AI Saturdays

Our flagship program AI Saturdays lasts about 12-15 sessions of 5h each. It is always scheduled on Saturdays, so that everyone has the opportunity to learn while building projects powered by AI.

The AI Saturday programme rests on 3 stages: the first phase of the programme follows a hands-on approach in ML or DL, the second phase consists of the creation of social impact projects that are presented to the community in the last step, the DemoDay.

Watch what it's like

1º - Code 2 Learn

During the first half of the program, we learn the foundations of Machine Learning or Deep Learning through coding exercises on GPU enabled environments in a collaborative way. You will be assisted by facilitators and mentors all along this stage.

We follow a top-down approach to learning by programming. To start, you will need some knowledge in Python and to know how to handle the basics of data science libraries. We go for challenges that encourage thinking.

Practice > Theory

2º - Build 2 Learn

In the second half of the program, we build end2end AI powered prototypes using what we have just learnt. Working with both a dataset and a model of your choice, we address a real problem with AI, looking for social impact ideas.

For the projects, we put together multidisciplinary teams where diversity stands out. You can flip through all the projects we developed here.

3º - DemoDay

Finally, after completing the Saturdays sessions, you deliver a presentation on DemoDay. This day, you can reveal to the community what you have accomplished and we all celebrate your project showcase.

To submit your project you will need to display your work beforehand in an article in our blog and publish the code in open source through Github.

Featured projects

Focus On Driving: Redes Neuronales aplicadas a la Seguridad Vial

Donostia. Segunda Edición. 2021 Introducción Según la Dirección General de Tráfico (DGT), la distracción en la conducción es una de las principales c ...

CiclopeIA: Inteligencia artificial para la ayuda a personas con discapacidad visual

Latam online. Segunda Edición. 2021 A mucha gente le motiva los retos en el trabajo, en los estudios y en la vida en general, pero pregunto, puedes imag ...

Machine Learning para predecir la severidad de siniestros viales.

Latam online. Segunda Edición. 2021 Los accidentes de tránsito constituyen una de las causas de fatalidad y gravedad más importantes en distintos lugare ...

Transformación de Imágenes de Angiotomografía por medio del uso de Inteligencia Artificial.

Latam online. Segunda Edición. 2021 Angiotomografías con contraste ¿Cuál es el problema? El reto Los medios de contraste vía endovenosa que se ...

Inteligencia artificial para la detección de Aglomeración de Basura

Figura 1.- Acumulación de basura en las calles. Latam online. Segunda Edición. 2021 En la actualidad, los desechos municipales a nivel mundial podría ...

Descubriendo la calidad del sueño con técnicas de Machine Learning

Latam online. Segunda Edición. 2021 El brote de COVID-19 y las respuestas sociales adoptadas para combatir su propagación (por ejemplo, el confinamiento ...

Machine Learning para prevenir el acoso online de menores

De la navegación segura al miedo a perderlo. Cuando tus hijos navegan en internet, ¿aplicas o configuras algún filtro de control parental? Latam onli ...

Contenedor de residuos educativo inteligente

"Aprendí que nunca somos demasiado pequeños para hacer la diferencia"Greta Thunberg Latam online. Segunda Edición. 2021 Es una de las frases celebres de ...

How is the programme built?

You can choose different curriculums in Machine Learning or Deep Learning depending on your knowledge and interests in AI. You will learn in group with your mentors through coding exercises and share with your partners.

Machine Learning Curriculum

This programme consists of a minimum of 6 weeks, that can be extended at the discretion of the city manager. Here you can take a look at the basic content you will learn.

During the weeks of the Code2Learn phase we are not seeking for a complete training, but rather for you to develop the ability to use Machine Learning in practical exercises.

Level: beginner

Deep Learning Curriculum

The Deep Learning curriculum also consists of a minimum of 6 weeks. To enroll, you will need a minimum of experience with key Machine Learning concepts, preferably through a project.

Here you can look at the basic curriculum, although each city has the possibility to extend it. Ask your city lead.

Level: intermediate

AI Saturdays program include

Social impact projects

With social impact projects and immersive content built in groups, you’ll master the A.I. skills you need.

Technical mentor support

Our mentors will guide your learning and are focused on answering your questions, motivating you and keeping you on track.

A learning experience done right

Access to recorded classes, forums, exercises and more resources. Also, get $1000 in cloud resources on AWS for your project.

Certificate of completion

Get your certificate of completion after the successful completion of your project.

+3,000

Happy AI Fellows

have benefited from learning Artificial Intelligence as part of the AI Saturdays movement, creating an awesome community of AI enthusiasts and practitioners.

+150

AI Projects Delivered

Our participants have built high-impact AI prototypes and proof of concepts (POC) during AI Saturdays, many for non-profit organizations and several on their way of becoming Start-ups.

+100

Machine Learning Exercises

To deliver on our commitment of making you AI fluent, we employ the best learning tools. We know that the learning experience is as good as the community that you are part of plus the lessons you follow.

Meet our fellows

Our participants come from all walks of life. We are developers, researchers, entrepreneurs, product managers, students… Diversity is the bedrock on our mission.