Artificial Intelligence

What you are getting into? 

< 11 weeks full-time >

< 100% hands-on >

< Women and women-identified-only environment >

< Careers and mentorship >

This course is for women who want to have a greater impact on the career they wish to undertake. We will provide you with the basic skills you need to master in order to work in a data science and AI project. And you will put these concepts into practice by conducting an analysis that is 100% driven by your own interest. With this, we allow you to build a portfolio that best matches your ambitions & needs.

This course trains you to apply in any of the following job titles:

< Data Analyst>

< Data Scientist >

< Business Artificial Intelligence Analyst >

Suitable for you if you are a:

Career changer: For women without a STEM background who are driven and passionate about the tech industry and want to take a step into the artificial intelligence sector.

Career Booster: Women who are established in their professional career and want to jump to the next level by adding AI understanding and AI design to their resume.

Entrepreneur: Women who run their own venture or have an entrepreneurial mindset and want to develop an AI-based product or service.

Recent STEM graduate: Women who have studied STEM disciplines and want to take a deep dive into the world of artificial intelligence.


Remote. 2 weeks part-time. 

We want you all to be on the same page from the first day of the program. To do this, we will give you a dataset to work on during these weeks from which you will learn the basics of Python applied to your first Data Analytics project.



On Campus. 11 weeks full-time.

Week 1 – Programming with Python + Understanding the data science process. What, why, and how. Use cases, tools, motivation and data analysis.

Weeks 2 – Understanding Machine Learning: Regression Algorithms. What, why, and how. Machine Learning Principles Part 1.

Week 3 – Understanding Machine Learning: Classification Algorithms. What, why, and how. Machine Learning Principles Part 2.

Week 4 – Unsupervised Machine Learning. What, why, and how. Machine Learning Principles Part 3.

Week 5 – NLP & Sentiment Analysis: Dealing with real data and its particularities. What, why, and how. Build your dataset from scrapping Tweets.

Weeks 6 – Define your Final Project. Create your own AI project from scratch under the guidance of the mentor and our community of Inspiring Women.

Weeks 7 & 10 – Full immersion in developing your AI project. Use the knowledge you gained to complete your project. You will be working under the guidance of the mentor and our community of Inspiring Women.

Week 11 – Demo Day. Career Assessment. Hiring Day. Wrap-up your analysis and work to deliver a professional presentation.

A day at AllWomen

9h – 9h30: Coffee. Check-in. Review

9h30 -10h30: Lecture 1

10h30 – 11h30: Pair Practicing

11h30h – 12h: Break

12h – 13h: Lecture 2

13h – 14h: Pair Practicing

14h – 15h: Lunch

15h – 18h: Pair Practicing

18h – 20h: Open Talks and Events

  1. Submit the application form
  2. Let’s have a five-minutes chat on the phone afterwards.
  3. Let’s meet in person and have your first personal interview.
  4. Send us your motivation letter and your CV.
  5. Let’s have a second personal interview with one of our tech advisors.
  6. Let’s do a technical assessment.
  7. Let’s meet again, so to take a look at your assignment together.
  8. You’re in!
  9. Pay the deposit, get access to the pre-work, and finish it. It should take you about one week full-time, or two weeks part-time.
  10. Pay the rest of the tuition fee.
  11. Welcome to the first day of changing your life, welcome to our campus!

Board of Advisors

Regina Llopis
Regina Llopis
Group AIA President. Phd in Mathematics and AI. Founder WA4STEAM

Susana Duran
Susana Duran
Director of Engineering Mobile & Bots at Sage. Computer Science Engineer

Instructors & Guest lecturers

Celsa Diaz
Lead instructor
Data scientist & Computational Biophysicist

Carmen Iniesta
Carmen Iniesta 
NLP Developer & Data Scientist at CodeControl

Lauren Romeo
Data Scientist at Zurich Insurance

Giovanna Miritello
Lead Data Scientist at Vodafone

Elisenda Bou
CTO at Vylnix




Marta Dies
Data Science, PhD. AIA

Maria José Pelaez Montalvo
Data Scientist & PHD Mathematics. Schibsted

Paula Petrone
Senior Consultant Life Sciences Europe at Health Catalyst

Course content authors

Violeta Mezeklieva
Data Scientist Mentor & Business Consultant

Raquel Garcia
Data Scientist at Bismart & Business Intelligence Consultant


The cost of the program is 6950€ (VAT included).


You will be with us and at our campus for 10 hours a day, during 11 weeks, 550 hours in total, from Monday to Friday.

We ask for a deposit of 750€ once you have been accepted into the program in order to access the pre-work.

We expect you to pay the remainder of the tuition fee before starting the program (we have a payment schedule policy)


These are the dates of our next Artificial Intelligence Immersive program:

8th April – 21st June 2019

23rd September – 6th December 2019

Hiring and internship partners 

We are 100% dedicated to the future and professional career of our students. That’s why we have established hiring and internship agreements with different local and international companies for you after the program. Some of those companies are:



Mentorship Network 

We also have an extended mentorship network, women just like you who work in the tech field. You are not alone in this new adventure, we got you your back and we are many of us.

After the program will invite you to join the mentorship network, so you can mentor the next generation after you. For us, this is all about community and role modeling. So, welcome on board!

Visit our FAQ section for more extended information, and if you don’t find your answer please get in touch with us.