Format
Remote, with live mentor support
Outcome
Validated prototype, UX case study and a documented AI workflow
Language
English
Duration
9 weeks, part-time, 2–5 hours per week
Barcelona Code School
Since 2015 / 500+ graduates
UX/UI Design part-time Bootcamp with AI in Barcelona Code School
Learn User Experience and User Interface Design – and the AI workflow design teams now expect – by completing one real-life project guided by your mentor
Master the UX process – and an AI workflow – by building a complete case study with 1:1 mentor guidance
- Learn and apply the full UX workflow – from idea, research, and problem definition to prototyping and validation.
- Work the way design teams work in 2026: with AI inside every phase – research synthesis, prompt-to-prototype, verification – and without it where a human still does it better.
- Study through 1:1 mentored, hands-on training with continuous feedback at every step.
- Build a complete, portfolio-ready case study that demonstrates your process, decisions, and problem-solving skills.
Skills and tools
Design thinking
Prototyping
System design
UX Research
Information Architecture
UI Design
UX Writing
Validating
Accessibility
Web & App Design
Holistic approach
AI for design
Figma
Material Design
NotionThe AI toolchain you will actually use
- Figma and FigJam – the core of the craft
- Claude – research synthesis, interview analysis, critique
- Claude Design – concept and hi-fi generation you can steer
- Figma AI – automating the repetitive parts of design work
- Notion and Google Forms for research operations
Tools change. We teach a stack and the judgement to pick the right tool per phase, so you can swap any one of them out and keep working.
Learn by building a real case study
Work through a complete UX project from idea and research to prototype and validation.
Get continuous mentor support
Get weekly 1:1 video sessions plus ongoing feedback via chat, so you stay on track and improve at every step.
Build skills you can apply immediately
Learn practical UX methods used in real product teams – applicable to design, product, development, and business roles.
Why this course changed
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 – and something founders and product teams now expect by default.
A designer who cannot work this way competes at a permanent disadvantage, against people 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 in seconds.
This course sits between those two failures: rigorous, evidence-based UX methodology, executed at AI speed, with the quality control to prove the thinking is yours. One project, nine weeks, one mentor watching every decision.
What you’ll learn
- Apply a complete UX process – from research and problem definition to prototyping and validation.
- Turn an idea into a structured, documented case study that shows your thinking and decisions.
- Use practical UX methods and tools used in real product teams.
- Use AI across the whole workflow – prompt and context engineering, AI-assisted synthesis, prompt-to-prototype, and verification loops.
- Keep AI-assisted work out of the slop bin with explicit quality rubrics, so your case study reads as yours.
- Learn how to test, iterate, and improve your designs based on user feedback.
Stay consistent and finish your project
- 9-week structured path with clear weekly progress
- Regular check-ins to help you stay accountable and on track
- Direct feedback when you’re stuck – so you don’t lose momentum
- Live support via chat, weekly video calls with instructors
- An AI workflow reviewed by your mentor – not improvised from YouTube tutorials
- Pre-course materials to help you start with confidence
- Certificate of completion once you finish your case study
The outcomes
- Finish with a complete prototype and UX case study ready for your portfolio.
- Understand and apply the full UX workflow – from research and problem definition to testing and iteration.
- Gain practical, job-relevant UX skills you can apply in design, product, development, or your own projects.
- Leave with a documented AI workflow – prompt frameworks, project context files and quality rubrics – and the ability to talk about it in an interview without sounding like you outsourced your thinking.
How it works
- Sign up and get access to pre-course materials.
- Join the platform and set up your first 1:1 session with your mentor.
- Define your project idea and plan your UX process.
- Work step by step – research, wireframing, prototyping, and testing – using AI where it earns its place.
- Get feedback and improve your work at every stage.
- Finish with a complete, documented case study.
One project, nine weeks: phase by phase
You run a single real project from idea to case study. Every week is one phase of it, with a 1:1 mentor session to review what you produced. Click a week to open it.
Week 1: Project definition – Framing ↓
Week 2: Desk research and benchmarking – Discovery ↓
Week 3: Interviews and surveys – Primary research ↓
Week 4: Definition and personas – Synthesis ↓
Week 5: Information architecture and flows – Structure ↓
Week 6: Wireframes and mid-fi prototype – Build – part one ↓
Week 7: Brand, design system and hi-fi – Build – part two ↓
Week 8: Usability testing and iteration – Validation ↓
Week 9: Case study and presentation – Ship it ↓
The AI layer of this course
Alongside the project you build a professional AI method – the part that does not exist in a traditional UX course, and the part that makes the difference in an interview.
AI: 01 Prompt engineering that produces consistent design output
Chain-of-thought, few-shot and role-based prompting, structured output formats – how to get repeatable, high-quality results instead of lucky one-offs.
AI: 02 Context engineering for a long project
Your project runs for nine weeks. You learn to manage context windows, project instruction files and progressive disclosure so the model stays coherent about your product, your users and your standards from week one to week nine.
AI: 03 Multimodal visual loops
Using AI for visual exploration properly – feedback loops between prompts and images, with the model as a collaborator in moodboarding and ideation rather than a slot machine.
AI: 04 Prompt-to-prototype workflows
Generating mid- and high-fidelity screens with Claude Design and Figma AI, then steering and correcting them like a designer rather than accepting the first output.
AI: 05 Avoiding AI design slop
The single biggest reason AI-assisted portfolios get rejected. Explicit rules and quality rubrics that keep generated work specific, branded, accessible and recognisably yours.
AI: 06 Verification, ethics and accessibility
LLM-as-a-judge checks and testing loops to catch errors before your users do, plus bias, guardrails and why human oversight is non-negotiable in a design process.
What makes this different from a generic AI design course
AI in the process, not bolted on
There is no separate “AI week”. Each phase uses AI where a working designer would actually use it – and skips it where a human still does it better.
You do real research
Real interviews, a real survey, real usability sessions. 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 mentor reviewing your prompts too
Weekly 1:1 sessions cover not just the screens but how you got there – the prompts, the context you gave the model, and what you chose to throw away.
One deep project, not ten exercises
Nine weeks on the same product means you hit the problems that only appear at depth – including keeping an AI coherent about your project over weeks.
A case study, written properly
Most portfolios fail on the write-up, not the pixels. The last week exists only to turn your work into a story a hiring manager reads to the end.
Who this course is for
Developers
You build products but don’t always have design support.
Learn how to make better UX and UI decisions using structured methods instead of guesswork.
Founders and entrepreneurs
You have a product idea and want to build something people actually need.
Learn how to validate ideas, research users, and plan your product before development.
Product managers and professionals
You work with designers and developers and want to contribute more to product decisions.
Understand the UX process and decision-making to collaborate more effectively.
Career changers
You want to move into UX but cannot stop working for nine weeks full-time.
Build a portfolio-ready case study with a current AI workflow in 2–5 hours a week, around your job.
Visual and graphic designers
You can make things look right, but decisions still come down to taste.
Move beyond aesthetics into research-backed, validated design decisions – the part of the job AI does not do for you.
Designers already using AI
You use AI daily but the workflow is improvised and the results are uneven.
Replace it with a professional method: context engineering, reproducible workflows, quality rubrics and evaluation loops.
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
Tuition
2900€
One-time payment to register for the course.
Instalment payments are available at the checkout by 
and PayPal.
Start your UX journey.
Please choose the starting date
September 2026
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UX/UI Design 1:1 part-time Bootcamp with AI
Weekly 1:1 sessions, support platform, chat channel
After enrolling, you’ll get access to materials, meet your mentor, define your project, and start building – step by step, with AI in the workflow from week one.
Please choose a starting date first
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!
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!
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!
Students projects showcase
Why UX
Every digital product today competes on user experience. It’s not enough for apps and websites to work – they need to be intuitive, efficient, and built around real user needs.
UX design is the process behind that – combining research, psychology, and structured problem-solving to create products that people actually use and businesses can grow with.
AI has made it trivially cheap to produce interfaces. It has made it more valuable than ever to know which interface is worth producing – and that judgement is exactly what does not automate.
This course teaches you how to apply that process in practice – so you can design, test, and improve real products using proven UX methodologies, at the speed an AI-assisted workflow makes possible.
But I don’t know anything about UX...
You don’t need any previous experience to start. The course is designed to take you from zero to a solid, job-ready foundation in UX design.
You’ll learn step by step – from user research and problem definition to prototyping and testing – with a clear structure and continuous guidance. 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. You’ll build skills, confidence, and real projects throughout the program.
All you need is a laptop and commitment. We’ll guide you through the rest.
What if I already know something about design?
If you already have experience in design, development, or product roles, you’ll be able to build on your existing skills and structure them with UX methodology.
The course will help you move beyond visuals and intuition into research-driven, validated design decisions – the key difference between design and UX.
And if you already use AI daily, this is where the improvising stops: context engineering, reproducible workflows, quality rubrics and evaluation loops – a method you can bring into a team.
You’ll work on more complex challenges, refine your process, and create portfolio projects that demonstrate how you think and solve problems.
Financing
We can assist in getting a student loan which usually has lower rates than consumer loans.
We can send you a proforma invoice for the selected course which you can attach to the student loan application.
Please fill out this form.
Instalment payments are available at the checkout by and PayPal.
FAQ
What computer would I need?
It can be Mac or Windows.
What is the language of this course?
English.
Do I have to speak Spanish?
For the course you do not need Spanish. Everybody at our school speaks English.
Who is this course for?
Beginners. If you don't know what UX design is, this course is for you. If you already know some basics, that will help too.
Which AI tools will I actually learn?
Claude and Claude Design, Figma and FigJam with their AI features, plus Notion and Google Forms for research operations. More importantly, you learn the judgement to evaluate and adopt whatever replaces them next year.
Do I need to know how to code?
No. You drive the AI tools in plain English. No programming experience is required and none is assumed.
Will using AI make my project look generic?
That is the most common failure of AI-assisted portfolios and we treat avoiding it as a core skill. You learn explicit anti-slop rules and quality rubrics, and the whole project is grounded in your own research and usability testing – which is exactly what generic AI output can never fake.
Do I still learn the UX fundamentals, or is this an AI course?
You learn the complete UX process – research, definition, information architecture, prototyping, usability testing, iteration. AI is how you execute it faster, not a replacement for knowing it. The fundamentals are the part that keeps working when the tools change.
Do I need a paid AI subscription?
Most of the work can be done on free tiers, but a paid plan for your main assistant makes the longer project phases considerably smoother. Your mentor will advise you on the setup before you start.
Is there a pre-course?
Yes. We send you materials to study to come prepared.
What is the difference between this and online courses from Udemy or Coursera?
Our course is mentored. You work 1:1 with an instructor who is available via chat and weekly video calls, so you are not left alone with your questions.
Inquiry about the course
Some of the companies where our graduates work or worked
