intro-to-python.jpg

Part-time
AI Engineer bootcamp
- 26 weeks

Change your life at your own rythm. With us, you will be able to transform your career and prepare for the future of work.

During your journey, you will go from learning the fundamentals of AI all the way to implementing your own neural network and applying it to a real world problem. In other words, you’ll become an AI hero.

The bootcamp is in English and requires a good level of Python programming

NEXT COHORT STARTING 21ST OCTOBER - APPLY NOW

 
 

Program overview

key outcome

You’ll be a kick ass junior AI engineer with a portfolio of real projects to showcase your skills.


duration

26 weeks, 400+ hours

where

Mapfre tower,
C/ de la Marina, 16, Barcelona

mode

Presential -
Tue-Thu 6:30-9:30
Sat 10am-6pm

level

Python coding experience required

tuition fee

€6890

NEXT AVAILABLE CLASS

21st October - 23rd May

 
 
blue-background.jpg
 

Who is it for?

This program is perfect if your ambition is to pursue a career as a Data Scientist or AI engineer at your own pace. Either because you feel like you’d like to switch career paths to data science or because you know that AI will enable you to stand out among your colleagues and peers, this course is the right fit for you.

You will be able to work on our intense and exciting curriculum with a group of high-performing peers.

This course requires previous programming experice in Python -or your motivation to learn it at a world-record speed- and a solid knowledge in Math, Statistics and Probabilt as they lay the foundation between Machine Learning, Deep Learning and everything in between.

 

 

Syllabus Overview

The bootcamp starts with a powerful introduction to the current and historical context of AI, highlighting the massive opportunities of the technology as well as its inherent dangers, and presents the AI hero pledge which all students are asked to abide by.

The program is then structured around 6 core modules

2 - machine learning

The second module dives straight into Machine Learning, working across real world challenges to master classification, regression  and clustering, with both structured and unstructured data sets. Students will start working with dedicated AI libraries and tools. We’ll also cover real case studies with practitioners from various sectors.

1 - AI fundamentals: Python, statistics, maths for AI Introduction and context

We begin coding with Python, covering Computer Science fundamentals and drawing upon libraries and automation scripts to solve complex problems quickly. This module also covers a refresher of the key mathematical concepts required for AI, in particular linear algebra, vectors and matrices.

 
 

3 - Neural networkS and deep learning

Leveraging the machine learning knowledge acquired previously, this module will challenge students to get to the cutting edge of current AI technology. After a theoretical introduction to Neural network and their architecture, we’ll get to hands on work with the most advanced tools and frameworks such as Pytorch and tensorflow, applying the theoretical knowledge to some transfer learning applications. By the end of this module, CNN, GAN, reinforcement learning or NLP will be part of every student’s knowledge stack.

4 - APPLIED AI (Computer Vision, NLP, AI in HEALTH)

This series of modules covers the application of AI and Deep Learning into real life. From facial recognition and self driving cars with Computer Vision to Sentence similarity and N-grams with NLP, all together with a module on AI in Health and Ethics. The focus of this section is to practice the implementation of several projects while learning and discovering the most appealing area in which you would like to delve deep within your final project.

 
 

5 - Project work and showcase

The program would not be complete without putting all the knowledge into and end-to-end AI application. The last module will focus entirely on developing a real world project, entirely based on the student’s own interest, either working in teams or individually. This will be capped by a demo day, where the students will showcase their AI prowess in public, in front of potential employers or other professionals.

6 - GRADUATION AND LIFELONG LEARNING

After the program finishes, we will continue to support your journey into the AI world by helping you land your first job, and keeping you up to date with relevant articles, exercises, papers and projects to look into. If there is something guaranteed in the AI field is that its fast evolution and iteration pace demands you to have a lifelong learning attitude and we are more than ready to enable that!

 
 

Alumni

1_nora.jpg

Nora Lama

Associate Account Strategist at Google

“The thing that improved my knowledge the most was the learn-by-doing methodology. ... It doesn’t matter how much experience you have or even which background you are from”

2_alberto_moreno.jpg

Alberto Moreno

Product Owner at Haufe Group

“My expectations from the course were to meet the right kind of people and learn how to implement the cutting edge technologies in the field. Anyone interested in AI should definitely join this!”

3_uxue.jpg

Uxue Lazcano

Data Scientist at Hospital del Mar (IMIM)

“Cuando estaba acabando las clases del máster de bioinformática, justo me enteré de que existía la Inteligencia artificial y el deep learning. El curso era justo lo que buscaba.”

irene-font.jpg

Irene Font Peradejordi

AI Masters Student at Cornell Tech University

“What happens if what we think is useful for society is also harmful? I am keen on solving the issues regarding bias and AI, particularly the human bias”

6_david_collado+copia.jpg

David Collado

Software Engineer

Even if you don’t know that much, you just have to go for it. There is no easy way but it will eventually get easier. It is a great atmosphere, you can find people from every kind of background doing this because it’s their passion.

joan_melchor.jpg

Joan Melchor

Cofounder RoboCAT

This course got me more in depth, I didn’t know anything about AI and now I know where to find all the knowledge. Initially it was easy because we all were so eager to do AI.


Our students are working on responsible and impactful AI projects for some of the best companies or institutions in the world

 
microsoft.png
googlelogo.png
harvard.png
kernel.png
accenture.png
imim.png
basf.png
repsol.png
capgemini.png
upc.png
sdg.png
hp.png
blue-background.jpg
 

Need more reasons?

Costa Rican economist Ana Lucia Duran shares why she wants to master Artificial Intelligence and how she will use her skills in her country.

 

Eva Deltor, fellow and scholar of the summer ‘19 AI engineer Bootcamp shares her experience during the first two weeks of the bootcamp.

Next Class

21st october - 23rd May, 2020

Carrer de la Marina, 16, 18, 08005 Barcelona

Tue / THU - Sat

6:30 PM to 9:30 PM - 10 AM to 6 PM

intro-to-python.jpg
 
 

More Questions?

Call us at:

+34 695 26 32 34

Or send us an email:

hello@akademy.ai