AI Prototyping for Product People
Anna Arteeva
Product Design Leader
Julia Bastian
Product Leader
Learn the new PM stack: vibe-coding, automation, AI features, and code handover
In an AI-accelerated product world functional prototyping is non-negotiable. PMs are expected to explore, ideate and validate ideas quickly, collaborate effectively with designer and developers whose roles are changing too.
You'll learn from three experts with different backgrounds: Product, Design, and Engineering. This ensures you get deep insights into design and engineering topics while learning to navigate the change and bring your cross-functional partners along.
What is covered:AI for modern discovery and synthesis
functional prototypes with Lovable
Frontend foundations: with real components, brand-consistent styling, complex user flows
Essentials of app architecture: Backend, Frontend, Data, APIs
Automation (Make, n8n, APIs, webhooks).
AI-powered functionality with integrated LLM, image and voice models
System prompts engineering.
Analytics, a/b testing and idea validation so you can back up your prototypes with evidence.
Then will talk about real hard topics
cross-functional team collaboration
code hand over
work inside an existing codebase.
❤️ Lovable Pro is included!
What you’ll learn
Discover opportunities with AI → validate with interactive prototypes → design AI features → automate workflows → ship functional software
Use AI to accelerate research, synthesis, and insight generation
Turn messy inputs into clear problem statements and hypotheses
Choose the right validation approach for the stage you’re in
Understand how product teams use vibe coding and where it fits
Pick the right tools for the job. Navigate through the tools: Lovable, Cursor, Claude Code, Replit, v0, Figma Make, Bolt, Codex, Antigravity
Build interactive prototypes either from a rough idea or detailed design mock or PRD
Learn essential concepts: pages, components, routes, hooks, variables
Work with existing resources: Design Systems, production code base, open source libraries
Rebuild or clone existing products and design for new ideas explorations
Stay on brand: style your apps consistently, understand why Tailwind + shadcn/ui does not mean AI-look
Create re-usable assets, components and styles
Understand backend vs frontend vs data vs APIs
Add auth, connect Supabase or Lovable Cloud, or yor own backend, and debug effectively
Automations: use Make/n8n, APIs, and webhooks to connect prototypes to real workflows
Build AI-powered features (LLM, Voice or Image modes) with solid prompt design
Add analytics and lightweight experiments (funnels, A/B tests) for confident solution validation
Collaborate and hand over code via GitHub. Learn to navigate and contribute to existing codebases
Who this course is for
Product Managers, Owners, Researchers, Growth who want to become full-stack builders, validate ideas with confidence and iterate faster.
Non-developers across the organisation – sales, marketing, ops, GTM, finance, or HR – who want to build their own tools and experiments
Leaders in tech companies who want to make their teams more effective through AI coding, shape AI strategy, and sharpen workflows.
Prerequisites
Basic product thinking
You can clearly define problems, users, and desired outcomes
No previous coding experience required
Familiarity with digital products and curiosity about how they work will help you get more out of the course.
Understanding the tech company ecosystem
You should be comfortable with how digital products are planned, built, and shipped, and have working knowledge of the modern tech landscape
What's included
Live sessions
Learn directly from your instructors in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
14 live sessions • 41 lessons • 4 projects
Week 1
Get started with vibe-coding. Planning, prompting and best practises
Apr
21
⚡ Live session 1 with Julia Bastian. Understand how AI reshapes discovery and learn the fundamentals of vibe coding.
Plan your project and scaffold a robust architecture
Apr
22
⚡ Live session 2 with Anna Arteeva. Frontend foundations. Building strategies for different project types.
Apr
23
⚡ Round table discussion with experts (theme to be announced)
Week 2
Apr
28
⚡ Live session 3 with Anna Arteeva. Stay on brand and reuse existing resources: styling, Tailwind, ShadCN, Design Systems and npm libraries.
Make AI prototypes look like your brand with styling and design systems
Apr
30
⚡ Live session 4 with Anna Arteeva. App architecture essentials: Backend, Frontend, Data, APIs, real logic.
Build conditional user flows, app logic and connect to a database
Apr
30
⚡ Round table discussion with experts (theme to be announced)
Schedule
Live sessions
5 hrs / week
2x 2.5 hours live session sessions
Tue, Apr 21
2:00 PM—4:30 PM (UTC)
Wed, Apr 22
2:00 PM—4:30 PM (UTC)
Thu, Apr 23
2:00 PM—3:00 PM (UTC)
Projects
1 hr / week
Async content
1 hr / week
Testimonials
At Flatpay, we already use AI daily to boost research, strategy, writing, and design. Anna Arteeva's AI & UX workshop at our Copenhagen HQ helped us take things further. PMs, designers, and engineers sharpened our AI skills and explored new ground: getting more impact from the tools we already rely on; expanding into AI prototyping, building on our existing designs and design system to deliver higher-fidelity results faster; exploring new UX paradigms like non-deterministic and agentic experiences; and building a shared mindset on how AI will shape the way we create for our merchants. We're raising the bar on how we collaborate with each other—and with AI—to deliver even more impact. Highly recommended.
Derek F.
Director, Product Strategy & UX @ FlatpayI learnt way more than I expected to and it's really sparked my brain with all the different use cases that are naturally sitting within my HR ops foundations.
Amanda James
HR Director, Onboarding Operations at RemoteThis class has been a game changer for me. It's brought me up to speed on things I didn't even know how to dive into, and has been a huge influence on my process. For the first time in several years, I'm excited about something new in the design process, and so many doors to experimentation, creativity and collaboration have been opened.
Andrea Foster
Sr Director, UX · FTI ConsultingAfter Anna Arteeva's AI prototyping training, using Lovable for quick prototyping became a no brainer. Looking at Figma screens versus clicking through a live prototype now feels like looking at 2D blueprints of a 3D object versus holding the real model in your hands. The speed of trying changes and the depth of what you can prototype, frontend and backend together, is on a completely different level.
Danila Turuntaev
Group Product Manager at RemoteIt will save you a crazy amount time. I was giving little and shy steps into this huge AI ocean and with this course, I could easily understand how to design, refine and generate interactive prototypes (including database integrations) - it's not a scary monster after all
Gualter A.
Product Designer at OLXI’m getting so much out of this course!!! I can’t even tell you! I’m making so much! I’m somewhat of a course junky, and I’ve never had a course so instantly providing value and clarity. Over night I’ve become the vibe code expert at my company (and we’re only partway through the course!
Briana (May) Mazzio
Senior Interaction Designer at Frog
Frequently asked questions
$950
USD