LATAM Online
This page includes programme information from our community archive. Contact the team to confirm current dates, availability and requirements.
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A community connecting Latin America
AI Saturdays Online brings hands-on AI learning to people across Latin America. We learn with others, share challenges and build a project as a team.
This page brings together previous editions. Confirm the schedule, prerequisites and dates of any new edition with the organising team.
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Archive of previous editions
Latam Edition
AI Saturdays Online
February 12, 9:30 hrs GMT-6
LIVE Saturdays.AI
Meet our graduate students from the machine learning and deep learning courses of the 2nd Edition of Latam.
Connect with us and learn about 7 projects of social impact with applied artificial intelligence that our aifellows of this edition they implemented as a team.
Learn what each project consists of and who makes up the development team.
click on the project of interest
We invite you to learn more about the projects implemented, read his article!
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Angiop.AI
1
AwarenessAI
Ecological
2
City
CleanAI
3
guardAIn
3
totem AI
4
CyclopsAI
5
VAISafe
1
Angiop.AI
1
AwarenessAI
Ecological
2
City
CleanAI
3
guardAIn
3
totem AI
4
CyclopsAI
5
VAISafe
We invite you to watch the video of our 2nd DEMODAY. Edition, you can tune in to the great talk of Smart Cities and opportunities with AI for better places to live, meet our judges and the teams' pitches!
Agenda
Our Speakers
Victor Larios (MX)
Speaker
Smart Cities and opportunities with AI for better places to live
Smart Cities have become a multidisciplinary field where technology helps improve the quality of life in cities. Cities have become very complex in services and processes that require support. On the other hand, technology has become an enabler that helps manage and improve these city services. The infrastructure in Smart Cities allows managing cycles of data generation and extraction, creation of open data based on collected historical records, and generating data analytics to help everyone who comes to a city make better decisions about how to improve their lives. Likewise, Artificial Intelligence can help optimize and democratize access to city services, if it is well applied. In this talk, we will provide an overview of the problems, challenges and opportunities that we can encounter when implementing AI projects in Smart Cities.
Our Judges
Margarita Sordo (MX)
Judge
Margarita has a PhD in Computer Science and Artificial Intelligence from the University of Sussex, United Kingdom with a master's degree in Artificial Intelligence from the University of Edinburgh. His research interests include the application of knowledge elicitation and representation techniques in biomedicine and healthcare; biomedical ontologies; artificial intelligence and machine learning techniques for knowledge discovery and clinical decision support.
Current work focuses on the application of complex adaptive systems to model patient characteristics and preferences to assess the impact of health determinants and public health policies on individual health.
Carlos Astengo (MX)
Judge
Carlos Astengo has a Doctor in Artificial Intelligence from the ITESM Monterrey campus with a master's degree in Applied Mathematics from the University Center of Exact Sciences and Engineering of the University of Guadalajara where he studied Mathematics at the Faculty of Physical-Mathematical Sciences.
Within Tecnológico de Monterrey he has held various positions. He has specialized studies in Telecommunications from the ITESM Campus Guadalajara. He collaborated at the Center for Numerical Analysis at UT Austin. He trained in POL techniques at the universities of Twente, Netherlands and Aalborg, Denmark; in PBL at Wheeling University, in the Case Method at Harvard, and in Collaborative Learning at UT-Austin. He is certified as an Accredited Facilitator of POL and PBL. National Director of the Centers for Teaching Development and Educational Innovation (CEDDIEs). Director of Professional Innovation (Undergraduate Studies Chief Innovation Officer).
Victor Larios (MX)
Judge
Doctor Victor M. Larios is an Electronics Engineer from the Technological Institute of Higher Studies of the West, graduating in 1996. Later in 1997 he obtained his Master's degree and in 2001 his Doctorate in Computer Science from the Compiègne University of Technology in France. Currently, he is a tenured research professor at the University of Guadalajara (UDG) and since April 2014, Director of the Center for Innovation in Smart Cities at CUCEA UDG.
Dr. Larios has published more than 70 revered international articles in journals, conferences and published a book on serious games. As an ongoing activity, Dr. Larios collaborates on projects with the high-tech industry and the government for the innovation of Smart Cities.
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March 2022 launch event
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Our Speakers
Sofia Trejo (MX)
Speaker
Researcher and professor specialized in Ethics of Artificial Intelligence (AI). Interested in studying the intersections between AI and human rights and in promoting critical understanding of technology. She has a degree in Mathematics from UNAM and a PhD in Mathematics from the University of Warwick. She has worked as a researcher at the University of São Paulo and at Imperial College London.
Currently, she is a professor in the Master of Data Science at the Autonomous Technological Institute of Mexico and a member of the Advisory Council of the Federal Institute of Telecommunications (Mexico).
Dina Medina (MX)
Speaker
Systems Engineer, Autonomous University of Nuevo León. PM, CMMi, TSP/PSP, ITIL, Agile, Scrum, Design Thinking.
More than 25 years of experience in areas of Systems Design and Development, Project Office, implementation of methodologies and Process reengineering.
Leadership and participation in initiatives to implement CMMi, TSP/PSP, ITIL, Agile and Scrum. Enthusiast of innovation and creative thinking disciplines such as Design Thinking, Human Centered Design and Creative Problem Solving.
He is currently Senior Manager in the Strategic Planning Office at Infrastructure & IT Operations, BBVA Holding and Mentor for young university students. #LifeLongLearner
Our Team
Our team is made up of people passionate about AI and human progress. We firmly believe that combining community with technology is the best way to catalyze the change that will allow us to make the world a better place.
Angelina Alarcón (MX)
Community lead and mentor
Computer Engineer with a Master's degree in Business Administration and another in Data Science and Big Data. Currently a PhD student in Information Technology at the University of Guadalajara. He has more than 25 years of professional experience in IT and in recent years has implemented Machine Learning projects in the Public Sector. She is a member of the Association on Data and Information Management, in DAMA México and Co-Founder of Women in Data Science, Power and Engineering AC in addition to being Regional Manager in Latam for this community.
Christian Tutivén (EC)
Mentor
PhD in Automation, Robotics and Vision from the Polytechnic University of Catalonia (UPC). Master in Business Administration from the Santa María University of Chile. Master's Degree in Telecommunications from the Universidad Católica Santiago de Guayaquil. Telecommunications Engineering from the Universidad Católica Santiago de Guayaquil. Member of the CoDAlab (Control, Modeling, Identification and Applications) research group at the Polytechnic University of Catalonia.
Professor and researcher at Escuela Superior Politécnica del Litoral (ESPOL), Univ. De Nariño and Ecuadorian Statistical Society. Founder of Steam Center (Data-Driven Projects).
Nayelhi de Anda (MX)
Mentor
Graduate in Marketing from the University of Guadalajara and Master in Data Science and Mass Data Processing (Big Data). Co-Founder of the company Vitruvio, a Digital Marketing and Artificial Intelligence agency. He has more than 6 years of experience implementing Data Science, Digital Marketing and Business Intelligence projects in large and medium-sized companies in different industries.
Eduardo Ramírez (MX)
Mentor
Entrepreneur and data scientist founded and directs the Monterrey Data Science Meetup. He writes and speaks about data and analytics and, as a researcher or consultant, has been involved in forecasting, machine learning and optimization since the mid-2000s working for startups and large corporations such as Microsoft and Yahoo. He is co-founder of Ensitech, a software company that now has more than 50 employees where he is director of Artificial Intelligence. He currently participates in social projects such as AirHubNL, an independent air quality monitoring network for the Monterrey area and is a leader in the City of Monterrey for this community.
Francisco Mena (CL)
Mentor
As a Data Scientist, Francisco has worked with machine learning models to assist in diagnoses in medicine, and designing business intelligence models. As an Environmental Engineer he has conducted research on air quality, emissions of pollutants and aerosols, atmospheric processes, as well as various environmental engineering and sustainability problems.
Cecilia Hurtado (MX)
Mentor
Industrial Engineer and Master in Economics from the University of Guadalajara. She has worked as a manager and coordinator of software development projects, as well as data collection and processing for benefit analysis of various social programs and government initiatives in state and federal public entities. She has participated as a mentor, judge and promoter of various challenges and hackathons with a social focus, promoting diversity and participation of young people and girls to bridge the gender gap in technology.
Alexander Saravia (EC)
Mentor
Electronics, Automation and Control Engineer; Master in Computational Intelligence from the Federal University of Rio de Janeiro; City Lead & Internet of Things Coordinator in the Saturdays AI Quito community (ai6uio.org); He is currently working as a consultant in Internet of Things and Artificial Intelligence research for different universities in Ecuador, and is also Co-Founder of SunPlena Tech where he develops Artificial Intelligence plus Internet of Things intelligence solutions.
Rosa Sunum (GT)
Mentor
Daniel Hernandez (MX)
Mentor
Nanotechnology engineer with experience in simulation of quantum physics models, data analysis and visualization in Python. He has great interest in Artificial Intelligence and Machine Learning. He participated in research projects focused on quantum computing and optimization methods.
Rodrigo Herrera (CR)
Mentor
Co-Founder and Chief Technology Officer (CTO) of Ainnovatech. Systems Engineer, Master in Big Data & Business Intelligence at NEXTIBS University and LLeida University in Madrid. Certificate in Broadcom Networks in Minnesota, United States and Linux Server Manager at the National University of Costa Rica, Data Scientist at UPS, United States. Leader country in global non- profit www.saturdays.ai Costa Rica, professor and director of the Artificial Intelligence Specialty at Lead University. He is a lover of physics, science and how to make technology more accessible to everyone.
Fernando Silva (BO)
Mentor
Systems Engineer with a postgraduate degree in Artificial Intelligence from the University of Chile, he has been in the area of Artificial Intelligence since 2019. He started as a Python and Machine Learning mentor under the coordination of the Cultural Center of Spain. He worked in banking as a Machine Learning Engineer, where he implemented models. Currently conducting research at the Catholic University of Bolivia in the area of Reinforcement Learning. He has participated and won in several contests, the most notable being first place in one of the categories of the Facebook F8 hackathon in Silicon Valley in 2019. At the same time, he has been a leader of communities with the aim of democratizing Artificial Intelligence, among these communities: GDG Android Bolivia, Data Science Bolivia, PyData La Paz, Kaggle Days La Paz. He currently has a Computer Vision startup and serves as Andrew Ng's deeplearning.ai ambassador with his Pie & AI program.
Gibran Félix (MX)
Mentor
Graduate in Computer Science from the UAS, Master in Computer Science from CINVESTAV, Guadalajara Campus. Since 2012 he has been involved in multiple data-related ventures. Currently, he works as Co-founder of Spreaad, an analytics company focused on understanding user conversion.
Ivan Fretes (PY)
Mentor
Senior Software Developer, with more than 10 years in the field. I have worked in various sectors (Universities, Real Estate, etc.). Extensive experience as a freelancer and external consultant.
I am a fan and enthusiast of startups, inbound marketing, software development, Data Science and other etcetera.
Ángel Encalada (EC)
Mentor
Mechatronics Engineer, graduated from ESPOL (Guayaquil). He currently works as a Software Engineer in an important company dedicated to the administration of ATMs in some Banks in Ecuador. On the other hand, he works as an External Researcher in the CoDAlab group at the UPC (Barcelona) developing Deep Learning models for the detection and prognosis of failures in wind turbines. Along the lines of Deep Learning, he also researches in an ESPOL Renewable Energy Laboratory on models for the identification and classification of damage in Fuel Cells. Since 2019, he has registered several scientific publications in international conferences and magazines. Finally, his interest in research has also led him to teach different workshops on Computational Modeling, Drone Flight Simulation, etc.
Naren Castellon (PA)
Mentor
Graduated in Mathematics with a Master's degree in calculation and actuarial technique and another in Finance, he has been a professor at the National Autonomous University of Nicaragua and the ADEN Campus Panama University. He has stood out as an instructor of various Machine Learning workshops at universities in Latin America (Panama, Ecuador, Peru, Bolivia, Honduras).
Our partners
Whether global or local, we appreciate the support of our partners to help us reach everyone the possibility of learning AI.
Coming soon 3rd. Edition
LATAM Edition
AI Saturdays Online
AI Saturdays now reaches all corners of Latin America. Learn with the richest community and the most practical program alongside other AI fellows for 4 intense months.
Cuándo: III Edition – Fall 2022
Dónde: online
Programa: Machine Learning y Deep Learning
Estimated duration
4 months
This means 4 hours on Saturdays in a group + 6 hours estimated during the week of study and practice.
Next edition
September, 2022
Start Saturday to be defined.
Join, learn and enjoy with us!
Prerequisites
Python & statistics and basic mathematics
We have prepared to help you before the course.
AI Saturdays LATAM Fall 2022 Edition
Our study groups take place on Saturdays from 9:30 a.m. to 1:30 p.m. so that we can all have the opportunity to learn.
The program consists of 2 weeks in which you will strengthen your basic AI skills (Python, Statistics and Basic Mathematics), 7 weeks of practical exercises and another 6 weeks of project creation and ends with DemoDay, all of them led by our mentors.
We will use tools such as Zoom, Mural or Miro for the dynamics. Every Saturday you will have several mentors and companions to help you.
Learn about the program in detail
*The course is in Spanish, but there are teaching resources in English.
Share (it) with your friends!
What do our students say?
Meet the students of the 1st edition
What is the experience like?
With the covid-19 crisis, at Saturdays.AI we learned to create the best possible online experience with networking, mentors and practical exercises. The video represents the experience of AI Saturdays Madrid.
You can see the Demoday of the I Edition
Meet the A.I. community in LATAM
AI Saturdays in Latam is a unique experience! We have presence in the following countries; Mexico (Guadalajara, Hermosillo, Monterrey, Mérida), Guatemala, Costa Rica, Ecuador (Quito, Guayaquil), Peru (Lima) Chile (Santiago), Panama, Paraguay (Asunción), Bolivia (La Paz and Cochabamba), and we continue to grow. It is currently one of the most expanded and active communities, the perfect place to start your path in the world of A.I. and learn by creating social impact projects.
The online experience is prepared as an intense challenge to learn, while you get to know other people for a little more than 3 months.
Contact LATAM City Lead
Feel free to tell us anything, we'd love to know more about you 😉
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