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AI in UX/UI Design

Two skills in one course: design AI-powered products (chat, copilots, agents) and use AI responsibly to work faster — while keeping the judgement human.

💳 ₹35,000 incl. GST · 6 weeks · EMI available · see all fees

Overview

About the programme

One of the fastest-growing skills in design — learn to design with AI tools, not be replaced by them. 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 weeks, live cohort format
  • Level: Working designers
  • Fee: ₹35,000 incl. GST (EMI options available)
  • Assessment: Project work + live portfolio jury, verifiable certificate ID
  • Schedules: Weekday evening, weekend and blended options
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Full stage-by-stage syllabus · instant PDF after a 10-second form

Concept illustration for AI products workshop: two translucent frosted interface panels depicting a blank human approval card between a user input card and generated output panel.

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.

Filling fast · few seats
Aug 2026
13
Thursday start
Weekday evening batch (Tue/Thu)
Reserve a Seat
Aug 2026
28
Friday start
Weekend batch (Sat–Sun)
Enrol
Sep 2026
12
Saturday start
Weekday evening batch (Tue/Thu)
Enrol
Sep 2026
27
Sunday start
Weekend batch (Sat–Sun)
Enrol

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

  • Working UX/UI and product designers
  • Product managers shipping AI features
  • Content designers writing for AI interfaces
  • Recent graduates future-proofing their skill set

Learning outcomes

By graduation you will

  • Design chat, copilot and agent interfaces with confidence patterns
  • Handle uncertainty, hallucination and graceful failure in UI
  • Accelerate research synthesis and ideation with AI — judgement kept human
  • Draw the ethical line: trust and transparency without dark patterns

Tools covered

Current AI assistants & copilotsPrompt patterns for design workAI prototyping workflows

Curriculum

What you will learn, stage by stage

Week 1 · The AI Design Landscape

How AI products actually fail users; a designer's working model of LLMs (no math); structured teardowns of leading copilots and chat products. You select the AI feature brief you'll carry through the course.

Week 2 · Core AI Interaction Patterns

Prompt and input affordances, response streaming, citations, confidence display; chat, copilot and agent pattern languages. Design your feature's happy path to professional fidelity.

Week 3 · Trust, Failure & Safety

Hallucination and error states, empty and loading states for probabilistic systems, human handoff, transparency without dark patterns. Redesign your flows for the moments AI gets it wrong.

Week 4 · AI as Your Design Accelerator

AI-augmented research synthesis, ideation and production workflows; prompt craft as a design skill; where judgement must stay human. Rebuild a full workflow with measurable time savings.

Week 5 · Prototype & Test with Real Users

Build a working prototype of your AI feature and run moderated tests; measure trust and comprehension, not just task success; iterate on evidence.

Week 6 · Ship-Ready & Showcase

Final iteration, ethics-and-trust review, and presentation of the complete feature to the cohort and an AI product design lead. Deliverable: a portfolio-grade AI product case study — the piece that gets AI-era interviews.

Why this programme

Three reasons learners choose it

Both sides of AI

Design for AI products and with AI tools — one programme.

Durable patterns

Principles that survive tool churn.

Responsibility review

Every capstone passes an ethics and trust check.

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.

Meet all our mentors →

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 real project work and a final portfolio jury — not attendance. Every graduate receives a certificate with a unique, verifiable ID. Assessment rubrics are public.

Will AI replace designers?
AI replaces tasks, not judgement. This programme moves your value into the parts that don't automate — research with humans, decisions and accountability.
Is it tool-specific?
We teach durable patterns demonstrated on current tools. When the tools change, the thinking survives.
How often do batches start?
Every 15 days — as a 6-week programme, that means overlapping cohorts and plenty of start options; see the dates above.
I'm a PM, not a designer. Can I join?
Yes — PMs shipping AI features are one of the core audiences; you'll leave able to spec and evaluate AI experiences credibly.
Do I need to understand machine learning?
No. Week one gives you a designer's mental model of AI — no math required.
What does the capstone involve?
An AI-powered feature designed end-to-end — patterns, failure states, trust — passed through a responsibility review before a panel.
Is there an alumni discount?
Yes — Agile Design School alumni receive a preferential rate on this course.

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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.

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A live 45-minute session · No pressure, no hard sell

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