In nine full-time weeks you learn the complete software engineering stack - JavaScript, TypeScript, React, React Native, Node, Express and MongoDB - and you learn it the way development teams actually work in 2026: with AI in the workflow, and with AI inside the products you build.
Bootcamps since 2017 with continuous updates and improvements
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Tools change. We teach a stack and the judgement to pick the right tool for the job, so you can swap any one of them out and keep working.
The developer job market changed shape. Typing code is no longer the scarce skill, and job descriptions now say so out loud. Teams expect a junior developer to arrive already working with AI assistants - and increasingly to be able to build AI features, not merely consume them.
That has produced two kinds of candidate who do not get hired. The first cannot work with AI at all, and competes against people who ship three features in the time they ship one. The second uses AI for everything and cannot explain, debug or secure a single line of what it produced - which any technical interview exposes in about ten minutes.
This bootcamp is built for the space between those two failures: real software engineering fundamentals, executed at AI speed, with the judgement to know when the machine is wrong.
Nothing was removed from the curriculum to make room for AI. The fundamentals are still the fundamentals. The AI layer sits on top of them, because without them it is worthless.
Every week uses AI at the point a working developer would actually use it - and skips it where writing the code yourself is how you learn. There is also a dedicated AI engineering week, because shipping AI features is now its own skill.
Nothing enters your repository that you cannot walk through line by line. This is the single rule that separates a developer who is faster with AI from one who is helpless without it.
LLM APIs, structured output, tool calling, embeddings, vector databases, RAG and agentic patterns - shipped as real features inside your own full-stack application.
Models reproduce the same vulnerabilities with impressive consistency. You learn to read generated code as an adversary - validation, authorisation, secrets, injection - before any of it ships.
Small groups mean an instructor sees your code daily and catches the habits that would otherwise take a year of professional work to unlearn.
You graduate with your own Claude.md project files, prompt patterns and review checklists - a reusable working method you can describe in an interview, not a folder of chat logs.
This is the part of the curriculum that did not exist in a traditional coding bootcamp - and the part that answers the question every technical interviewer now asks.
Tokens, context windows, training cutoffs and why a model invents libraries that do not exist. Understanding the mechanism is what turns an assistant from a slot machine into a tool you can rely on.
Chain-of-thought, few-shot patterns, role framing and structured output formats - written for code, tests and refactors rather than for essays. How to get a consistent result instead of a lucky one.
Claude.md project files, progressive context disclosure and context window management, so an assistant working on week nine of your project still knows the decisions you made in week two.
Model Context Protocol integrations that connect an assistant to your database, your repository and your documentation, so it reads your real state instead of hallucinating a plausible version of it.
Feeding an assistant a stack trace, a failing test or a legacy module and steering it to a real fix. Also the harder skill: recognising when it has confidently produced a change that makes things worse.
Models reproduce the same vulnerabilities with impressive consistency: missing input validation, injection, broken authorisation, leaked secrets. You learn to review generated code as an adversary before it ships.
Streaming responses, structured output, tool calling, embeddings and retrieval-augmented generation over your own data - shipped as a real feature inside a real application, not as a demo notebook.
LLM-as-a-judge evaluation, regression prompt suites, prompt injection defence, rate limits and token budgets. The engineering discipline that keeps an AI feature from becoming an unbounded production liability.
Great school and even better team. I couldn't be happier with the progress and the outcome! Complete support throughout the course, constant feedback, always constructive criticism, a wealth of experience in what they do, and a huge desire to do it well. They're brilliant! Highly recommended.
I just completed the Javascript Full-Stack bootcamp and would highly recommend it for anyone trying to get into the tech industry. 9-weeks flew by and we learned so much! Very happy to have chosen this school. 5/5
When the course is over, you really feel prepared to get into the work market, you know the top demanded technologies and have enough confidence to pass technical tests in job interviews.
Some of us even had some real interviews/tests during the bootcamp, thanks to the connections that the school has with hiring companies.
Overall, it has been a super nice experience for me. I feel that I've learned really good skills for the job market, and I would recommend it to anyone that wants to learn coding.
10% paid upon registration, the remaining is split in two payments due before course begins.
Instalment payments are available at the checkout by 
and PayPal.
On campus or remote live
Secure your spot with a registration prepayment of 580€.
On campus or remote live
Secure your spot with a registration prepayment of 580€.
On campus or remote live
Secure your spot with a registration prepayment of 580€.
On campus or remote live
Secure your spot with a registration prepayment of 580€.
Pedro Guimarães
Mid Developer at VectaX, Brazil
"As soon as I got back to Brazil, the company that I work for gave me a challenge to build the app version of our web app, and I managed to do it all by myself without any senior help and they promote me to mid-level developer."
Ting Liu
Developer at Metro AG, Berlin
"I made an extra studying plan, I spent 1-2 hours a day at home reading some programming-related articles to help myself understand better my code."
Ross Fleming
Front-end developer at Raet, Madrid
"If you put a 100% percent of yourself, you get the same in return and can start looking for your new job as a developer. It took me a bit more than one month to find a job, it is incredible. To those who have never had experience of intensive training, bootcamps can seem to be some kind of wizard schools".
Brianna Fritsch
Website Manager at IESE, Barcelona
"The instructors continued to motivate me and remind me that I would get it if I kept practicing. They encouraged me to keep going because if it was that easy to become a developer then everyone would be doing it. They really helped me to keep going even my moments of frustration and defeat."
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
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!
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.
We can assist in getting a student loan which usually has 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.
Each day is structured for fast, hands-on learning. You start with a focused session introducing new concepts, then spend most of the day coding, building, and solving real problems.
You'll work individually and with guidance from instructors, getting feedback and improving your code as you go.
The program is 80% practical, 20% theory – designed to help you learn by doing, not just watching.
No prior experience is required. We send you pre-course materials to study before the bootcamp begins — we estimate around 40 hours if you're starting from zero knowledge of JavaScript, HTML, and CSS.
Yes. The bootcamp is available both on campus in Barcelona and as a remote live option. Remote students join the same live sessions in real time with the same instructors and group.
The bootcamp runs Monday to Friday, 9:00 to 18:00 CET. It is a full-time, intensive program — 360 hours of hands-on training over 9 weeks.
Groups are capped at 6 students. This means you get direct, personalized attention from instructors every day — not a lecture hall experience.
The curriculum is built around real hiring requirements. You will graduate with a portfolio of projects, and we provide career support including CV review, portfolio preparation, and interview coaching. Many of our graduates have gone on to work as developers at companies across Europe and beyond — you can read their stories on our website.
On the software engineering side: JavaScript, TypeScript, React, React Native, Node.js, Express, MongoDB, HTML, CSS and Git. On the AI side: professional use of AI coding assistants such as Claude Code, prompt and context engineering, Claude.md project files, MCP integrations, LLM APIs with streaming and tool calling, embeddings, vector databases, RAG, agentic patterns, and evaluation with guardrails and cost control.
You learn real programming. The fundamentals were not cut to make room for AI - you still write code by hand, read stack traces, model data and secure endpoints, and nothing goes into your repository that you cannot explain line by line. The AI layer sits on top of that foundation, because without it an AI assistant only helps you produce code you cannot maintain or defend in an interview.
Both, and they are different skills. You use AI assistants throughout the bootcamp to work faster, and there is a dedicated AI engineering week where you ship AI as a product feature: working with LLM APIs, streaming, structured output and tool calling, then building retrieval-augmented generation over your own data with embeddings and a vector database, and evaluating it with LLM-as-a-judge checks, guardrails and cost budgets.
Claude Code for AI-assisted development on a real codebase, the Claude API for the AI features you build, MCP integrations to connect assistants to your data and tools, and a vector database for retrieval. The point is not any single product - tools change. You learn a stack and the judgement to pick the right tool for the job, so you can swap any one of them out and keep working.
What is disappearing is the role of someone who only types code that a model can now produce in seconds. What teams are hiring for is a developer who understands systems, reviews and hardens generated code, and can build AI features into a product. That is exactly what this curriculum is built around.
Yes. Upon successful completion of the bootcamp you receive an industry-recognized certificate from Barcelona Code School.
Yes, Barcelona Code School offers scholarships. Check the scholarships section on this page for current options and eligibility.
Yes. You secure your spot with a registration prepayment of 580€ (10% of tuition). The remaining balance is split into two payments due before the course begins. We can also assist with student loan applications — contact us for a proforma invoice.
Any operating system will do, Mac, Windows or Linux. If you are thinking about buying a new one then the best choice would be an Apple laptop: Macbook, Macbook Air or Macbook Pro. On Windows laptop everything is doable as well, simply some things work slower on Windows but it's not going to prevent you from succeeding!
English.
For the course you do not need Spanish. Everybody at our school speak English. To feel comfortable in Barcelona Spanish would help but nowadays in most of the places local people do speak English.
If completed successfully you will become a junior full-stack developer. Meaning you will know how to build web apps and be able to apply for the entry developer's position.
Make sure to check Uniplaces (use UP40BCS promo code to get 40% discount on their service fees), Spotahome and Barcelona home.
Barcelona, compared with other metropolitan European cities, is quite affordable or even cheap place to live. According to the latest survey, the average cost of living for students in Barcelona is around 1000 Euros per month.
Expect to spend 500-1000€ to rent a room or 1000€ and up for the apartment, around 10€ for a lunch in a restaurant, 10€ for a public transport 10-ride pass.
You will learn the skills to begin as a junior full-stack developer, will know how to build fully functional web apps and have a solid foundation to improve your expertise.
Yes. We send you materials to study to come prepared! We estimate it to take around 40 hours if you start from absolutely 0 level of knowledge of JavaScript, HTML and CSS.
It's safe to say that our price is within lower competitive range. We strive to provide the personalized approach thanks to smaller group size and attract highly qualified instructors motivated to share their expertise with students. You will love it, we guarantee!
