a product design leader and AI educator

4 people enrolled last week.
Designers who code used to be called “unicorns”. Now it is quietly becoming the baseline. The good news is that AI and modern tooling make this much more accessible than it used to be.
Built specifically for designers, this intensive course blends practical frameworks, hands on exercises and personal feedback. Technical concepts are introduced from a designer’s point of view, with designers’ goals in mind.
We focus on the parts of product work that actually ship: clean layouts, design systems, reusable components, real navigation and non trivial flows. Vibe-coding and AI tools help you work directly in code with function and data instead of stopping at static mockups.
After completing this course, you will be able to turn your designs into working web apps that match your visual language with precision.
What you’ll buildA functional web app, styled to match a brand and using design-system components.
Features, components and interactions using third-party libraries.
User flows with non-trivial logic and dynamic data.
At least two AI-powered features (LLM, voice, or diffusion) wired via API keys, prompts, and guardrails.
Collaborate and handover via GitHub.
❤️ Lovable Pro is included!
You’ll prototype the experiences you already design, and expand into new dimensions: real functionality and data, AI models
How vibe-coding changes your workflow as a designer
AI coding landscape: Lovable, v0, Figma Make, Bolt, Replit, Cursor, Claude Code
Prompting strategies for exploration, design and functional builds with databases integration and AI functionality
Figma MCP setup
Export and reimport to Figma
Building with design systems and reusable components
React mental models, Tailwind, shadcn/ui
GitHub collaboration and handover habits
Personalised experiences: theme, language, location, device, responsiveness, local storage, accessibility
AI model landscape and what different models unlock
New interaction modalities: voice, vision, conversation
Prototyping with AI APIs (Gemini, OpenAI, Stable Diffusion, ElevenLabs)
Databases and dynamic data
Backend, frontend, data and API basics
Supabase vs Lovable Cloud, app safety

Anna Arteeva is a product design leader and a product builder
Mid-Senior Product, UX and Interaction Designers, looking to future-proof their workflow, increase the scope of deliverables and impact
Design leaders, looking to make their teams more effective and impactful
Product Managers, who want to become product builders, ideate, validate and deliver their ideas faster
User flows, design systems, variables and design tokens
Familiarity and curiosity helps
Clear problem, user, and outcome definitions

Live sessions
Learn directly from Anna Arteeva 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 through the second week of the course.
11 live sessions • 35 lessons
Jan
5
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15
Live sessions
5 hrs / week
2 sessions a week, 2.5h each
Mon, Jan 5
3:00 PM—5:30 PM (UTC)
Wed, Jan 7
4:00 PM—5:00 PM (UTC)
Thu, Jan 8
3:00 PM—5:30 PM (UTC)
Projects
2 hrs / week
Async content
1 hr / week
Short focused tutorials on specific topics
After 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
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.
It 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.
This course is close to a must-have if you want to stay current and in demand as a designer. The detailed tips and tricks Anna shares clearly come from longer practice and are things that are hard to catch up on quickly as a self-learner.

Judith S.
Perfect balance of intensive content with helpful tutorials we can revisit later and practice after the course. We learned how to build both frontend and backend, connect to databases, and work with real data - not just static prototypes but ones that actually store and use the information users enter. Even explained coding terminology in a way that made sense to us non-developers.

Florencia W.
Still blown away by the workshop. So much packed in (can't wait for the recording to rewatch, especially the second part covering design systems and database integration), almost everything made sense, and most importantly it no longer feels like some mystical thing only available to coding prodigies.

Ekaterina C.
$950
USD