INTERNATIONAL CERTIFICATE IN AI PRODUCT DESIGN
Become an AI-NATIVE DESIGN PRACTITIONER. Stay ahead of the curve with skills in Designing trust-calibration patternsArchitecting AI-native workflowsBuilding explainable AI (XAI) interfacesConducting AI-augmented researchDesigning for graceful failureManaging AI-augmented design systemsPrototyping intelligent experiencesAuditing designs for algorithmic bias
Cohorts from
12 Weeks (3 months)
Plus Access to Digital Resources
Weekly Sessions
Plus Mini-Projects, Capstone
1:1 Coaching
With Skill & Career Mentors
Why AI Design Now?
“All designers will eventually be Architects of Intelligent Experiences.”
77%
of design teams report that AI tools are already changing their day-to-day workflow but fewer than 1 in 5 designers feel confident using them professionally.
Source: Nielsen Norman Group
32%
Increase in AI roles, increasingly pulling designers into AI-driven product work.
Source: NASSCOM, SiliconIndia
Why AI Design
77%
of design teams report that AI tools are already changing their day-to-day workflow — but fewer than 1 in 5 designers feel confident using them professionally.
Source: Nielsen Norman Group
32%
Increase in AI roles, increasingly pulling designers into AI-driven product work.
Source: NASSCOM, SiliconIndia
About the AI Design Certification Program
This program is for designers and product professionals with or without a traditional design background who want to become AI native design practitioners. You will learn to amplify your creative intuition, solve complex interaction challenges, and future-proof your career in an automated industry.
You’ll learn how to integrate AI into your professional research and discovery workflows, build high-fidelity interactive prototypes at startup speed, and architect the trust calibration patterns that define next-generation AI products.
This is a learning-by-doing program featuring weekly live labs, industry practitioner spotlights, and unlimited 1:1 mentoring from global design leaders to ensure your work is portfolio ready.
Typical Learning Path for this Course
Weekly Faculty Sessions
Plus Practitioner Spotlight Master-classes
Hands-on Design Labs
Portfolio-grade Artefact Building
3x Capstone Projects
Progressive Research, Prototype, and Speciality Case Studies
Master Certificate
International AI UX Design Practitioner Credential
What you’ll get out of this Program
1 Program. 6 Outcomes
Who is this AI UX Design Certification for?
UX & Product Designers
looking to move beyond routine UI tasks, master AI native design patterns, and position themselves as senior practitioners who can architect complex, trust-based intelligent systems.
Product Managers & Founders
who want to eliminate design bottlenecks by mastering rapid prototyping tools, allowing them to validate product vision and interactive AI features in hours, not weeks.
Aspiring Design Professionals
from marketing, operations, or non-design backgrounds who wish to build a foundational "designer’s eye" and leverage AI to bridge the gap into the high value design economy.
Aspiring Design Professionals
from marketing, operations, or non-design backgrounds who wish to build a foundational "designer’s eye" and leverage AI to bridge the gap into the high-value design economy.
UX Researchers & Strategist
interested in leveraging AI for high-velocity qualitative synthesis, deep pattern recognition, and navigating the uniquely complex UX challenges of trust and explainability.
Topics covered in this Program
- Evolving role, responsibilities of Product Managers & essential skills required for success in AI Product Management
- Use artificial intelligence as a tool to enhance day-to-day work, decision-making, and strategic thinking.
- AI-driven data analysis and insights to inform and guide product decisions
- Translating business objectives into actionable AI product strategy execution & roadmap.
- Incorporate generative or predictive capabilities into product roadmaps seamlessly.
- Good grasp on AI Model lifecycle ensure successful productization of AI solutions with with Model Selection, Synthetic data generation, Fine-tuning, Model Deployment, Monitoring
- Articulate AI’s value proposition to both leadership and cross-functional teams.
- Ability to grasp the underlying principles of various AI models with Machine Learning foundations
- Prototyping & PoCs for validating ideas and demonstrating value with No-Code prototyping tools & Vibe Coding
- Solid grasp on how Large Language Models work, understanding how to craft & optimize prompts with Prompt Engineering techniques
- Hands-on experience in AI Agent Workflows & automation technologies
- Prioritize AI initiatives based on ROI, feasibility, and user impact.
This Program includes
Learning & Credentials
Tools & Labs
Resources & Showcase
90+ Hours of Live Labs, Masterclasses, and Project-Based Learning.
Advanced AI UX Guidebooks, Ethical Frameworks, and Design Toolkits.
Curated Practitioner
Library
Lifetime access to live session recordings and the AI Prompt Library.
Rapid AI Prototyping Jams for collaborative skill development with v0, Lovable, and Figma.
Live Portfolio Showcase Day with presentations to a jury of Industry Design Leaders.
Career Acceleration workshops & Mock Interviews with Senior AI UX Practitioners.
Dedicated 1:1 Portfolio Review and hosting to showcase your case studies to recruiters.
Exclusive access to the AI-Native Design Alumni Network for job referrals and field-level insights.
3 Course Certificates (101, 201, 301) + Globally Recognized Master Certification.
This Program includes
Learning & Credentials
90+ Hours of Live Labs, Masterclasses, and Project-Based Learning.
Lifetime access to live session recordings and the AI Prompt Library.
Career Acceleration workshops & Mock Interviews with Senior AI UX Practitioners.
3 Course Certificates (101, 201, 301) + Globally Recognized Master Certification.
Tools & Labs
Advanced AI UX Guidebooks, Ethical Frameworks, and Design Toolkits.
Rapid AI Prototyping Jams for collaborative skill development with v0, Lovable, and Figma.
Dedicated 1:1 Portfolio Review and hosting to showcase your case studies to recruiters.
Resources & Showcase
Curated Practitioner
Library
Live Portfolio Showcase Day with presentations to a jury of Industry Design Leaders.
Exclusive access to the AI-Native Design Alumni Network for job referrals and field-level insights.
Syllabus
AIUX-101 · UX Fundamentals
Week 1
Human-centred mindset and your real product challenge
Week 2
User research, synthesis and evidence-based personas
Week 3
Information architecture, wireframes and visual fundamentals
Week 4
Capstone presentation using the COPSYS framework
Weekly outcomes
- Choose a real product challenge to work on throughout the course
- Frame a clear problem statement grounded in user reality
- Understand the full UX design workflow from empathy to prototype
Coverage
- What UX design actually is — and isn't
- The Human-Centred Design framework
- How humans experience digital products
- Overview of UX research methods
- Introducing your Capstone Project
Tools covered
FigmaMiroClaude
ChatGPTWeekly outcomes
- Conduct a structured user interview
- Synthesize research into themes and insights
- Build an evidence-based persona and journey map
Coverage
- Planning and running user interviews
- Affinity mapping and research synthesis
- Building personas that reflect real people, not assumptions
- Customer journey mapping across touchpoints
- AI-assisted research synthesis — and when to question it
Tools covered
MiroClaudeChatGPTWeekly outcomes
- Map information architecture and user flows for your product
- Wireframe your two most critical screens in Figma
- Apply visual design principles to make your work look sharp
Coverage
- From insight to design direction using How Might We questions
- Information architecture and navigation design
- Low-fidelity wireframing conventions
- Prototyping basics in Figma
- AI design generation — useful starting point or dangerous shortcut?
Tools covered
FigmaMiroLovablev0Weekly outcomes
- Present a complete, end-to-end UX Case Study
- Communicate your design rationale with clarity and confidence
- Walk away with a portfolio piece ready to use professionally
Coverage
- The COPSYS framework for design storytelling
- How to present lo-fi work with senior-level confidence
- Structured peer critique and stakeholder Q&A simulation
Capstone outcome
A complete UX case study, presented end to end, ready for your portfolio.
AIUX-101
UX Fundamentals.
Think, research and communicate like a designer. No background required.
For professionals with no design background who want to think, research and communicate like a designer.
$399
Best for
I am new to design.
You sit in design reviews and cannot contribute the way you want to. You have strong opinions about products but no formal training to back them up. You want to switch into a design-adjacent role and need a portfolio piece to get there.
You walk out with
A complete UX case study, presented end to end, ready for your portfolio.
Four-week arc
- Human-centred mindset and your real product challenge
- User research, synthesis and evidence-based personas
- Information architecture, wireframes and visual fundamentals
- Capstone presentation using the COPSYS framework
Tools
Next cohort
Rolling cohorts
Live · 3 hours/week · 4 weeks
Prerequisites
No prior UX or design experience required. Comfort with everyday software and a willingness to do creative, exploratory work is enough.
AIUX-201 · Idea to Interface
Week 1
Problem validation, VPC and Assumption Risk Matrix
Week 2
AI-powered UX from flow to wireframe to prototype
Week 3
Experimentation planning and pitch preparation
Week 4
Demo Day with faculty and industry panel
Weekly outcomes
- Choose a real product challenge to work on throughout the course
- Frame a clear problem statement grounded in user reality
- Understand the full UX design workflow from empathy to prototype
Coverage
- What UX design actually is — and isn't
- The Human-Centred Design framework
- How humans experience digital products
- Overview of UX research methods
- Introducing your Capstone Project
Tools covered
ClaudeChatGPTPerplexityMiroWeekly outcomes
- Conduct a structured user interview
- Synthesize research into themes and insights
- Build an evidence-based persona and journey map
Coverage
- Planning and running user interviews
- Affinity mapping and research synthesis
- Building personas that reflect real people, not assumptions
- Customer journey mapping across touchpoints
- AI-assisted research synthesis — and when to question it
Tools covered
Lovablev0FigmaMiroUizardWeekly outcomes
- Map information architecture and user flows for your product
- Wireframe your two most critical screens in Figma
- Apply visual design principles to make your work look sharp
Coverage
- From insight to design direction using How Might We questions
- Information architecture and navigation design
- Low-fidelity wireframing conventions
- Prototyping basics in Figma
- AI design generation — useful starting point or dangerous shortcut?
Tools covered
ClaudeChatGPTGammaBeautiful.aiMiroWeekly outcomes
- Present a complete, end-to-end UX Case Study
- Communicate your design rationale with clarity and confidence
- Walk away with a portfolio piece ready to use professionally
Coverage
- The COPSYS framework for design storytelling
- How to present lo-fi work with senior-level confidence
- Structured peer critique and stakeholder Q&A simulation
Capstone outcome
An AI-Designed Product Concept Package: validated value proposition, clickable prototype, experiment plan and pitch deck.
AIUX-201
Idea to Interface.
AI-Powered Product Design for PMs and Founders.
Validate, prototype and pitch your product concept in four weeks. No designer required.
$399
Best for
I am new to design.
You sit in design reviews and cannot contribute the way you want to. You have strong opinions about products but no formal training to back them up. You want to switch into a design-adjacent role and need a portfolio piece to get there.
You walk out with
An AI-Designed Product Concept Package: validated value proposition, clickable prototype, experiment plan and pitch deck.
Four-week arc
- Problem validation, VPC and Assumption Risk Matrix
- AI-powered UX from flow to wireframe to prototype
- Experimentation planning and pitch preparation
- Demo Day with faculty and industry panel
Tools
Next cohort
Rolling cohorts
Live · 3 hours/week · 4 weeks
Prerequisites
No prior UX or design experience required. Comfort with everyday software and a willingness to do creative, exploratory work is enough.
AIUX-301 · The AI-Native Designer
Week 1
Rebuild research with AI-accelerated discovery
Week 2
FATE framework, trust calibration, graceful failure
Week 3
I-augmented design systems and professional practice
Week 4
Portfolio Showcase with Head of Design panel
Weekly outcomes
- Audit your current research workflow and identify where AI creates the most leverage
- Synthesise 12 real user interview transcripts using AI — then critique what it missed
- Build an AI-Hybrid Research Plan for your capstone project
Coverage
- AI across the full research workflow — what it accelerates vs. what it distorts
- Prompt engineering for qualitative research synthesis
- AI-generated personas as scaffold vs. finished deliverable
- Ethical considerations: data privacy, consent, AI research bias
- Practitioner Spotlight: What a senior UX researcher won't let AI touch
Tools covered
Claude ProChatGPTDovetail
NotablyMiroWeekly outcomes
- Design the most complex UX challenge in your capstone AI product
- Conduct a full Ethical AI Design Audit on your own work
- Present to peers using five AI UX quality standards
Coverage
- AI interaction paradigms — conversational, proactive, adaptive, autonomous
- Designing for trust calibration: the spectrum from automation bias to AI avoidance
- Explainable AI in interface design — four levels of explanation
- Graceful failure design: silent failure vs. graceful failure vs. noisy failure
- The FATE ethical framework: Fairness, Accountability, Transparency, Ethics
- Practitioner Spotlight: A real ethical dilemma in AI product design
Tools covered
FigmaFigma AIMagicianWeekly outcomes
- Generate 5 new design system components from natural language prompts and QA them to professional standard
- Build your personal AI Prompt Library (organised by design phase)
- Write your AI Design Methodology Statement — first draft
Coverage
- AI-augmented design systems: generation, governance, and quality gates
- Prompt engineering for professional design work — specificity, iteration chaining, style injection
- Accessibility in AI-assisted design — why AI frequently fails WCAG
- Communicating AI design decisions to engineers, PMs, and leadership
- Your career as an AI UX specialist: role typologies and portfolio strategy
- Practitioner Spotlight: What a Head of Design looks for when hiring AI UX designers
Tools covered
FigmaSupernovaZeroheightStark
AxeGammaWeekly outcomes
- Present a senior-level AI UX portfolio case study to a panel of faculty and design practitioners
- Field a simulated senior design interview Q&A
- Walk away with a complete, portfolio-grade artefact ready for job applications
Coverage
- Research Workflow Audit + AI-Hybrid Research Plan + AI-Assisted Persona Set
- AI Experience Design Screens (5+ annotated Figma screens)
- Ethical AI Design Audit Report
- AI Design System Contribution + Prompt Library
- Personal AI Design Methodology Statement — final version
Capstone outcome
A senior-level AI UX portfolio case study, an ethical AI design audit, your personal AI prompt library and an AI design methodology statement you can defend in any interview.
AIUX-201
The AI-Native Designer.
Advanced AI UX Practice for Working Designers.
Stay senior in an AI-first industry. The four-week master-class for practising designers.
$399
Best for
I am new to design.
You sit in design reviews and cannot contribute the way you want to. You have strong opinions about products but no formal training to back them up. You want to switch into a design-adjacent role and need a portfolio piece to get there.
You walk out with
A senior-level AI UX portfolio case study, an ethical AI design audit, your personal AI prompt library and an AI design methodology statement you can defend in any interview.
Four-week arc
- Rebuild research with AI-accelerated discovery
- FATE framework, trust calibration, graceful failure
- AI-augmented design systems and professional practice
- Portfolio Showcase with Head of Design panel
Tools
Next cohort
Rolling cohorts
Live · 3 hours/week · 4 weeks
Prerequisites
Minimum 1 to 2 years of professional design experience in UX, product, visual or interaction design. Figma proficiency required. Bring at least one existing portfolio case study or active design project.
Global Practitioner Faculty & Mentors
Learn from the People who DO.
Program and Course Certificates
Projects Based Learning
Learn through real-life projects and cross industry assignments
- Industry skill mentors assigned to each teams
- Final evaluation of projects done by external industry jury.
- Focus on Building a portfolio of demonstrable skills to crack into senior roles.
Our Alumni Speak
Video Testimonials
Because learning has to be ROI driven especially for professionals for whom time is more important than money!
Career Impact
At the Institute of Product Leadership, the focus is on empowering individuals and fostering career development. The Career Assistance Platform (CAP) serves as a comprehensive resource, offering support to professionals in shaping and building successful careers.
CAP helps our students identify their skill strengths and weaknesses based on their career goals and assists them in addressing blind spots to achieve them through personalised 1:1 career coaching, resume and personal brand building activities, mock interviews with hiring managers, and placement drives.
Every month, an average of 8 companies visit the campus to hire IPL students.
- Exclusive Job Opportunities
- 1:1 career coaching
- Network with Industry leader
- Career & Mock Interview Workshop
To view more details, download the career transition report
Companies who love and trust us for grooming & growing their Product talent.
Love & support from everyone on how we are doing in building the product ecosystem.
What Learners say about their AI Product Management Certification Journey
Parimal Joshi
Attended an excellent session on solution prototyping using possible and relevant AI and ML tools and models based on problem statements by taking user inputs and creating an RAG model. It was very educative and engaging.
Special thanks to Professor SaiSatish and Professor Ashish for their insightful and engaging classes. Their well-structured, high-quality materials made the learning process much smoother and more effective.
A big thank you to Prof. SaiSatish Vedam and Ashish Verma for leading such an engaging and insightful course. This journey has laid the foundation for applying Generative AI in Product Management.
It was a good learning experience from an Industry expert, and it helps to implement at work.
Our alumni work at
Learning is better with Cohorts
Join 4500+ IPL Global Alumni
Connect with peers, network and form long-lasting relationships.
Learn from and with each other
You’ll be learning through Interactive sessions, group projects, live presentations with your cohort of peers.
Career Opportunities
Get to the next career orbit with career workshops, 1:1 career coaching, interview prep, portfolio reviews and monthly hiring events.
Course Fee Covers
Course 1 & Course 2:
■ Weekly live faculty-led sessions with your cohort
■ I:l coaching and mentoring sessions
■ All templates, canvases, and Al prompt libraries
■ Hands-on tool labs with Figma, Miro, and leading Al tools
■ Capstone project feedback and critique
■ Portfolio case study artefact - ready to use professionally
■ Access to IPL Alumni Network
Course 3 (Advanced): Courses 1 & 2, plus:
■ Industry Practitioner Spotlight sessions each week
■ Ethical Al Design Audit framework
■ Advanced Al Prompt Library (80+ practitioner-level prompts)
■ Dedicated 45-minute 1:1 portfolio review with faculty before Showcase Day
■ Access to IPL Al UX Design Alumni Group
Features | The Specialist Phase | The Hybrid Practitioner | The AI-Native Architect |
|---|---|---|---|
Commitment | 4 Weeks | 8 Weeks | 12 Weeks |
Goal | Focus on 1 specific domain (Research, Build, or Strategy). | Bridge the gap between user intent and rapid execution. | Complete mastery of the end-to-end Al-first design lifecycle. |
Ideal for… | Professionals needing immediate tactical skills to stay current with Al tools. | PMs, Founders, and Builders who want to move from “Idea” to “MVP” fast. | Senior Designers and Leaders aiming for Al Native Design roles |
Portfolio | 1 Al-Native Case Study (Specialized) | 2 Al-Native Case Studies (End-to-End) | 3 Al-Native Case Studies (Full Stack Al Native Design) |
Credential | Completion Certificate | Advanced Duo Certificate | International AlUX Certificate |
Frequently Asked Questions (FAQs)
What is a UI UX design course?
Is this UI UX design course beginner friendly?
What makes this AI UI UX course different from traditional UX courses?
Traditional UI UX courses focus on manual workflows. This AI UI UX course teaches modern AI-powered product design workflows including:
- AI-assisted UX research
- AI-generated wireframes
- Rapid prototyping
- AI design systems
- UX prompting
- AI product strategy
You will learn how leading product teams use AI tools to design and ship products faster.
Which AI tools will I learn in this UI UX design course?
- ChatGPT
- Claude
- Figma AI
- Midjourney
- Cursor
- Miro AI
- Lovable
- v0
Can product managers take this UI UX design course?
Will I build a portfolio in this UI UX course?
Yes. Every student completes a portfolio-ready capstone project designed to showcase:
- UX thinking
- AI-assisted workflows
- Product strategy
- Prototyping
- UI design
- Case study storytelling
What jobs can I get after a UI UX design course?
- UI Designer
- UX Designer
- Product Designer
- AI Product Designer
- UX Researcher
- Product Manager
- Design Strategist
What's the difference between the three courses? Do I need to do all of them?
Each course is completely standalone and delivers a portfolio-ready capstone on its own. You pick the course that matches where you are today — a complete beginner starts with Course 1, a PM or founder jumps into Course 2, an experienced designer goes straight to Course 3. If you want to do all three, they build on each other in a natural progression.
I'm not a creative person. Will I struggle with Course 1?
Design is not about being artistic — it’s about thinking clearly about people and problems. Every skill in this course is learnable. The tools do the visual heavy lifting; your job is to think, research, and make decisions. You will not be the only person in the cohort who has never designed before.
I'm a PM. Should I do Course 1 first or go straight to Course 2?
Go straight to Course 2. It’s built for you — it assumes business and product context, moves fast, and focuses entirely on the AI toolchain PMs need. Course 1 is for people with no product background at all.
I'm already a designer. Is Course 3 too advanced for me?
master-class level for practising designers. It assumes you know Figma, understand research methods, and have professional experience. If you’re a junior designer in your first year, you may find Course 1 or 2 more immediately applicable.
How much time do I need per week?
Each course is 3 hours of live sessions per week for 4 weeks. You’ll also spend time between sessions completing your capstone artefact — budget an additional 2-3 hours per week for that. The structure is deliberately tight because you have a job.
Will the live sessions be recorded?
Yes. All sessions are recorded and available within 24 hours on the LMS. That said, the peer critique and practitioner spotlight elements are significantly more valuable live — attendance is strongly encouraged.
What tools do I need? Will I have to pay for software?
Most tools used have free tiers — Figma, Miro, Claude (free), ChatGPT (free). For Course 3, Claude Pro or ChatGPT Plus is recommended given the volume and complexity of prompting. Full tool requirements are listed per course and provided before you begin.
What is the capstone, and is it actually portfolio-ready?
Yes — that’s the standard we hold it to. Your capstone is evaluated at the level of a professional portfolio piece, not a student project. It’s designed to go directly into your portfolio and to be presented in a job interview or design review the week after you finish.
Can I get employer reimbursement for this course?
Yes. We provide a template you can use to request reimbursement from your manager, outlining the professional value and skills you’ll bring back to your team.
What happens after the course ends?
You join the IPL Alumni Network and, for Course 3 graduates, the IPL AI UX Design Alumni Group — an actively maintained community of AI UX practitioners. Career coaching is available via ipl.coach/career.