AI TRAINING
v0.dev for Frontend Prototypes and Production Scaffolding
Build and export production-ready React components using Vercel's v0 AI interface generator.
What it covers
Participants learn to use Vercel's v0 tool to generate, iterate, and export React and Tailwind CSS components grounded in the shadcn/ui design system. The training covers prompt engineering for UI generation, component customisation within the v0 editor, and clean export workflows into existing Next.js or Vite codebases. Sessions combine live demonstration with hands-on exercises so attendees leave with reusable component scaffolds and a repeatable prototyping workflow. Both designers (low-code path) and frontend engineers (code export path) are served with role-specific exercises.
What you'll be able to do
- Write effective v0 prompts that generate accurate, on-brand UI layouts in under five iterations
- Customise shadcn/ui components within the v0 editor to match a provided design spec
- Export v0-generated components into a Next.js or Vite codebase without manual reformatting
- Conduct a basic accessibility and code-quality review of AI-generated JSX output
- Establish a repeatable team workflow for AI-assisted prototyping from brief to handoff
Topics covered
- Introduction to v0.dev and its place in the Vercel / Next.js ecosystem
- Prompt engineering for UI: describing layouts, states, and interactions
- Working with shadcn/ui components and Tailwind CSS in v0
- Iterating and refining generated components in the v0 editor
- Exporting code to Next.js and Vite projects cleanly
- Version control and team collaboration with v0 projects
- Accessibility and code quality review of AI-generated components
- Integrating exported components into a design system or component library
Delivery
Delivered as a single full-day in-person or remote workshop. Participants need a laptop with a browser and a free v0.dev account. The hands-on ratio is approximately 60% practice, 40% facilitated demo. A shared Figma or design brief is provided as the starting brief for exercises. Remote delivery uses Zoom or Teams with breakout rooms; in-person delivery works best in a studio or training lab. Materials include a prompt cheatsheet, an export checklist, and a starter Next.js repository.
What makes it work
- Defining a shared prompt template library that enforces brand tokens and naming conventions from day one
- Pairing designers and engineers during exercises so export expectations are aligned in the room
- Integrating v0 export into an existing pull-request review process rather than treating it as a special flow
- Running a brief post-workshop retro two weeks later to capture what worked and what needed manual rework
Common mistakes
- Accepting the first generated output without iterating prompts — leading to generic, off-brand components
- Skipping the accessibility review step and shipping AI-generated components with missing ARIA attributes
- Treating v0 as a Figma replacement rather than a code scaffolding tool, creating workflow confusion
- Not aligning with the existing design system before generating, causing expensive refactoring later
When NOT to take this
This workshop is not the right fit for teams that have not yet adopted React or Tailwind CSS — the exported code will be unfamiliar and the maintenance burden will outweigh the prototyping speed gain.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.