UX/UI Design Bootcamp with AI in Barcelona Code School

9 weeks, full-time. On campus or remote live.

Learn the complete UX process - research, definition, prototyping, testing, iteration - and learn it the way design teams actually work in 2026: with AI in every step of the workflow.

Four real sprints. Seven theory modules. A dedicated AI module covering prompt and context engineering, Claude Code, MCP and quality control.

You finish with four case studies and a live portfolio website you built and shipped yourself.

The toolchain you will actually use

Figma and FigJam AI - the core of the craft
Claude - research synthesis, interview analysis, critique
Claude Code - real prototypes and production-ready front-ends
Claude Design - concept and hi-fi generation you can steer
Framer AI - shipping your portfolio site
Figma AI - automating repetitive design tasks
MCP integrations - connecting AI to your design data
Notion and Google Forms for research operations
GitHub and React.js for your prototypes and portfolio

Tools change. The reason we teach a stack, and the judgement to pick the right tool per phase, is so you can swap any one of them out and keep working.

Course format

9 weeks of intensive hands-on training
Full-time program, Monday to Friday, 10:00 to 17:00 CET
Small groups (max 6 students)
On campus in Barcelona or remote live
Every week is a self-contained sprint: Monday brief, Friday presentation
In English
Career support: CV, portfolio, and interview preparation
Industry-recognized certificate
Scholarships available

Why this course exists

The UX job market changed shape. "AI-assisted design workflows" moved from a nice-to-have line on a CV to something hiring managers ask about in the first interview.

Figma's State of the Designer 2026 reports that the large majority of designers now use generative AI in their daily work and say it improves the quality of their output. A designer who cannot work this way is competing at a permanent disadvantage - against candidates who ship three concepts in the time they ship one.

But the opposite failure is just as fatal. Portfolios full of generic AI output - no research, no testing, no point of view - get rejected instantly. Hiring managers can spot them in seconds.

This bootcamp is built for the space between those two failures: rigorous, evidence-based UX methodology, executed at AI speed, with the quality control to prove the thinking is yours.

What makes this different from a traditional UX bootcamp

AI in the process, not bolted on

There is no single "AI week". Every sprint uses AI at the step where a working designer would actually use it - and skips it where a human still does it better.

You do real research

Site visits, real interviews, usability sessions with actual strangers. AI helps you synthesize the data. It does not get to invent it.

Anti-slop quality rubrics

An explicit method for keeping generated work specific, branded and accessible - and for spotting when a model has produced something plausible but empty.

A full week on writing case studies

Most portfolios fail on the write-up, not the pixels. Week 5 exists only to turn your work into stories a hiring manager will read to the end.

You build and ship your own site

Not a template on a portfolio platform. You develop your portfolio website with Framer AI or Claude Code, and it goes live in week 9.

Friday presentations, every week

Nine weeks means nine presentations to an audience. By graduation, defending your design decisions out loud is a reflex, not a fear.

Get the syllabus now

What our graduates say

I had an amazing time at Barcelona Code School. Anyone who is looking for intensive and proactive course I would really recommend it, it helps you to be ready for the job market!

– Getter Mizer

My time at Barcelona Code School was life changing in the best way. Chris is so knowledgeable, kind and talented, and his constant encouragement really highlighted my strengths, and inspired me to face (and overcome) my fears as a newbie UX/UI designer. He never allowed me or my fellow students to indulge in self doubt, and I believe it's because of this that we were able to overcome any design challenges we encountered in the most fun and meaningful way.

It was truly a pleasure to have him as an instructor and I'll forever be grateful for his constant encouragement, and for believing in me from day one and even after completing the program. He also has an awesome sense of humour and excellent music taste! A big thank you to the BCS team ☺️☺️ I too highly recommend this course!

– L Mumba

I completed a 9-week UX/UI Design Bootcamp Course at Barcelona Code School, and it exceeded my expectations. The course transformed my design thinking and approach. The teaching methods were excellent, and I learned a lot.

A special thanks to my instructor, Chris Kelly—he’s patient, dedicated, and ensures every student understands and applies the material effectively.

I highly recommend this course and the amazing team at Barcelona Code School!

– Bayan A

Overview

Over nine weeks you run a structured UX process four times over - from user research and problem definition through prototyping, usability testing and iteration - on four different kinds of problem: a service, a startup product, a wicked systemic challenge, and a project of your own choosing.

Alongside the sprints, seven theory modules take you from the foundations of human-computer interaction through design psychology, methodology and business strategy, ending with a full module on AI integration, ethics and advanced workflows.

This course is perfect for:

Those transitioning into a UX/UI design career who want a skill set that matches how teams hire right now
Teams who want to learn advantages of UX Design process implementation with current AI tools to improve their products or services
Visual and graphic designers who want to move beyond aesthetics into research-backed, validated design decisions
Developers, product managers and marketers who want to own the user-centered part of product work
Entrepreneurs who want to validate ideas and design products people actually need - fast
Designers already working who feel their AI workflow is improvised and want a professional method behind it

Four sprints, one portfolio: week by week

Every week is a self-contained sprint with a Monday brief and a Friday presentation. Click a week to open it.

Week 1: Discovery - Service Design - Part One ↓

Week 2: Business Week - Lean Startup Project - Part One ↓

Week 3: Test the Design - Service Design - Part Two ↓

Week 4: App Design - Lean Startup Project - Part Two ↓

Week 5: Write-Up Week - Case Study ↓

Week 6: The Wicked Project - High-Stakes Sprint ↓

Week 7: Research and Definition - Personal Project - Part One ↓

Week 8: Build and Test - Personal Project - Part Two ↓

Week 9: Portfolio Week - Ship It ↓

Cornerstone modules

A structured learning path that runs alongside the sprints, taking you from foundational human-computer interaction principles to advanced AI workflows and business strategy.

Module 01: Beginnings and Disciplines

Understanding the origins, scope and core disciplines of user-centered design.

Design origins
Don Norman's affordances
What is User Experience Design
What is User Interface Design
What is Service Design

Module 02: Fundamentals of HCI and UX

Core theoretical principles, data handling and recognizing design failures.

Human-computer interaction
Key figures in the field
Working with data
What is bad UX

Module 03: Design Psychology and Human Behavior

Cognitive principles, heuristics, decision-making and ethical boundaries in design.

Mental models
Gestalt and the Laws of UX
Nielsen heuristics
Decision making
Emotional design
Bias
Dark patterns

Module 04: Frameworks and Methodologies

Structured approaches to innovation, problem-solving and iterative product delivery.

The scientific method
Design thinking
Lean Startup
MVP workflow
Wireframing workflow
Information architecture

Module 05: Technical UX and Research Skills

Hands-on qualitative and quantitative research techniques for generating user insight.

Empathy mapping
Non-directive interview technique
UX survey writing
Running a usability testing session

Module 06: Business Analysis and Product Strategy

Real-world business case studies, market disruption and strategic design impact.

The death of Kodak
A case of genius
Reading a business model as a designer

Module 07: AI Integration, Ethics and Advanced Workflows

Cutting-edge artificial intelligence, prompt and context engineering, accessibility and modern design workflows.

Advanced prompt engineering frameworks
Context engineering, token economics and dynamic window management
Working with inspiration and multimodal visual loops
Workflow with Claude Code, MCP integrations and deterministic hooks
Working with Skill.md, Claude.md and progressive context disclosure
Avoiding AI generic design slop: the rules and quality rubrics
Automated verification, LLM-as-a-judge and testing loops
Ethics, bias, guardrails and accessibility

Module 07 in detail: AI Integration, Ethics and Advanced Workflows

This is the part of the curriculum that does not exist in a traditional UX bootcamp - and the part that makes the difference in an interview.

AI: 01 Advanced prompt engineering frameworks

Move beyond basic prompting. Chain-of-thought, few-shot learning, role-based prompting and structured output formats - how to write prompts that produce consistent, high-quality design output instead of lucky one-offs.

AI: 02 Context engineering, token economics and dynamic window management

Understand the mechanics of model context windows. Optimize what you feed the model, manage conversation history, and build context systems that stay coherent across a long design project.

AI: 03 Working with inspiration and multimodal visual loops

Use AI for visual exploration properly: feedback loops between text prompts and visual output, with the model as a collaborator in ideation and moodboarding rather than a slot machine.

AI: 04 Workflow with Claude Code, MCP integrations and deterministic hooks

Integrate AI coding assistants into the design-to-development pipeline. Use Model Context Protocol integrations and deterministic hooks so your outputs are reproducible, not improvised.

AI: 05 Working with Skill.md, Claude.md and progressive context disclosure

Structure project knowledge so an AI can actually use it. Progressive context disclosure, project instruction files, and team knowledge management that survives beyond one chat session.

AI: 06 Avoiding AI generic design slop: the rules and quality rubrics

The single biggest reason AI-assisted portfolios get rejected. Build explicit rules and quality rubrics that keep generated work specific, branded, accessible and yours.

AI: 07 Automated verification, LLM-as-a-judge and testing loops

Build verification pipelines that use models as evaluators - catching errors, validating design consistency and maintaining quality at scale instead of eyeballing every screen.

AI: 08 Ethics, bias, guardrails and accessibility

The ethical dimensions of AI in design: algorithmic bias, fairness in generated output, why human oversight is non-negotiable, and how to keep AI-enhanced products accessible to everyone.

The outcomes

Be ready to apply for UX/UI and product design roles - and to answer the AI-workflow question properly.
Design user-centered digital products using a full UX process - research, definition, prototyping, testing, iteration.
Run real user research: non-directive interviews, surveys, usability testing sessions - and defend the findings.
Use AI across the entire design workflow: prompt and context engineering, multimodal visual loops, AI-assisted synthesis and prototyping.
Build working prototypes with Claude Code and Claude Design, and ship a real website with Framer AI.
Apply quality rubrics and automated verification so your AI-assisted work is specific, accessible and defensible.
Make design decisions in business language - Lean UX Canvas, Business Model Canvas, DVF analysis.
Graduate with four case studies and a live portfolio website that show how you think, not just what you made.

What you graduate with

Case study 1 - Service design

A two-week sprint on a real service: as-is journey mapping, service blueprint, benchmarking, hi-fi prototype and public usability testing.

Case study 2 - Lean startup product

A business-driven app design: Lean UX Canvas, Business Model Canvas, survey and interview research, personas, preference testing and DVF analysis.

Case study 3 - The wicked project

A high-stakes systemic challenge tackled with design thinking, Claude Code and Claude Design, ending in a concept pitch.

Case study 4 - Your personal project

Two weeks on a topic you choose, with your own research methodology, information architecture, design system and before-and-after iteration evidence.

A live portfolio website

Site-mapped, styled and developed by you with Framer AI or Claude Code, hosted and online by the last Friday.

A documented AI workflow

Your own Claude.md and Skill.md project files, prompt frameworks and quality rubrics - a reusable working method, not a folder of chat logs.

Scholarships

If you fall into one of these categories your tuition would be reduced by 500€

Students over 40: because we know it’s harder to commit to learning at a certain age and we are willing to help.

Women in tech: we're proud to say that 45% of our graduates are women, and we're committed to achieving full gender equality. This is especially significant given that less than 9% of women work in tech, according to this StackOverflow industry survey.

How to get a scholarship:

After signing up online you will get a student's form to fill out where you can select the applicable scholarship. Your final tuition quote would be calculated based on that and you will get links for making the remaining payments.

Financing

We can assist in getting a student loan which usually have lower rates than consumer loans.

To do so we can send you a proforma invoice for the selected course which you can attach to the student's loan application.

Please fill out this form.

Instalment payments are available at the checkout by and PayPal.

Registration prepayment 580€.

Students projects showcase

FunJams

Case study for an event management app

Wander Woman

Case study for solo women travellers app

AGRI-Biz

VR eCommerce expo case study

Cupra

Infotainment car system case study

Students stories

Nicole Motivane

"Creating something that works - that's the real reward!"

Read full story.

Why Barcelona Code School?

Job-focused curriculum rebuilt for the AI era - not a legacy syllabus with an AI lecture added at the end.
Small groups of up to 6 students with the best mentor-to-student ratio.
Direct support from instructors who are working industry professionals.
Real projects, real users, and a portfolio that meets hiring expectations.
Access real hiring opportunities through our network of partner companies.
A structured path from beginner to job-ready in weeks, not years.
Career support - from CV guidance to interview preparation.
A focused, distraction-free campus in central Barcelona, or the same live classes remotely.

Why UX, and why now

AI has made it trivially cheap to produce interfaces. It has made it more valuable than ever to know which interface is worth producing.

That judgement - user research, problem definition, psychology, testing, ethics - is the part of UX that does not automate. It is also exactly what this course spends nine weeks drilling into you.

The designers doing well right now are the ones who pair that judgement with AI-speed execution. That combination is the entire point of this bootcamp.

But I don't know anything about UX...

You don't need any previous experience, and you don't need to code. The course takes you from zero to a solid, job-ready foundation in UX design.

You learn step by step - research, definition, prototyping, testing - with a clear structure and continuous guidance, and you use AI from week one, so it never becomes a scary add-on.

With small groups and personalized mentorship, you won't get stuck or fall behind.

All you need is a laptop and commitment. We'll guide you through the rest.

What if I already design, or already use AI?

If you already work in design, development or product, you'll structure what you know with real UX methodology and move from intuition to validated decisions.

And if you already use AI daily, this is where the improvising stops: context engineering, reproducible workflows, MCP integrations, quality rubrics and evaluation loops - a professional method you can bring into a team.

Students who advance faster get a more demanding track with harder briefs and direct job opportunities on graduation.

International students

You are welcome!

A lot of our students are coming from abroad. The course is in English so there is no language barrier.

If you will need help with visa we can send you an acceptance letter to attach to your visa application!

Book a call or meeting with us

If you want to have a discovery call to see which course is better for you and your goals please feel free to book a call or meeting on campus. We'd be happy to help you!

Or just call us: +34 936 639 807

FAQ

Do I need to know how to code?

No. You will use Claude Code and Framer AI to build prototypes and your portfolio site, but you drive them in plain English. No programming experience is required and none is assumed.

Is this just the normal UX bootcamp with AI lessons added?

No. The whole nine weeks were rebuilt around sprints, and AI is used inside each phase where a working designer would use it. There is also a dedicated theory module - prompt and context engineering, Claude Code and MCP workflows, quality rubrics, automated verification, and AI ethics and accessibility.

Will using AI make my portfolio look generic?

That is the single most common failure and we treat it as a core skill to avoid. You'll learn explicit anti-slop rules and quality rubrics, and every project is grounded in your own field research and usability testing - which is exactly what generic AI output can never fake.

Which AI tools will I actually learn?

Claude, Claude Code and Claude Design, Figma and FigJam with their AI features, Framer AI, and MCP integrations, plus Notion for research operations. More importantly, you learn the judgement to evaluate and adopt whatever replaces them next year.

What computer would I need?

You will need your own laptop for the classes. Mac or Windows both work.

What is the language of this course?

English.

Do I have to speak Spanish?

Not for the course. Everybody at our school speaks English. Spanish helps for living in Barcelona, but most people here speak English too.

Who is this course for?

Beginners and career changers, plus designers and product people who want a rigorous method. If you don't know what UX design is, this course is for you. If you already know what Lean UX is, even better.

Can I attend remotely?

Yes. Remote students join the same live sessions in real time with the same instructor and the same group. The only difference is that on-campus students do some of their field research and public testing together in Barcelona.

What qualification will I get?

An industry-recognized Barcelona Code School UX/UI Design Bootcamp certificate, plus - more usefully - four case studies and a live portfolio website.

Are there accommodation options for foreign students?

Make sure to check Uniplaces (use UP40BCS promo code to get 40% discount on their service fees), Spotahome and Barcelona home.

What about the cost of living in Barcelona?

Barcelona is affordable compared with other metropolitan European cities. The average cost of living for students is around 1000 euros per month - expect 500-1000€ for a room or 1000€ and up for an apartment, around 10€ for lunch in a restaurant, and 10€ for a 10-ride public transport pass.

Is there a pre-course?

Yes. We send you materials to study so you arrive prepared.

How does your price compare to other schools?

Our price sits in the lower competitive range. We keep groups small and pay for highly qualified instructors who are motivated to share their expertise, rather than spending on scale.