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Deep Learning and Artificial Intelligence Engineering Bootcamp in Barcelona Code School

Deep Learning and Artificial Intelligence Engineering Bootcamp in Barcelona Code School

1:1 Online Mentored Bootcamp

What is Machine Learning Engineer?

A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems.

Our course is focused primarly on using ML for building Artificial Intelligence systems.

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Course format

Online, Mentored, 1:1, Part-time

  • 13 weeks duration
  • Can be done part-time
  • Get text and video materials upfront to have flexibility when to study during the day
  • Mentored and guided
  • Support platform to get help
  • Regular 1:1 sessions with your mentors
  • The course is taught in English
  • Modern curriculum with all the latest development in machine learning and AI
  • A graduate certificate

What you'll learn

  • Artificial Intelligence development with BERT, GPT, diffusion models, neural radiance field (NeRF)
  • Reinforcement learning
  • Language models and transformers
  • Artificial, convolution, recurrent and generative neural networks
  • Machine learning, tree models, K-means clustering
  • Advanced Programming with Python
  • Data Loading, Data Wrangling, Data Visualization

Tools

  • Python
  • Jupiter
  • Matplotlib
  • Pandas
  • Tensorflow
  • Tensorboard
  • Scikit-Learn

The outcomes

  • Get hired!

    After the bootcamp you will be able to start working as a junior engineer. Possible job titles would be:

    • Artificial Intelligence Engineer
    • Deep Learning Engineer
    • Deep Neural Networks Engineer
    • Natural Language Processing Engineer
    • Data Scientist
    • Machine Learning Engineer
    • Data Engineer
    • Computer Vision Engineer
    • Voice and Audio Processing Engineer
  • Enter the most cutting edge and fast-growing IT field with a portfolio of completed projects done during the bootcamp showcasing your practical skills!

Curriculum breakdown

Module 1: Python

In the first module we will reinforce the basics of Python and introduce you to 2 fundamental data management and data visualization tools: Pandas and Matplotlib.

By the end of this module you will be able to load data, explore it, clean it and visualize it in interesting ways.

Module 2: Classical ML, Tree-Based Models, K-Means Clustering and more...

You will learn some of the ML models that every Deep Learning Engineer and Data Scientist should know with a mix of both theory and practice.

Module 3: Intro to Neural Networks / TensorFlow

During this module we will introduce you to Neural Networks, Deep Learning and TensorFlow.

You will learn almighty Gradient Descent, Back Propagation, optimization methods for Deep Learning. You will gain a solid understanding of TensorFlow and TensorBoard.

Project suggestions: we will start working on a MNIST handwritten digit database.

Module 4: Recurrent Neural Networks & Convolutional NN

This module you will be introduced to Convolutional and Recurrent Neural Networks, and various visual (like object detection, recognition, segmentation) and text (sentiment analysis, text classification) analysis techniques.

Project suggestions: NLP (spam recognition, sentiment analysis, text classification), CV (object detection, background detection, object counting and tracking).

Module 5: Generative Neural Networks (GANS and VAE)

In this module we will start digging into more advanced concepts of ML, GANs (General Adversarial Neural Networks) and VAEs (Variational Autoencoders).

It is of the utmost importance that you become capable of implementing your own networks. In this module we will let you follow through a few selected papers and implement such networks from scratch.

Project suggestions: image colorization, text-to-image synthesizer, noise reduction, new human pose generation.

Module 6: Language Models & Transformers

In this module we will learn about the most important advancement of the last 4 years in Deep Learning: Transformers. We will also understand why they perform the way they do, and what are their limitations. We will work with Transfer Learning and Model Tuning to speedup model development.

We will implement the famous paper “Attention is all you need”, and a few other selected papers.

Project suggestions: chat bot, object detection with vision transformers.

Module 7: Final Project / Intro to modern AI (BERT, GPT, Diffusion Models, NeRFs, Data Annotation, deployment)

This is your time to shine! Develop your own unique project, or follow one of the pre-prepared tasks.

Projects suggestions: object video tracking, text to audio system, depth/volume extraction from image, translation chatbot.

Your mentor

Dr. Minerva Singh

Minerva holds a PhD from the University of Cambridge, MPhil from the School of Geography and Environment and an MSc from the Department of Engineering at Oxford University. With over a decade of experience in academic research, Minerva has contributed to renowned peer-reviewed journals like PLOS One, showcasing expertise in data science, deep learning, and earth observation (EO) for both non-governmental and industry stakeholders.

With strong track record in machine learning, data visualization, spatial data analysis, deep learning, and natural language processing using R and Python combined with many years of mentoring experience Minerva is the best instructor for this bootcamp.

Specializing in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others Minerva has a valuable real world experience to share with the students.

Minerva also has acted as a peer reviewer on highly regarded academic journals such as Remote Sensing and given guest lectures on prestigious forums such as Open Data Science Conference (ODSC).

Prerequisites

Python: We will provide you with a Python videocourse which starts from the basics and takes you to the advanced level. It contains about 7 hours of video lessons and around 100 of exersies with tests for you to practice in case you need to level up your Python.

Tuition

3950€

900€ paid upon registration, the remaining is due before course begins.

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 StackOverflow's 2022 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

Buy now, pay later. Provided by klarna logo

How to join the bootcamp

  • Choose the starting date and register online with 900€ payment which is part of the tuition
  • Fill out the student's form
  • If applicable choose your scholarship in this form to get 500€ discount
  • Receive the prep materials
  • Join our Slack workspace
  • Start preparing
  • Make the remaining payment due 5 days before the starting date
  • On day 1 receive the workflow instructions and main materials to start working on the course, submitting your work and booking your 1:1 sessions.

Access

March 4 – May 31, 2024

Deep Learning and Artificial Intelligence Engineering Bootcamp

Format: online

Tuition: 3950€

Become a ML/AI Engineer in 13 weeks

13-week course, online, mentored, in English, part-time.

Registration prepayment 900€.

April 1 – June 28, 2024

Deep Learning and Artificial Intelligence Engineering Bootcamp

Format: online

Tuition: 3950€

Become a ML/AI Engineer in 13 weeks

13-week course, online, mentored, in English, part-time.

Registration prepayment 900€.

May 6 – August 2, 2024

Deep Learning and Artificial Intelligence Engineering Bootcamp

Format: online

Tuition: 3950€

Become a ML/AI Engineer in 13 weeks

13-week course, online, mentored, in English, part-time.

Registration prepayment 900€.

International students

You are welcome!

A lot of our students are taking the course from abroad. Since this bootcamp is completely remote, you can join it from anywhere in the world!

Why Barcelona Code School?

  • Cutting edge curriculum tailored to job market and companies’ needs
  • Best students/mentors ratio
  • Instructors, who know how to teach
  • Fast track from beginner to job-ready coder
  • Job offers for the students constantly coming from our hiring partners
  • Life-time career support
  • Premium location – cozy campus with a terrace in the downtown of Barcelona away from the touristic crowds

Why Machine Learning and AI?

  • According to the latest HackerRank survey the most in-demand skills in the job market in 2022 were (ordered by volume):
    • 1. Problem Solving
    • 2. Machine Learning
    • 3. REST API
    • 4. React
    • 5. HTML/CSS/IS
    • 6. Data Wrangling
    • 7. Node.is
    • 8. Data Visualization

    As you can see Machine Learning and Data Engineering fields are among the top in-demand in the market.

  • Data science-related skills are the biggest gainers in the same survey, show that there is more and more demand for Data Engineers.
  • Recent exponential progress in the AI engineering field means spike in demand for the Data Engineers as now technology allows more business start using AI.

FAQ

What computer would I need?

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!

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 speak English. To feel comfortable in Barcelona Spanish would help but nowadays in most of the places local people do speak English.

What qualification I will get from this course?

After succesfull completion you will become a junior Machine Learning and Artificial Intelligence Engineer and will be able to apply for any relevant entry engineering positions.

How good would a typical graduate be after completing the course?

You will be able to work in Machine Learning, Deep Learning, AI development as a junior engineer.

Is there a pre-course?

Yes! We will send you some training materias to complete before the bootcamp.

How does your price compare to other schools?

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!

Inquiry about the course

If you are not a robot, how much would be 7 plus 6?

Some of the companies where our graduates work or worked

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Glovo
Capgemini
Typeform
An innovation advisory firm working at the intersection of corporates and startups
Tipser is powering commerce at the point of inspiration by making any digital surface shoppable.
Barcinno is the community-driven platform sharing the stories, knowledge and events of Barcelona’s startup and tech communities.
Accenture Technology Logo
FutureFunded is a crowdfunding platform that helps women to raise money that are needed to enroll into a JavaScript Full-Stack Bootcamp and study at Barcelona Code School. By partnering with FutureFunded Barcelona Code School helps to  to reach equal representation of women in tech by educating high-profile female leaders and introducing them to a job market.
Metro AG, otherwise known as Metro Group, is a German global diversified retail and wholesale/cash and carry group based in Düsseldorf. Thanks to a partnership with Berlin office of Metro AG we can offer internship of 4-8 weeks for the graduates and option to get hired after that. With Metro AG you might expect such amazing things as access to one of the best learning platforms and in-house training, talent rotation program, working with latest technologies in agile development process.
ThoughtWorks is a privately owned, global technology company with 40 offices in 14 countries. It provides software design and delivery, and pioneering tools and consulting services. The company offers Barcelona Code School graduates the opportunity to work as Graduate Software Developers.
Ayudamos a las personas emprendedoras de hoy con una nueva generación de soluciones pensadas para cubrir toda la gestión del negocio, desde las finanzas hasta los recursos humanos. Nuestra tecnología social y móvil proporciona datos en tiempo real para que puedas tomar decisiones rápidas y fundadas en cualquier momento y desde cualquier lugar del mundo. Apoyamos a las personas emprendedoras en todas las etapas del negocio proporcionándoles variedad de soluciones y servicios, soporte de expertos, experiencia e innovación. Entendemos tus necesidades y, por eso, te ofrecemos consejos y asistencia de máxima calidad cuando más lo necesites.
Revolutionizing the way publishers create, optimize and monetize their mobile websites. Marfeel’s proprietary technology gathers insightful data on user behavior and dynamically adjusts site layout to match usage patterns, optimizing user engagement and maximizing ad revenue.
GreenPowerMonitor is an international company with European headquarters in Barcelona that offers products and services in the renewable energy sector. GreenPowerMonitor offers Barcelona Code School graduates opportunity to join their Software development team.
WeFitter is data-driven wellness app that helps companies optimize employee's engagement and health. WeFitter works with companies all over the world like Banco Santander, Phone House, Reebok or Sanitas. They are backed by one of the most important wellness holdings in the world, and they aim to go global next year.
Genius Sports is a global leader in sports technology. They specialise in providing software for the collection, management and distribution of official sports data. Headquartered in London and with over 1,100 employees globally, Genius Sports is recognised as one of the fastest growing sports technology companies in the world. Genius Sports is the trusted partner to over 500 sports organisations, including some of the largest leagues and federations in world sport such as FIBA and the English Premier League. Genius Sports is offering Barcelona Code School graduates work as Junior Front-End Web Developers.
Restb.ai is an AI company that specializes in visual recognition for Real Estate. Their plug-n-play solutions automatically tag and classify property photos with industry-specific information. Thanks to our collaboration with Restb.ai we can offer you to join their team as Full Stack Engineer Intern.
Booklyng is a start-up who is changing the way hotel bookings are made online by adding real time intelligence and personalization technology to hotel websites. Booklyng is a part of the Telefonica acceleration program for start-ups (Wayra) and their offices are based in the headquarters of Telefonica, sharing a vibrant space along with other start-ups, in an extremely stimulating and enriching environment. At the moment Booklyng is looking for frontend Software Developers with very strong skills in programming, and would be happy to hire Barcelona Code School graduates.
InnoCells: We create and foster new digital ventures, collaborate with startups and corporations, and make digital strategic investments. InnoCells is one of BCS hiring partners where our graduates could take an advantage of learning MERN stack and applying obtained JavaScript and react skills.
Biings Technologies is a small software start-up currently working on our flagship product Biings, a new kind of Human Resource Management application based on wellbeing principles.
Real Mentoring for startups in seed phase.
Internship opportunities in automotive division of ALTRAN (Barcelona):
At Saltech Consulting, we are offering business process and decision management solutions for enterprises using the Pega platform. Our goal is to fix the Pega talent gap and help the enterprises to make their business processes more efficient. We are looking for software engineers who are interested in solving business problems.
A unique digital solution that connects local shops and department stores with a pool of  geo-localised taxi drivers, to carry out the delivery of small parcels in less than 60 minutes 24/7.
Syneidis’ primary mission is to help European institutions and companies protect their privacy by protecting themselves from cyber attacks, wherever they come from, and specifically to help protect their confidential data both at rest and in-transit, by commercializing a growing suite of cybersecurity products that are easy-to-use, solving the proverbial conundrum between security and usability.
Unnax.com: Power your company with our cutting-edge API payments platform and benefit from products built for optimised speed, security and strategy. Build dynamic applications with our user-friendly Banking as a Service APIs and get to market faster.
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