
Hello,
Guadalajara.
Learn artificial intelligence, meet your local community and build projects with social impact in Guadalajara.
Connect with the team
Learn by doing
Bring your curiosity and develop your skills through practical work, shared questions and community learning.
Build for social good
Explore how AI can address real challenges. Turn what you learn into a project with a purpose.
Grow together
Connect with learners and mentors from different backgrounds. Share ideas and support each other along the way.
Your learning starts wherever you are.
Explore our online learning paths while you connect with your local community.
Explore the coursesLocal community archive and resources
From the Saturdays.AI community archive. Details of past editions are retained for reference; the local team can confirm the current programme.
Saturdays.AI - Guadalajara
Fifth edition: archived announcement
Date announced on the original page: 26 November, 10:00 a.m. (GMT-6). The year is not specified.
Community archive Saturdays.AI
Meet the AI community in Guadalajara
AI Saturdays Guadalajara is part of a community movement, global and non-profit. We work to make rigorous AI education accessible to more people through projects with social impact.
Hands-on learning from day one, with teamwork and applied projects.

Our
Winning Team

Explore the winning team’s work and the projects from this edition.






































































Highlights from our Demo Day
from the 4th edition
Our Projects
Select a project image to read the team’s article on Medium.
SysvIA
Urbalud
Smart Security
VAK.AI
InfrAccionesGDL
Guest speaker
Presentation
Bio-inspired machine learning
Optimising machine learning models draws on linear algebra and multivariable calculus. When an analytical solution is difficult to obtain, numerical, stochastic or metaheuristic methods can be used. Some take inspiration from living organisms and natural selection: these are bio-inspired optimisation approaches.
Learn more about Dr. Aviña
- Research Professor (TecMM UA Zapopan)
- Areas of interest:
- Artificial intelligence
- Quantum machine learning
- Bio-inspired machine learning
- Project described in the original edition: “Design and construction of an abstract quantum computer to optimise machine learning models”.
- Contributions: first- and second-order iterative quantum optimisation algorithms, such as quantum gradient descent and the quantum Newton method.
Our Judges
Highlights from the launch and the Code2Learn and Build2Learn stages
In Guadalajara Connectory a place to collaborate and co-create.
















































































Our Team
We care about AI and people. We believe that learning together and applying technology with a purpose can help improve the world around us.
Registration process for the original edition
1
Fill out the registration form
2
3
Take the evaluation exam
4
Attend an interview with your assigned mentor
About the exam
Set aside about an hour to complete the assessment in one sitting.
What is the experience like?
AI Saturdays Guadalajara 4th Edition
This edition’s study groups met on Saturdays from 9:30 a.m. to 1:30 p.m. to learn AI through projects.
Learn about the program in detail

Our Team
We care about AI and people. We believe that learning together and applying technology with a purpose can help improve the world around us.

Angelina Alarcón
Community lead and mentor
A computer engineer with master’s degrees in Business Administration and in Data Science and Big Data. At the time of this edition, she was pursuing a doctorate in Information Technology at the University of Guadalajara and had more than 30 years of professional IT experience, including machine learning projects in the public sector. As a lecturer at ITESM, she shared her experience with Data Science and Mathematics Engineering students. She also worked with the Office of Continuing Education as a portfolio coordinator, leading a generative AI project. Her biography records her involvement in DAMA México and her role as co-founder and board member of Women in Data Science, Power and Engineering AC, a community promoting women’s participation in STEM.

Daniel Hernández
Mentor

Nayelhi de Anda
Mentor
She holds a degree in Marketing and a master’s in Big Data and Data Science. At the time of this edition, she was a senior consultant in EY GDS’s Artificial Intelligence and Machine Learning division, with more than eight years of experience implementing business intelligence and predictive analytics solutions for companies in Mexico, Canada and the United States. She enjoys sharing knowledge and supporting people starting out in technology.

Luis Ernesto Román
Mentor
He holds a degree in Gastronomy from the Escuela Culinaria Internacional. At the time of this edition, he was studying for a master’s in Data Science and Big Data and a Computer Systems Engineering degree at the Tecnológico Nacional de México. Passionate about programming, especially Python and Go, he had two years of experience developing technology solutions in government innovation. His interests include data science projects for public administration and the social sciences.

Ana Sofía López
Mentor
Her biography for this edition describes her as a marketing operations strategist at [A], specialising in project management, social media, email marketing and web analytics. She combines creativity with data analysis to support organisational decisions and goals.

Jabin George
Mentor
As an agile transformation leader and enterprise IT architect, I have led projects for Fortune 500 companies in different countries. At the time of this edition, I had more than 12 years of experience. My work combines agile transformation with the design of technology solutions. I have led teams across diverse cultural settings in Asia, the European Union, the United States and the United Kingdom, connecting technology with business strategy.
Curriculum
The first stage of Saturdays.AI’s intensive programme covers five Code2Learn modules

Data cleaning, exploration and visualisation

Basic ML models (Supervised & Unsupervised Learning)

Model validation

Neural networks and gradient descent

Natural language processing
Optional classes

Interpreting ML models with SHAP

Time series analysis

Evaluation metrics: classification and regression
After this track, you will apply its foundations to a project during «build2learn».
The project will explore an application with social impact using machine learning and will be presented at the end of the programme at "Demo day"
What our Fellows say
Our local partners
Our local and global partners help us expand opportunities to learn AI.




Contact Guadalajara City Lead
Tell us what interests you and how you would like to take part. We would love to hear from you.






