Start here · Beginner-friendly
Build your first product with AI. From idea to live URL.
Stop collecting AI tools. Learn how to use them together to turn one idea into something people can actually open, click and test.
What it is
What is the AI Product Builder Programme?
ProdXVerse AI Product Builder is a beginner-friendly live program that teaches you how to take a digital product from idea to launch using AI-assisted design and development tools. You learn product thinking, UX flows, building, databases, testing, deployment and the judgment needed to review AI-generated work.
You are not here to memorise prompts. You are here to build.
Why this exists
You have more ways to build than ever. That can make starting harder.
A few years ago the question was “How do I learn to code?” Now the questions beginners ask across builder communities are different:
“Should I use Lovable, Bolt, Cursor, Replit or Claude?”
“Can I build an app without knowing code?”
“How do I connect a database?”
“What if AI gives me broken code?”
“How do I take this from prototype to live?”
“Is vibe coding safe enough for a real product?”
The hard part is no longer generating a first screen. It is knowing what to build, how the pieces connect, what to check and when it is ready to launch. That is what this program teaches.
Your outcome
Leave with a product, not a folder of notes.
By the end of the program, the target is for you to have:
The problem, target user, core use case and scope in one simple document.
So you understand the experience before asking AI to generate screens.
A repeatable way to plan, prompt, review, debug and improve AI-generated output.
What authentication, databases, APIs and integrations are doing in your product.
Testing, responsive checks, basic security awareness, analytics and deployment.
A portfolio-ready build story for LinkedIn, college, interviews, freelance work or your next idea.
The loop
Is this a vibe coding course?
Yes, AI-assisted building or “vibe coding” is part of the workflow, but ProdXVerse does not teach blind prompting. You learn to describe what you want, review what AI creates, test the result, identify problems and make better product decisions before real users see it.
Understand the problem
Because a perfectly generated product that solves the wrong problem is still the wrong product.
Describe
Give the AI builder enough context, in small steps.
Build, review and test
Check what was generated instead of trusting it.
Fix and repeat
Read the errors instead of regenerating the whole app.
4-week build sprint
Four weeks. One product. One clear path from idea to launch.
Each week answers one question and ends with something you can show.
Week 1
Think before you build
What should you build, for whom, and what is the smallest useful version?
You learn
- how to choose a small, useful product problem
- how to avoid feature overload
- user and problem definition
- competitor research with AI
- basic product-market assumptions
- defining the core use case
- writing a simple PRD / product brief
- feature prioritisation
- mapping the happy path and obvious edge cases
AI-assisted workflows
- research summarisation
- idea pressure-testing
- competitor comparison
- product brief drafting
- user-story generation
OutputA build-ready product brief, MVP scope and user flow
Week 2
Design the experience
What should the user see, understand and do?
You learn
- information architecture basics
- user flows and low-fidelity wireframes
- interface hierarchy
- onboarding, forms, empty states and errors
- responsive thinking
- basic UX writing
- why generated UI often looks acceptable but behaves poorly
AI-assisted workflows
Depending on the cohort and current tool quality: ChatGPT or Claude for product and UX thinking, Figma and AI-assisted design tools, and Lovable, Bolt, v0 or similar builders. Tools can change. The product principles should not.
OutputA clear interface direction and a build-ready flow
Week 3
Build the product
How do the screens become a working product?
You learn
- prompting an AI builder with enough context
- building in small steps instead of one giant prompt
- frontend vs backend in plain language
- what databases and authentication do
- CRUD basics: create, read, update, delete
- APIs and integrations in plain language
- version control, backups and checkpoints
- debugging with AI and reading errors
AI-assisted workflows
Lovable, Bolt, Replit or equivalent builders; Cursor, Claude Code or equivalent for deeper edits; Supabase or similar backends; GitHub.
OutputA working first version with real product logic
Week 4
Test, fix and go live
Does the product work outside your own laptop and your own assumptions?
You learn
- functional and responsive testing
- testing empty and error states
- basic accessibility and security checks
- reviewing AI-generated code and configuration
- handling API keys and secrets safely
- analytics basics
- deployment, domains and live URLs
- collecting first-user feedback and presenting your build
OutputA live product, a launch checklist and a short product walkthrough
Tools will change
Learn the workflow, not one logo.
A tool that is popular today may be replaced next year, so each tool is taught by the job it performs. The list is reviewed before each cohort.
| Job | Example tools that may be used |
|---|---|
| Research & thinking | ChatGPT, Claude, Perplexity |
| UX / UI | Figma and AI-assisted design tools |
| Rapid app building | Lovable, Bolt, Replit, v0 or equivalent |
| AI coding assistance | Cursor, Claude Code or equivalent |
| Database / Auth | Supabase or similar |
| Version control | GitHub |
| Deployment | Vercel, Netlify or platform-native deployment |
| Analytics | Simple web and product analytics tools |
Honest scope
This is not four years of engineering compressed into four weeks.
What it will not do
- make you a senior software engineer
- teach every programming language
- guarantee your first build can safely support thousands of paying users
- make product design irrelevant
- make security something you can ignore
What it will give you
- a useful first product
- an understanding of the main parts
- a better way to work with AI
- a sense of what to check
- clarity on what you do not know yet
- a basis for choosing design or development next
AI is powerful. False confidence is expensive.
What can I build?
Start small enough to finish.
Good first products solve one clear problem. We will push you away from building “the next Amazon” first.
Student project tracker
Assignments, deadlines and progress in one dashboard.
Interview-prep workspace
Jobs, questions, answers and practice notes.
Small-business enquiry manager
Leads, statuses, follow-ups and notes.
AI research assistant
Turn a topic into structured notes and a usable brief.
Portfolio feedback tracker
Collect reviewer feedback and manage revisions.
College event registrations
Registrations, attendance and event updates.
Finance or habit tracker
A focused tool around one repeated behaviour.
Micro-SaaS experiment
One narrow workflow for a small audience.
Who it is for
The AI Product Builder Programme is for you if...
You are a student
You want to build something more practical than another academic mini-project.
You are a non-technical beginner
You have ideas but have never known how to turn them into software.
You are a designer
You want to go beyond prototypes to what happens when a product becomes functional.
You are a developer
You want a faster AI-assisted workflow and stronger product thinking.
You are a founder
You want to prototype and validate before hiring a full team.
You are a career switcher
A low-risk way to find out whether product, design or development fits you.
Probably not for you if...
- you want a guaranteed startup income in four weeks
- you expect AI to make every technical decision for you
- you only want a certificate
- you want an advanced computer-science curriculum
- you need enterprise-grade architecture training
- you are unwilling to test and revise your own work
- you want someone else to build the product for you
The front door
Not sure whether to learn design or development? Build first.
Choosing a career from videos is abstract. Building makes the gaps visible, and you quickly discover what interests you.
If you enjoy solving the user experience
Go deeper into UI/UX & Product Design.
See UI/UX & Product DesignIf you enjoy logic, systems and how things work
Go deeper into Full-Stack Development, coming next.
If you simply want to build your own products
You leave with a clear end-to-end process and know what to learn next.
| If your goal is... | Start with... |
|---|---|
| I want to build my first product and understand the full journey | AI Product Builder |
| I want a UI/UX or Product Design career | UI/UX & Product Design |
| I want deep frontend/backend engineering skills | Full-Stack Development (when launched) |
| I want structured supervised project experience | Applied Internship Training |
Not a passive course
You build between sessions.
The live session is only part of the learning. Recommended commitment:
6-10focused hours per week, depending on your project
Learn
Understand one part of the product process.
Build
Apply it directly to your own project.
Review
Bring problems, screenshots, errors and decisions to the next review.
Fix
Make the product better.
Ship
Move toward a working live version every week.
Founder-led
Learn product building from someone who works on digital products.
Ishtiaq Shaheer
Founder, Desisle & Lead Product Design Mentor, ProdXVerse
10+Years designing digital products
60+SaaS products shipped
US · UK · UAEClient markets via Desisle
Ishtiaq comes from product design and runs Desisle, a design and development studio. That matters here, because AI Product Builder is not only about code. A good build still needs a useful problem, clear scope, sensible flows, readable interfaces and real collaboration between design and development.
Guest practitioner sessions
Where relevant and confirmed, selected cohorts may include sessions with working designers, developers, founders or product practitioners.
What can I do with this?
One product can give you several kinds of proof.
- A college project more complete than a presentation-only submission
- A portfolio project that shows problem to live build
- A founder prototype to collect early feedback
- A freelance proof piece for clients
- A career exploration project to decide what to go deeper into
We do not promise that one AI-built project guarantees employment. We help you make the project worth discussing.
Will I get a certificate?
Learners who meet the completion requirements receive a Certificate of Completion. It does not claim external accreditation. The stronger credential is still the product you can open and demonstrate.
ProdXVerse
Certificate of Completion: AI Product Builder Programme
- Program
- AI Product Builder Programme
- Cohort dates
- Listed on issue
- Status
- Completed
- Project
- Where applicable
Next cohort
Join the next AI Product Builder cohort.
Program fee
Fee shared on enquiry
Recommended format: 4 weeks · Live sessions · Guided build
Included
- Live sessions
- Guided project roadmap
- Templates and build checklists
- Cohort support
- Project review
- Launch checklist
- Completion certificate if requirements are met
Clear answers
AI Product Builder FAQs
Do I need coding experience to join?
No. The program is designed so beginners can start without prior programming experience. You will still learn basic technical concepts because understanding databases, authentication, deployment and errors makes you a safer and more capable AI-assisted builder.
Can I really build an app with AI without coding?
You can build useful prototypes and many working products with AI-assisted tools without writing most code manually. The more complex, secure or scalable the product becomes, the more technical understanding matters. The program teaches both what AI can handle and when deeper development help is needed.
What is vibe coding?
Vibe coding is a popular term for building software by describing the outcome to AI systems that generate or modify code. In this program, we treat it as AI-assisted building: you define the product, give structured instructions, review the output, test it and improve it rather than blindly accepting generated code.
Which AI tools will I learn?
The exact stack can change by cohort because AI tools change quickly. The program may use tools such as ChatGPT, Claude, Figma, Lovable, Bolt, Cursor, Claude Code, Supabase, GitHub and deployment platforms. The curriculum focuses on the job each tool performs rather than locking you into one vendor.
Will I build my own idea?
Where the idea is small enough for the cohort timeline, yes. If your idea is too large, you will be asked to reduce it to a focused MVP or choose a provided brief so you can actually finish.
Can I build a mobile app?
The recommended first-cohort projects are web products because they are easier to build, test and deploy in a short program. Mobile-app workflows may be introduced, but app-store production, device permissions and native development add complexity beyond a beginner sprint.
Will my product be production-ready?
You will aim for a working live first version. “Production-ready” depends on the product, user volume, data sensitivity, integrations and security requirements. We do not label every cohort project production-ready by default.
Will you teach databases and authentication?
Yes, at a practical beginner level. You will understand why products need them, how they connect to the frontend and what common mistakes to watch for. The program is not a deep database-engineering course.
Will I learn how to deploy my product?
Yes. Deployment and a live URL are core outcomes of the program, subject to the selected project and third-party platform availability.
What happens if AI generates broken code?
That is part of the learning. You will learn a structured debugging process: isolate the problem, read the error, explain context to the AI, use checkpoints/version control and test after each change instead of repeatedly regenerating the entire application.
Is this useful for developers too?
Yes. Developers can use the program to strengthen product scoping, UX thinking and AI-assisted speed. If you already have strong engineering experience, some technical foundations may feel basic, but the end-to-end builder workflow can still be useful.
Is this useful for designers?
Yes. Designers can learn how their flows become functional products, understand technical constraints and build stronger prototypes or MVPs without depending on a developer for every experiment.
Is this the same as the UI/UX & Product Design program?
No. AI Product Builder is broad and outcome-led: build and launch one product. The UI/UX & Product Design program goes much deeper into research, interaction design, visual craft, design systems, SaaS UX, portfolio case studies and design-career preparation.
Will this help me get a job?
It can give you a stronger project to discuss and help you build practical AI-first product skills. ProdXVerse does not guarantee employment. Hiring depends on the role, your broader skills, portfolio, communication and employer requirements.
Do I get a certificate?
Yes, if certification is included in your cohort and you complete the required project and participation criteria. The certificate confirms program completion; it is not an employment experience letter.
How much time should I keep aside each week?
Plan for roughly 6-10 focused hours per week for live learning, building, testing and iteration. A smaller product is much easier to finish well than a large product attempted with too little time.
Your first build
The fastest way to understand product building is to build one.
You do not need the perfect idea or every tool. You need a small problem, a clear process and enough guidance to finish.