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AI-Native Product Designer Course Pune — Figma workstation with AI design tools | MCAL Global
Pimpri’s Only AI-Native Design Bootcamp · 14 Weeks · Ship a Live Product

The AI-Native
Product Designer
Course

Stop making mockups. Start shipping products. In 14 weeks, go from design beginner to launching a live, working product used by real people — with AI as your accelerator, not your crutch.

Not sure if this is right for you? Take the free AI Maturity Assessment →

14 Weeks · 90 min/day Classroom · Pimpri, Pune 15–20 Seats per Cohort
Figma Claude Galileo AI Uizard Lovable.dev Webflow Supabase WCAG AA

AI-Native Product Designer Course — Key Facts

105+

Classroom Hours
+ 70 hrs guided homework

12+1

Modules + Capstone
Across 4 phases

1

Live Product Shipped
With real users

₹10–37 LPA

Target Salary Range
AI-skilled designers, India

“Most designers today use AI reactively — only when stuck. The designers who will lead the next decade are the ones who orchestrate AI across the entire product workflow, while keeping human judgment at the centre.”

— Lead Instructor, AI-Native Product Designer Course

The Ship-a-Product Difference

What Makes This Not Another Figma Course

Most design courses teach you to make screens look pretty. This one teaches you to ship products users actually use.

MCAL AI-Native Designer Bootcamp vs Generic Online Design Course — Feature Comparison
MCAL AI-Native Designer Bootcamp Generic Online Design Course
Design Judgment3 weeks dedicated to UX fundamentals before any AIJumps straight to tools
AI OrchestrationStrategic deployment — when to use, when to override“Prompt this tool” tutorials
End DeliverableLive URL · 50+ real users · WCAG AA compliantMockups & slide decks
Design SystemsToken-based system + developer handoff specsRarely covered
AccessibilityDedicated module + enforced throughoutMentioned, not practiced
User ResearchReal user interviews before any design workAssumed or skipped
Employer Signal“This designer has shipped a real product”“This person watched videos”

The Capstone Arc

One Continuous Build. From Problem to Launch.

Every module builds toward one outcome: a live, deployed web product you designed, built, and launched yourself.

Designer at work building live product
Progressive Build

From Week 1, You Ship Toward a Real Product

Every module adds a new layer to your live product

Most courses separate “learning” from “doing.” At MCAL, they happen simultaneously. By Week 3, you’ve validated a real local problem. By Week 9, you have a working prototype connected to a real database. By Week 14, you’ve launched.

Weeks 1–3→ Validate a real problem with user interviews
Weeks 4–6→ Synthesise research + AI-assisted ideation
Weeks 7–9→ Generate UI, refine in Figma, connect to database
Weeks 10–12→ Accessibility audit + developer handoff
Weeks 13–14→ Deploy live. Real users. Iterate.
Capstone launch with real user analytics
Capstone — Weeks 13 & 14

Launch a Product That Matters

Live URL · 50+ real users · Documented case study

You select a real local problem: student housing, neighbourhood health resources, service booking for elderly residents, small business scheduling, local event discovery. You validate it, design the solution, build it, launch it, and test with real users.

Problems Past Cohorts Have Tackled:

Student Housing Discovery — Location-matched listings with verified landlord profiles
Neighbourhood Health Resources — Search and filter local clinics, pharmacies, and specialists
Elderly Service Booking — Accessible UI for home visits, caregiving, and transport
Small Business Scheduling — Booking and reminder system for local salons, tutors, services
Local Event Discovery — Community events, venues, and RSVP with calendar sync

Why employers hire AI-native designers at ₹22–37 LPA — The capstone proves you can integrate user research, design systems, AI-accelerated workflows, accessibility compliance, and live deployment — all in one shipped product.

The Market Is Shifting — Now

AI-Native Design Is the Hiring Requirement

The numbers designers can’t ignore — from the Indian job market and the global AI design tools economy.

$34.09B

AI Design Tools Market by 2035

Up from $8.32B in 2025 — growing at 15.15% CAGR.

₹10–18 LPA

Mid-Level AI Designer · Pune

Product designers with AI skills are commanding premium pay in Pune’s tech market.

₹22–37 LPA

Senior AI-Proficient Designer

Senior designers with 5+ years and AI orchestration skills at top Indian tech firms.

₹5–30 LPA

Fintech Product Design

India’s highest-paying sector for product designers — hiring aggressively in 2025–26.

Market data: MarketResearchFuture AI Design Tools Report, AND Academy India Salary Benchmarks, LinkedIn UI/UX Trends India 2025.

Complete Curriculum

12 Modules · 4 Phases · Judgment Before Acceleration

Every module ends in a named Lab deliverable. Every deliverable goes into your portfolio.

01

Phase 1 · Weeks 1–3

The Designer Foundation

Earning design judgment before any acceleration

User psychology, mental models, and how great design works with instincts not against them
Gestalt principles and the cognitive foundation of visual hierarchy
Structured design critique frameworks — evaluating products by evidence, not taste
The complete design thinking pipeline: discover → define → ideate → prototype → test

Lab: Critique 3 live products using a structured evaluation framework — identify what works, what fails, and why

Design judgment established — you can now evaluate any product objectively

Layout systems and grid logic — designing with structural intent
Typography hierarchy, readability, and pairing for professional products
Colour psychology and accessible contrast ratios (WCAG foundations)
Responsive design for mobile and desktop — breakpoint strategy
Interaction states: hover, focus, error, empty — the 80% of design most miss

Lab: Build a fully responsive 4-screen UI in Figma demonstrating layout, typography, and state management

Figma proficiency achieved — your first portfolio-quality screens

Conduct real user interviews — not surveys, not assumptions
Build evidence-based personas from actual user quotes and observed behaviour
Create journey maps that expose pain points and unmet needs
Validate that a problem genuinely exists before committing to any solution

Lab: 3 completed user interviews, a synthesised persona, and a validated problem statement for your capstone

Capstone problem locked in — built on real user evidence

02

Phase 2 · Weeks 4–6

AI as a Design Accelerator

Multiplying productivity with strategic AI deployment

Demystify generative models — what they optimise for, where they fail
Prompt engineering for design contexts — brief an AI like a junior designer
The critical mental model: AI accelerates execution; humans own judgment
Identifying AI failure modes — hallucination, generic defaults, cognitive bias amplification

Lab: A documented prompt library for 5 core design tasks — with annotated strong-vs-weak examples and output quality analysis

AI fluency earned — you can now direct AI, not just react to it

Use Dovetail to tag and analyse interview transcripts at scale
Synthesise research insights using Claude — then validate against raw data
Build personas that are evidence-rooted, never AI-invented
Catch hallucinations and misattributions before they poison design decisions

Lab: A fully synthesised research report from your 3 interviews — cross-validated between AI synthesis and manual analysis

Research synthesis multiplier unlocked — 10x faster without losing rigour

Use AI to generate 20+ design directions rapidly
Apply structured divergent / convergent thinking to evaluate outputs
Maintain design rationale grounded in user research — every concept traces to a user insight
Defend a final direction against alternatives with evidence

Lab: A concept exploration document — 10+ AI-generated variations, evaluated against user criteria, with a defended final direction

Concept convergence achieved — ready to build

03

Phase 3 · Weeks 7–9

Generative UI & Real Prototypes

Shipping working products, not mockups

Generate UI screens from text descriptions and rough wireframes using Galileo AI, Uizard, Visily
Identify and correct the 7 most common AI-generated UI mistakes
Inconsistent spacing · inaccessible contrast · missing states · generic layouts
Maintain visual consistency and brand coherence across AI-generated screens

Lab: A 10-screen UI flow generated with AI, refined in Figma, with documented “before vs after” critique showing design judgment applied

UI generation mastered — AI output that doesn’t look AI-made

Create interactive prototypes in Figma with realistic flows and micro-interactions
Deploy via Lovable.dev or Webflow — from design to live URL
Connect Firebase or Supabase for real data persistence
The difference between a clickable mockup and a product users can actually use

Lab: A deployed working prototype with a public URL and at least one real database interaction (form submission, login, or data display)

Your product is now LIVE on the internet

Build a token-based design system: colour, typography, spacing, semantic tokens
Create a reusable component library with documented variants, props, and usage guidelines
Prepare design artifacts for developer handoff using Figma Dev Mode
Tokens Studio and Supernova workflows for enterprise-scale design systems

Lab: A complete design system with 20+ components, fully documented tokens, and a written handoff spec developers can execute without a meeting

Enterprise-grade systems skill unlocked — this is what senior roles require

04

Phase 4 · Weeks 10–12

Professional Design & Future Skills

Professional excellence and long-term capability

Design for WCAG AA from the ground up — not as an afterthought
Audit your product with Google Lighthouse and axe DevTools
Design for neurodiversity, cognitive load, and users with disabilities
Identify and eliminate dark patterns — the ethical designer’s responsibility

Lab: A full accessibility audit of your capstone with documented remediation — contrast fixes, focus states, alt text, keyboard navigation

WCAG AA compliance achieved — your product is genuinely inclusive

Write specifications developers can execute without ambiguity
Component props documentation, interaction state logic, animation easing
Run a design review that aligns engineers, PMs, and stakeholders
Communicate design rationale using evidence, not taste

Lab: A complete developer handoff document — reviewed and approved in a mock design review session

Stakeholder communication mastered — you can lead design reviews

Voice interface design with Voiceflow — the next UX frontier
Spatial design fundamentals for AR/VR product surfaces
Enterprise-scale design systems — Tokens Studio, Supernova workflows
Map your career trajectory: freelance, in-house, startup, design leadership

Lab: A personal career roadmap with a 6-month skill development plan post-graduation

Course complete — capstone launch ahead

Capstone · Weeks 13 & 14

Launch. Iterate. Present.

Two weeks of intensive build, launch, and iteration. Deploy to Vercel or Netlify. Test with real users. Document your case study. Present to cohort and invited industry guests.

Live product URL on Vercel or Netlify
50+ real user signups or sessions
Documented case study with iteration log
Professional portfolio website with 4 projects

What You Will Be Able to Do

Job-Ready. Portfolio-Proven. Shipped.

Discover and validate real user problems through structured interviews, journey mapping, and job stories — before designing anything

Design usable, accessible, ethical products that meet WCAG AA compliance and serve users first

Orchestrate AI across your workflow — research synthesis, persona generation, UI creation, documentation — without dependency or blind trust

Build and ship a live web product using no-code platforms connected to real databases — no coding required

Construct a production-grade design system with reusable components, documented tokens, and developer-ready specifications

Communicate with developers, PMs, stakeholders — write specs others can execute; lead design reviews with confidence

Evaluate AI output critically — know when AI suggestions improve design, and when your judgment must override

Present a 4-project professional portfolio with live links, case studies, and documented design thinking that impresses hiring managers

~90%

Graduate Ship Rate

Launch products meeting the 50+ real user target

95%+

WCAG AA Compliance

Graduates achieving accessibility on shipped product

100%

Capstone Completion

Every student completes and presents their capstone

Tech Stack

Tools & Technologies You Will Master

Hands-on, project-proven experience with every tool in this stack by graduation.

Design & Prototyping

Figma, Framer, Webflow, Figma Dev Mode

AI Acceleration

Claude, ChatGPT, Galileo AI, Uizard, Visily, Midjourney, Adobe Firefly, Lovable.dev

Research & Synthesis

Dovetail, Voiceflow, structured interview methods

Build & Deploy

Firebase, Supabase, Vercel, Netlify, GitHub Pages

Accessibility & QA

Google Lighthouse, axe DevTools, WCAG AA

Design Systems

Tokens Studio, Supernova, Figma Components

Conversational UX

Voiceflow for voice and conversational prototyping

Visual Generation

Midjourney, Adobe Firefly for illustration and variation

Figma Framer Webflow Claude ChatGPT Galileo AI Uizard Visily Midjourney Adobe Firefly Lovable.dev Dovetail Voiceflow Firebase Supabase Vercel Netlify Google Lighthouse axe DevTools Tokens Studio Supernova

Who Should Enroll

Built for People Who Want to Ship

Three groups, one goal: launching real products, not building academic portfolios.

Beginners with No Design Background

Career changers, entrepreneurs, PMs, and students looking to design their own products from scratch.

Prerequisites: Curiosity and willingness to ship imperfect early work. No Figma experience required.

→ Zero to live deployed product in 14 weeks

Traditional Designers Seeking AI Integration

UX/UI professionals with 1–5 years of experience wanting to multiply workflows with AI — without losing rigour.

Prerequisites: Basic Figma proficiency and internalised design fundamentals.

→ Accelerated track through foundations

Developers Wanting Design Judgment

Software engineers and no-code builders who can implement but lack design thinking and research skills.

Prerequisites: Technical comfort with databases, APIs, and deployment concepts.

→ Lead full-stack product work independently

Why MCAL Global

Pimpri’s Only Ship-a-Product Design Bootcamp

Judgment before acceleration — 3 weeks of UX fundamentals before any AI tool, so you can evaluate AI output critically instead of trusting it blindly

Every module ships something real — 12 Lab deliverables + a live deployed capstone product, not slide decks and certificates

Small in-person cohorts (15–20 seats) — Daily lab feedback from instructors actively shipping products, plus peer critique online platforms cannot replicate

AI as an orchestrated multiplier — Not a gimmick — so graduates can command the ₹10–37 LPA premium AI-native designers are earning in Pune today

Designed for working professionals — 90 minutes daily, Monday to Friday, evening-friendly, with flexible capstone extension at no extra cost

Authority & Trust

Proof, Not Promises

15,000+ professionals from India’s top enterprises have trained with MCAL Global since 2010.

IIBA Endorsed

16+ Years

Global Footprint

Enterprise Trusted

Infosys Wipro Accenture TCS IBM ICICI Bank HDFC Bank Barclays Capgemini Deloitte HP Cognizant SBI Credit Suisse Citibank Oracle DBS Bank Persistent Tata Capital Kotak Mahindra BMC Software Syntel Zensar Bajaj Allianz

Graduate Outcomes

What Our Graduates Say

"I came in with zero design background. By Week 10, I had a live product with 70+ signups. Two recruiters messaged me on LinkedIn after seeing my portfolio — before I even started applying."

Beginner Graduate

Career Switcher · Now Junior Product Designer

"I'd been a UI designer for 3 years but always felt shaky on research and AI. The Dovetail + Claude synthesis module alone 4x'd my research speed at work. My lead noticed in a week."

Mid-Level Designer

SaaS Product Team · Pune

"As a developer, I always struggled to explain design decisions. The design systems module gave me the vocabulary and structure. I now lead design reviews in my startup — no separate designer needed for v1."

Developer-Turned-Founder

Early-Stage Founder

Frequently Asked

Questions & Answers

No. The course is built for complete beginners, experienced designers, and developers. Modules 1.1 and 1.2 teach design fundamentals from first principles — we assume zero Figma knowledge. If you can think clearly about user problems and are willing to ship early work, you are ready.
Part-time. 90 minutes of classroom time per weekday + 1–2 hours of homework. Total: ~3–3.5 hours per day. Designed for working professionals. Capstone (Weeks 13–14) requires more intensive effort.
No. Experienced designers often haven't integrated AI strategically into their research-to-handoff workflow — or lack structured research and validation skills. During onboarding, you get an "accelerated track" that moves you through foundations faster and focuses your energy on Phases 2–4.
No. The course teaches no-code tools (Lovable.dev, Webflow, Framer) that convert designs into working web products without writing code. Developers may use code if they prefer — it's optional. The focus is shipping a working product, not the implementation language.
Yes. You select a real local problem — student housing, neighbourhood health resources, service booking for elderly residents, small business scheduling, local event discovery — anything that affects people in your community. You validate it, design it, build it, deploy it, test it. Target: 50+ real signups.
Product designers in Pune command ₹4–20 LPA, with AI-skilled mid-level designers earning ₹10–18 LPA. Senior AI-proficient designers (5+ years) reach ₹22–37 LPA at top tech firms. Fintech — the highest-paying sector — pays ₹5–30 LPA.
In-person only, at Pimpri, Maharashtra. The daily live labs, peer critique, and immediate instructor feedback are core to what makes this program effective. If you cannot attend in Pimpri, we recommend waiting for a future online cohort.
Laptop (Mac, Windows, or Linux) with ≥8GB RAM and ~20GB storage. Figma free tier covers all course needs. ChatGPT/Claude free versions adequate. Firebase, Supabase, Vercel, Netlify all have free tiers sufficient for the capstone. Optional premium: ~₹2,500–4,000/month. No purchase required to complete the course.
~90% of graduates ship and launch products meeting the 50+ real user target. 100% complete the capstone. 95%+ achieve WCAG AA accessibility compliance on shipped products.
Full refund within 7 days of enrollment. 50% refund if you withdraw before Week 5. No refund after Week 5, as classroom instruction is live and course content is fully in progress. See enrollment terms for complete details.
No formal accreditation. But employers care about three things: your live product, your portfolio, and your ability to explain your design decisions. Graduates with strong portfolios and a deployed product consistently land junior-to-mid product design roles within 3–6 months.
Call +91 97505 95595 or email info@mcal.in. You can also visit us at 613, Vision Flora, Pimple Saudagar, Pune. New cohorts start monthly.

Your Next Step

Ready to Ship Your First
Real Product?

In 14 weeks, go from “I want to learn design” to “Here’s the URL of the product I shipped.”

105+ hours · 12 modules · 4 phases · Live deployed capstone · Portfolio-ready

+91 97505 95595 · info@mcal.in · 613, Vision Flora, Pimple Saudagar, Pune