI states designed in Figma, functional prototyping in Bolt/v0, and two portfolio case studies. If you want the full depth, take both. Master graduates receive Rs 5,000 off the AI Product Design Course.

Do I need to have completed the Pro course first?

Not necessarily. One year of professional experience in any design role is an equivalent qualification. We assess this at application.

How does the diploma differ from a certificate?

A certificate confirms completion. The Designient diploma confirms completion of the most advanced course in the catalog - 200+ hours, two real client projects, six specialisation modules, and a capstone. It is a stronger credential and the only qualification Designient issues at diploma level.

Can I take the Master course while working full-time?

Yes. The commitment is approximately 10–12 hours per week across 6 months. Two live sessions per week plus async deliverable work. Students with senior full-time design roles complete this course every cohort. The structure is built for working professionals.

What happens after the Master course?

Six months of placement support plus lifetime mentorship access. The natural next course for graduates who want to specialise further in AI product design is the AI Product Design Course, available at Rs 5,000 off for Master alumni.

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Most Advanced · Design Track · Step 3 · 6 Months · 15 Students Per Cohort · Diploma Certified

UI UX Design Master Course: From Competent Designer to Senior, Lead, or Principal in 6 Months

The most advanced design course Designient offers. Six months of deep curriculum, live mentorship, real client projects, and six specialist modules - including AI product strategy, design systems at scale, and design leadership. Completed with a diploma certification.

6 Months120 Live Hours200+ Total Hours15 Students MaxDiploma CertificationPlacement Support Included

Last updated: 9 June 2025

Students Per Cohort

Specialisation Modules

200+

Total Hours

Diploma

Certified

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6 Months

6 months · 120 live hours · 200+ total hours
Two real client projects + capstone
Six specialisation modules including AI product strategy
Diploma certification on completion

UI UX Design Master

UI UX design students presenting portfolio projects to mentor

Design Track · Step 3

Six months. 15 students per cohort. Diploma certified.

Most advanced course

The Most Advanced UI UX Design Course at Designient

This is Step 3 of the Design Track - the endpoint of a curriculum built to take a designer from complete beginner all the way to senior, lead, or principal level. The Bootcamp proves the path. Pro builds the foundation. Master builds the career.

The Master course is not a longer version of Pro. It assumes you can already design. It focuses on what separates a competent designer from one who leads: design strategy, advanced systems, AI product thinking, stakeholder management, and the kind of portfolio that gets responses from design directors, not just hiring coordinators.

What You Will Build and Deliver in 6 Months

Across 6 months and 6 modules, you build a portfolio that reflects senior-level thinking - not just execution. The artefacts are real deliverables on real briefs, reviewed by mentors and in some modules by client stakeholders.

By the end of month 6:

Month 16-month build pathMonth 6

Specialist modules

Months to ship

Client projects

Module 1

Deliverable 1

A complete design system at enterprise scale - tokens, components, documentation, governance model

Module 2

Deliverable 2

Two real client case studies from the project modules

Module 3

Deliverable 3

An AI product strategy artefact - a feature brief and behaviour spec for an AI-native product (2-week overview module)

Module 4

Deliverable 4

A design leadership portfolio artefact - a design critique you facilitated, a stakeholder presentation you delivered, or a design process you defined for a team

Module 5

Deliverable 5

A capstone project - a full end-to-end design problem of your own choosing, completed in month 6

Module 6

Deliverable 6

A diploma certificate

Every deliverable below is built during the course - not after it.

The 6-Month Curriculum

Module 1: Advanced Design Systems (Month 1)

Design tokens at scale. Multi-brand theming. Component governance. Documentation standards. Design system versioning and contribution models. DesignOps - how design teams manage and maintain systems at speed.

Tools: Figma (advanced), Figma tokens

Deliverable: Enterprise-grade design system with documentation and governance model

Module 2: Advanced UX Research and Strategy (Month 2)

Research at scale - running studies with 50+ participants. Quantitative UX - survey design, analytics, A/B test design and interpretation. Jobs to Be Done at strategic level. Research operations - how to build a research practice in a product organisation. North star metrics and design KPIs.

Tools: Claude (research synthesis and analysis), Perplexity, Figma

Deliverable: Strategic research report and measurement framework for a real product

Module 3: Real Client Project 1 (Month 3)

Assigned brief from a real client. End-to-end ownership - research, strategy, design, prototype, handoff. Client feedback rounds. Presentation to stakeholders.

Tools: Full toolchain

Deliverable: Client project 1 - full case study, design files, client handoff documentation

Module 4: AI Product Strategy (Month 4)

Overview of AI product design as a discipline. How AI changes product strategy - non-deterministic output, probabilistic UX, trust as a design variable. Speccing AI features - what to include in a product brief when the output is AI-generated. Designing AI onboarding flows. This module is a strategic overview - 2 weeks of depth. Students who want 6 weeks of depth on AI behaviour design, trust UI, error states, and prototyping AI features should take the AI Product Design Course after or alongside this module.

Tools: Claude (behaviour spec writing), Figma

Deliverable: AI product strategy brief and feature specification

Module 5: Design Leadership and Stakeholder Management (Month 5)

Facilitating design critiques. Presenting design decisions to non-designers. Managing design in cross-functional teams. Design career pathing - IC track vs management track. Building a design culture. Design hiring.

Tools: Claude (presentation writing, stakeholder communication)

Deliverable: Design leadership artefact - critique facilitation, stakeholder presentation, or process definition

Module 6: Real Client Project 2 and Capstone (Month 6)

Real client project 2 assigned in week 1 of month 6 - smaller scope, faster turnaround, senior decision-making required. Capstone project - a self-directed end-to-end problem that demonstrates the full 6-month curriculum in one piece of work. Portfolio presentation. Diploma awarded.

Tools: Full toolchain

Deliverable: Client project 2 · Capstone project · Portfolio presentation · Diploma certificate

The Toolchain: Figma, Claude, Perplexity

Figma

Claude

Perplexity

Figma

Advanced design systems, tokens, multi-brand theming, and UI execution across all six modules.

Claude

Research synthesis, AI behaviour specs, presentation writing, and stakeholder communication.

Perplexity

Strategic research, competitive analysis, and market context in Module 2.

Your Path Before and After This Course

Design Track progression - where Master sits as the advanced endpoint.

Step 101

UI UX Design Bootcamp

…

entry point

Step 202

UI UX Design Pro

10 weeks · …

foundation course

Step 303

UI UX Design Master

← You are here

Prerequisites:

Option A: Completion of UI UX Design Pro
Option B: 1+ years of professional design experience

After Master: The natural progression is the AI Product Design Course for designers moving into AI-native product roles.

AI Product Strategy Module - and How It Differs from the AI Product Design Course

This is the most important distinction to understand before enrolling.

The Master curriculum includes a 2-week AI product strategy module in month 4. It covers the strategic layer - how AI changes product thinking, how to brief an AI feature, how to think about trust and uncertainty at a product level. It is the right depth for a designer who needs to work within AI product teams and understand the strategic context.

The AI Product Design Course is a separate 6-week standalone course that goes significantly deeper on the execution layer - designing all 8 AI states in Figma, writing full AI behaviour specifications, building functional Bolt/v0 prototypes of AI features, and producing two portfolio case studies specifically in AI product design. That course is built for designers and PMs who want AI product design as their primary specialisation - not as one module within a broader curriculum.

Who should take which:

If you want a complete advanced design curriculum that includes AI product strategy as one of six modules - Take the Master course.
If you want to specialise specifically in designing AI-native products, trust UI, and AI behaviour design - Take the AI Product Design Course. It can be taken after Pro or alongside the Master.
If you want both - Take the Master for the full advanced curriculum, then the AI Product Design Course for the deep specialisation. Master graduates receive Rs 5,000 off the AI Product Design Course.

This Is the Course for Designers Who Already Know the Basics and Want to Lead

Most intermediate designers plateau. They know how to use Figma. They can produce clean screens. They have a portfolio. And they keep applying for senior roles and getting rejected because their work lacks the strategic depth, the systems thinking, and the leadership capability that senior roles require.

This course is built specifically for that plateau. The six months are structured around closing the gap between "I can design" and "I can lead a design function."

The prerequisite is one year of design experience - either professional experience or completion of the UI UX Design Pro course. If you are earlier in your journey, the Pro course is the right starting point.

Diploma certification15 students max per cohortSix specialist modules

Advantages vs generic courses

Specialisation modules

Prerequisite

1 year experience or Pro completion

Open to all

Diploma certification

Yes

Certificate only

Batch size

15 max

30 to 100+

Real client projects

Multiple across 6 months

0 to 1

Feature	UI UX Design Master	Generic Advanced Design Courses
Prerequisite	…	Open to all
Diploma certification	…	Certificate only
Batch size	…	30 to 100+
Real client projects	…	0 to 1
AI product strategy module	…	Rarely
Design leadership module	…	Rarely
DesignOps module	…	Rarely
Placement support	…	Limited
Duration	…	3 to 6 months self-paced
Mentor-to-student ratio	…	1:50 or no mentor

The Bonus Stack

Advanced Figma Systems Playbook

The exact approach to building, governing, and maintaining a multi-brand enterprise design system. Used directly in module 1.