UX and UI designers
You bring users, flows and craft. You leave able to design how AI behaves: agents, handoffs, and what happens when it isn't sure.
Professional Certificate ProgrammeCohort 1 · 4 Jan – 2 Apr 2027
AI Product Design and Agentic AI
In short · What is this programme?
Studio Incubator's Professional Certificate Programme in AI Product Design and Agentic AI is a 12-week, 320-hour, in-person programme in Shivajinagar, Pune. You learn to use AI professionally, build AI products and agents, and lead AI work responsibly, and you finish with a working AI product or proof of concept defended before a panel. No coding is required.
| Duration | 12 weeks · 320 hours |
|---|---|
| Cohort 1 | 4 Jan – 2 Apr 2027 |
| Apply by | 20 Dec 2026 |
| Format | In person, at the studio in Shivajinagar, Pune. It isn't fully offline: 74 of the 320 hours are self-paced videos, quizzes and home practice. |
| Faculty | Juily, Jitendra (JB) and other working professionals |
| Seats | 12 per cohort, in pods of four |
| Fee | Full fee ₹1,50,000 · Cohort 1 launch fee from ₹1,20,000 how it works |
| Optional add-on | AI-first UI/UX crash course, ₹20,000 plus GST if applicable, for those without a UI/UX background details |
| Not included | Your own AI tool subscriptions, about ₹2,000–4,000 a month |
| Coding needed | No |
| You leave with | A working AI product or proof of concept, 16 assessed portfolio pieces, a professional certificate and a verified Studio Project Record |
For you, your family or an employer. [guide PDF to attach]
Why this programme
Familiar with AI is not the same as capable.
AI is in nearly every product brief now. The people trusted with that work aren't the ones who use the most tools. They can tell when the AI is wrong, design what it should do when it isn't sure, keep data where it belongs, and explain the result to whoever signs it off. Complex AI systems can't be learned from videos alone; confidence comes from building them with people watching how you work.
Familiar
- – Uses AI tools daily
- – Trusts the first answer
- – Collects certificates
- – Nods along to “agents” and “RAG”
Capable
- Checks what AI produces
- Designs the handoff when it's unsure
- Builds and evaluates real agents
- Explains risk and value to leadership
Who it's for
One studio. Many ways in.
Everyone takes the same programme and leaves with a role that fits where they started. Not for you if you want a quick certificate or a coding bootcamp, or can't be in Pune for the twelve weeks.
Not sure where you fit? Take the five-minute self-check.
Engineering graduates
You bring logic and a willingness to build. You leave with a working AI product or proof of concept, and a portfolio that proves it.
Developers and AI/ML
You bring code, models and data. You leave able to design AI that works with real people, and to evaluate it properly.
Product managers
You bring business sense and stakeholders. You leave able to decide what to build, cost it, govern it and explain it.
Between roles
Three to eight years in UX, design or tech, and suddenly between jobs? Twelve weeks turns that experience into AI product work you can show and defend.
Qualified freshers
BE, BTech, BDes, BCA, BSc or MBA and ready to start? Skip years of catching up: you leave with a real AI product and a portfolio most freshers don't have.
Ready for a change
Working but restless? Move sideways into AI product work without starting from zero. Plan the twelve weeks with us first.
Business analysts
You bring requirements and process sense. You leave able to diagnose where AI helps, and where it shouldn't be used.
Graphic and visual designers
You bring visual judgement. You move from making assets to designing AI-powered products.
QA and test engineers
Evaluation, red teaming and guardrails reward a tester's instinct. You leave able to test AI properly.
Founders and business owners
You leave able to scope, prototype and govern an AI product for your own business.
eLearning and instructional designers
You leave able to design AI tutors, agents and workflows that people can trust.
Career returners
Back after a break? The studio rhythm and pods help you rebuild confidence with current AI work.
Marketing and content professionals
You leave able to design automations and AI workflows, not just use chat tools.
What you'll learn
One programme, three structures.
Three levels set the order you learn in, five capabilities are what you get good at, and eight gates are the milestones of your one capstone. They all add up to one assessed portfolio and a live board defence.
3LevelsHow you progress
Use AI like a professional · 80hBuild AI products and agents · 130hLead and govern AI work · 110h
5CapabilitiesWhat you get good at
AI literacyAI useAI product designSystems thinkingTransformation
8GatesYour capstone milestones
One assessed portfolio + a live board defence
Five capabilities in detail
01
AI literacy
How AI systems work, why they fail and what they can't do.
02
AI use
Choosing and using AI tools well for real work, and checking what they produce.
03
AI product design
What an AI system asks, does on its own, explains, and how it recovers when it's wrong.
04
Systems thinking
The process, data, people and handoffs around the AI, not only the AI.
05
Transformation
Making AI change stick: the business case, the risks, the governance and the people.
LEVEL 180 hours
AI foundations and professional power user
Know how AI works and fails, use the leading models well, and check what they produce.
Ideas you'll work with- how models work and fail
- prompting with context
- research with evidence
- first automations
LEVEL 2130 hours
AI-native product, automation and agent builder
Design how AI behaves, build agents and automations on real data, and test them properly.
Ideas you'll work with- human–AI interaction design
- RAG on real data
- APIs and n8n automation
- agents, evals and guardrails
LEVEL 3110 hours
AI transformation, governance and leadership
Make the business case, manage risk and governance, and defend your product before a board.
Ideas you'll work with- red teaming and observability
- security and privacy
- enterprise diagnosis
- strategy and AI economics
The full module plan is in your free account
33 modules · 320 hours · your fee band · the assessment. Plus ₹2,000 credit once you're verified.
Taught against NIST AI RMF, ISO/IEC 42001, the EU AI Act and OWASP Top 10 for LLM applications. Tools include the leading AI models (such as ChatGPT, Claude, Gemini and Copilot), n8n and Make for automation, AI app and UI builders (such as v0 and Bolt), Figma, vector stores for retrieval, and evaluation and guardrail tools.
Your capstone
One real problem. Eight gates.
Alongside the levels, you build one AI product from problem to board defence. Most of your 16 portfolio pieces are views of this one system.
- Gate 01
Problem and evidence
- Gate 02
AI suitability and concept
- Gate 03
Process, UX and architecture
- Gate 04
Prototype or proof of concept
- Gate 05
Evaluation and user evidence
- Gate 06
Red team, security and responsible AI
- Gate 07
Governance and economics
- Gate 08
Final board defence, live
Route A · Builder
A working AI product, website, retrieval system, workflow or agent.
Route B · Transformation
A working proof of concept inside a full organisational plan: diagnosis, target design, governance and roadmap.
How the 12 weeks run
In a studio, not on a screen.
You can learn tools anywhere. Confidence with complex AI systems comes from building them, getting them wrong and fixing them, with faculty in the room.
A typical week [confirm the exact studio-day pattern before publishing]
StudioMorning studio session with faculty
StudioMorning studio session with faculty
StudioMorning studio session with faculty
PracticeLabs and catch-up with support
- – Studio sessions are taught in person by Juily, JB and other working professionals, in pods of four.
- – A practice day each week for labs and catch-up with support.
- – Self-paced videos, quizzes and home practice (74 of the 320 hours), so studio time is for doing.
- – Work you take home is planned, not piled on: exercises are grouped so the load stays even.
Pods of four
You work in small mixed teams, like a real AI product team: designers, builders and analysts together.
Gate reviews
Each level ends with a conversation about your work, not an exam.
Using AI
Using AI is allowed throughout the programme. Hiding it is not.
Self-study kit
Short videos, activities, templates and printable notebooks before most sessions.
Your time each week≈ 27 h on average (320 h ÷ 12 weeks)
| ≈ 11 h | Studio sessions with faculty (135 h in total) [confirm days and times] |
|---|---|
| ≈ 4 h | Practice day: labs and catch-up with support (45 h) |
| ≈ 6 h | Self-study kit: short videos, quizzes, activities (74 h) |
| ≈ 5–6 h | Capstone and project work, in studio and on your own (66 h) |
12 teaching weeks between 4 Jan and 2 Apr 2027; the extra calendar week allows for holidays and catch-up. [confirm the holiday week]
A studio session in 90 seconds
Plan, build, critique, close. [film to come]
What a board defence looks like
A learner demonstrates their agent live and answers the panel. [film to come]
What you leave with
Proof of what you can do, not just a badge.
We prepare you to be trusted with AI work, give you evidence an employer can check, and share openings from companies that come to us to hire.
A working AI product or proof of concept
Built, tested and defended live before a panel, on either capstone route.
16 assessed portfolio pieces
All documenting your one capstone, from problem to board defence.
Certificate and Studio Project Record
A professional certificate plus a verified record of what you built and your role in it.
Career support
Portfolio, profile and interview practice, and openings shared from companies that come to us to hire.
Studio Incubator alumni work at companies such as Persistent, Cybage and Oracle. [confirm]
Issued by
Studio Incubator, Pune
Awarded for
Passing the three gate reviews and the final board defence
Verified by
Your Studio Project Record ID, checked by us on request
Accreditation
A professional certificate, not a degree or government-accredited qualification
[confirm completion criteria, e.g. minimum attendance]
Proof of impact
Proof, not promises.
Studio Incubator is the learning studio of Qquench, which designs learning, UX and AI automation for organisations worldwide. Juily, JB and other working professionals teach in the studio.
Qquench
25+ yrs
Of design, learning and digital work for organisations worldwide.
Qquench · projects
432+
Enterprise learning, UX architecture and AI automation.
Qquench · certified
3× ISO
ISO 9001 · ISO 27001 · ISO 14001
Teaching in Pune
11 yrs
Training designers at the studio since 2015.
Public reviews
40+
From UI/UX and design alumni, quoted word for word.
Qquench · agentic AI
2022
The year Qquench delivered an agentic AI solution for a luxury hospitality client. [confirm wording]
Qquench · recognition
UN
Preferred vendor through WMU.
Meet Juily and JB
Who teaches, and how the studio works. [film to come]
Who teaches
Juily and Jitendra (JB) lead the studio, with other working professionals who build and ship AI products.
About the studioStudio Incubator's Professional Certificate Programme in AI Product Design and Agentic AI is a 12-week, 320-hour, in-person programme in Shivajinagar, Pune. You learn to use AI professionally, build AI products and agents, and lead AI work responsibly, and you finish with a working AI product or proof of concept defended before a panel. No coding is required.
Cohort 1 · 4 Jan – 2 Apr 2027 · 12 seats · apply by 20 Dec
Start with your free account, get ₹2,000.
- 01 · TodayCreate your free accountVerified within 1 working hour; ₹2,000 credit added. Want to see the studio first? Book a free Saturday session.
- 02 · By 20 DecTake the assessmentAbout 20–25 minutes, then a conversation with Juily or JB.
- 03 · 4 Jan 2027Start in the studioTwelve weeks, pods of four, faculty in the room.