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.
Since 2017 with continuous updates and improvements 🤓
After the bootcamp you will be able to start working as a junior engineer. Possible job titles would be:
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.
This module we will introduce the advanced math and probability that you need to know to start your journey in Machine Learning. A strong understanding of math and probability is key to successfully progress in AI & ML.
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.
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 JS and TensorBoard.
Project: we will start working on a MNIST handwritten digit database.
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: we will provide you with a few NLP (Natural Language Processing) and CV (Computer Vision) projects that you can follow through and implement by yourself.
This module we will start digging into more advanced concepts of ML, GANs (General Adversarial Neural Networks) and VAEs (Variational Autoencoders).
Project: it is of the utmost importance that you become capable of implementing your own networks. This module we will let you follow through a few selected papers and implement such networks from scratch.
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.
This is your time to shine! These last 2 modules you will have 2 tasks:
While having a background in physics, math, computer science, or telecommunications or work experience in IT may be advantageous when taking this course, it can still be valuable and informative for anyone who is interested in the subject and is prepared in some alternative ways, for example through self-learning.
580€ paid upon registration, the remaining is split in two payments due before course begins.
Students over 40: because we know it’s harder to commit to learning at a certain age and we are willing to help.
Single parents: because it’s a tough job to raise kids alone, keep it up. We are here to support you!
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.
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.
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Format: online
Tuition: 3950€
Become a ML/AI Engineer in 13 weeks
13-week course, online, mentored, in English, part-time.
Format: online
Tuition: 3950€
Become a ML/AI Engineer in 13 weeks
13-week course, online, mentored, in English, part-time.
You are welcome!
A lot of our students are coming from abroad. The course is in English so there is no language barrier. And if you will need help with visa we can send you an acceptance letter to attach to your visa application!
As you can see Machine Learning and Data Engineering fields are among the top in-demand in the market.
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.
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.
Make sure to check Uniplaces (use UP25BCS promo code to get 25% discount), Spotahome and Barcelona home.
We can also help you with a personalized search. As a rule of thumb the closer to our school the better the area is. Just send us couple of links of the properties you've chosen if you need our advice on that.
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 300-600€ to rent a room or 600-1000€ for the apartment, around 10€ for a lunch in a restaurant, 10€ for a public transport 10-ride pass.
You will be able to work in Machine Learning, Deep Learning, AI development as a junior engineer.
Yes! We will send you some training materias to complete before the bootcamp.
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!
