AI Saturdays | Saturdays.AI

From curiosity to a project you can share

AI Saturdays is our community learning programme. You practise AI with other learners, get support from mentors and build a team project with social impact in mind. Demo Day is a chance to share what you have created and learned.

We have supported more than 30,000 AI fellows. Editions typically run over 12 to 15 Saturdays; each community confirms its dates, format and prerequisites.

Ask about the next edition | Explore online courses

Archive of previous editions

The outline below preserves the structure of previous editions: 12 to 15 sessions of around five hours, held on Saturdays. Ask your local team which elements are included in its next edition.

1. Code 2 Learn

The first half of the programme focuses on the foundations of machine learning or deep learning. We learn through coding exercises in GPU-enabled environments, supported by facilitators and mentors.

The approach starts with practice to help explain the theory. You need some Python knowledge and familiarity with basic data science libraries. The challenges encourage you to experiment, reason through problems and share what you learn.

2. Build 2 Learn

In the second half, we develop a complete prototype using what we have learned. Each team chooses data and models to address a real problem with potential for social impact. We bring different backgrounds together so we can learn from one another.

Discover community projects

3. Demo Day

Each team finishes by presenting its work to the community. The process includes publishing an article about the project and sharing its open-source code on GitHub, while respecting data usage conditions and third-party rights.

Learning paths

Your choice of machine learning or deep learning depends on your knowledge and interests. You work with other learners and mentors through coding exercises.

Machine learning: beginner level

The foundations phase lasts at least six weeks and may be extended depending on the edition. Its goal is to help you apply machine learning techniques in practical exercises; it does not aim to cover the entire discipline.

Deep learning: intermediate level

This path also devotes at least six weeks to the foundations. It requires previous experience with key machine learning concepts, preferably through a project. The local team can extend the curriculum and confirm the prerequisites.

What the experience includes

Projects with a purpose

You develop practical skills by building a group project and exploring how AI could help address a social problem.

Mentor support

Mentors bring different experiences, answer questions and help you move forward. Learning in a community means being able to ask for help and share what you discover.

Resources to keep learning

The archived editions included recorded classes, forums, exercises and activities on Eduflow, with assessments and peer feedback. Check which resources and platform are used by the edition you are interested in.

Certificate of completion

The programme offers a Saturdays.AI certificate after you complete the exercises, develop a team project and present it at Demo Day. You can include it on your CV or LinkedIn profile; confirm your edition’s criteria with the team.

A community that keeps growing

The original archive recorded more than 4,000 fellows, over 300 projects and more than 100 machine learning exercises. Those figures describe that earlier stage; today, we have supported more than 30,000 AI fellows.

Projects included prototypes and proofs of concept for non-profit organisations, as well as initiatives exploring a future as businesses. Learning, experimenting and sharing remain at the heart of the experience.

Meet our community

Participants come from diverse backgrounds, including software development, research, entrepreneurship, product management and studies across different disciplines.

Read their stories