La Paz

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Saturdays.AI

La Paz

Learn Artificial Intelligence with us!

When: August

where:Online

Programa: Deep Learning 2nd edition

Waiting list for the second edition

Course structure:

Code2Learn

During the first half of the program you will learn the fundamentals of Machine Learning with practical programming exercises. In addition, our AI-specialized mentors will share their experiences and success stories.

Build2Learn

In the second half of the program you will be ready to create your own AI models applied to solving specific problems and our mentors will support you throughout their construction.

Demo Day

At the end, the projects that were carried out during the program will be presented. A DemoDay to share your achievements!

Agenda:

Fundamentals of

Deep Learning

We will explore neural networks from mathematical foundations, we will build a neural network understanding its operation with pure Python and also with PyTorch and TensorFlow. We will also cover concepts such as optimization and regularization.

Convolutional

Neural Networks

To apply Deep Learning in images is we will start with the theory of the Convertive Neural Networks (CNN), review the classic architectures and apply Transfer Learning.

Recurring

Neural Networks

We will begin the path in Natural Language Processing (NLP) by understanding the theory of Recurrent Neural Networks (RNN). We will see RNNs with Computers and Memory Cells.

computer

Vision

We will continue our path in images, apply filters, edge detection, objects and learn the You Only Look Once (YOLO) algorithm.

Advanced

Topics

We will delve into the state of the art with Sequence to Sequence Methods, review Attention and Transformers.

Deep Unsupervised

Learning

We will continue with the state of the art exploring the theory of GANs and their architectures from latent spaces.

Cloud for

Deep Learning

We will learn from the fundamentals of Cloud to deploying Deep Learning models using Amazon Web Services.

Ethics for

Artificial Intelligence

Artificial intelligence has an impact on the development of humanity. This raises questions about what we should do with these systems. In this module we will see about ethics in Artificial Intelligence.

Project

Artificial Intelligence

In this module we will teach topics about project development. Students will develop a project applying what they learned in the program to present it at the Demo Day.

Demo Day

At the end, the projects that were carried out during the program will be presented during the program. A Demo Day to share your achievements!

Equipment:

Fernando Silva 🇧🇴

Lead Saturdays AI La Paz

Fernando is a 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 an ambassador for deeplearning.ai by Andrew Ng with his Pie & AI program.

Adriana Romero Soriano 🇪🇸

Research Scientist + Adjunct Professor

Adriana Romero Soriano is a research scientist at Facebook AI Research and an adjunct professor at McGill University. Her research focuses on developing models and algorithms that are able to learn from multi-modal and real world data, understand and reason about conceptual relations, and recognize their uncertainties, while addressing impactful problems. She completed her postdoctoral studies at Mila, where she was advised by Prof. Yoshua Bengio. Her postdoctoral research revolved around deep learning techniques to tackle biomedical challenges, such as the ones posed by multi-modal data, high dimensional data and graph structured data. She received her Ph.D. from University of Barcelona with a thesis on assisting the training of deep neural networks with applications to computer vision, advised by Dr. Carlo Gatta. Adriana serves as program committee for conferences such as ICLR, NeurIPS, ICML, and CVPR. She co-organized WiCV at CVPR 2018, RLGM at ICLR 2019, SEDL at NeurIPS 2019, the Montreal AI Symposium 2019, and SEDL at ICLR 2021.

Rodrigo Beceiro 🇺🇾

Machine Learning, Deep Learning, Data Science

Rodrigo is a founder and CTO of Marvik, a company dedicated to the development of software using machine learning working for customers such as P & G, Stanford University and PedidosYa. They specialize in the fields of computer vision, natural language processing and predictive analytics. He has a Master in Technology Business Management at the University ORT Uruguay, is a telecommunications engineer, Scrum Master and has a Nanodegree from Udacity in IA. deeplearning.ai in Montevideo and part of the AWS Activate, Google For Startups and NVIDIA Inception startup programs.

Evelin Fonseca Cruz 🇨🇺

Machine Learning Engineer

Machine Learning Engineer with more than 15 years of experience in the Software Industry. She started her career as a teacher in University of Havana. She has also worked as Senior Software Developer and AI Developer. Now, she is pursuing her second Master Degree in Machine Learning at MILA.

Henry Ruiz 🇨🇴

Ph.D. Student at Texas A&M University

Google Developer Expert (GDE) in Machine Learning, Computer Science Engineer and Master in Artificial Intelligence from the Autonomous University of Baja California. Currently working as a research associate and pursuing his doctorate at Texas A&M University. Software developer with more than 10 years of experience and passionate about open-source projects. In the last 3 years his research has focused on solving problems in the field of agriculture using Machine Learning and Deep Learning. His postgraduate research has focused on the use of geophysics tools (Ground Penetrating Radar), mathematical simulation, electromagnetism, signal processing and Machine Learning.

Mercè Vintró Ricart 🇪🇸

NLP Data Scientist

Mercè is a Senior Computational Linguist in the Data Science R&D team at Shell. She graduated in Translation and Interpreting from the Pompeu Fabra University (Barcelona) and has a master's degree in Speech and Language Processing from the University of Edinburgh. Before joining Shell, Mercè worked in the London startup community as an R&D engineer specializing in Natural Language Processing (NLP), focusing on solving real-life problems related to human language. Since joining Shell in 2018 Mercè has led the development of NLP capabilities in Shell's Digital Center of Excellence. He has also contributed to several projects centered around Machine Learning and Deep Learning for NLP. In his free time he enjoys traveling, horseback riding and playing the piano.

Danna Calle

Fernandez 🇧🇴

Agile Methodologies, UX/VR

Active volunteer lifestyle for more than 7 years in differents non profit organizations. She has been selected as 1 to 140 social entrepreneurs people around the word for participate of the program Global Entrepreneur summer school in Mexico, and the next year she got an scholarship for participate in the High Impact entrepreneurship Program in New York. She won in both programs the first place with two social tech projects for farmers and child with TDH. Actually she is founder and co founder of aurorasoft, qhali, iris360grados and human design group. Graduated of Commercial Engineering, Minor of brand creation at Catholic University and studying a digital business master. She likes to share her experiences and knowledge giving talks about topics of agile, tech, management,social entrepreneurship and gender. She is proactive and worry to solve problems of her community as she demonstrated participated in many contexts of startup weekends, hackathons, and won five times the first place on them. she believes the key is work with a multidisciplinary teams and see in perspective, for truly understand with empathy the segment of people as a human first.

Felipe San Martin

Vasquez 🇨🇱

Computer Vision Engineer

Felipe is a Civil Electrical Engineer and has a Master in Electrical Engineering from the University of Chile. He worked for more than 4 years on R&D projects on Computer Vision (CV) issues, developing solutions for the industry from academia. Additionally, he has been part of the teaching team for the Duckietown Engineering Chile mobile robotics course at the University of Chile, focusing especially on the area of CV and Machine Learning. Felipe is currently president of Corporación Cuac, a non-profit organization that seeks to teach and carry out scientific dissemination on topics of Robotics, Artificial Intelligence and Data Science, in order to democratize said knowledge. He currently works as a Computer Vision Engineer for TOC Biometrics.

Sofia Trejo 🇲🇽

Ethics of Artificial Intelligence, Theoretical Mathematics, Dynamic Systems

Sofia was born and raised in Mexico City. She studied Mathematics at the National Autonomous University of Mexico (UNAM) and has a PhD in Mathematics from the University of Warwick (United Kingdom). She has worked as a researcher at the University of São Paulo (Brazil) and at Imperial College London (United Kingdom). Currently, he develops projects related to the Ethics of Artificial Intelligence (AI). She was the research leader of the Ethics Group of the National Artificial Intelligence Agenda for Mexico; worked with the Artificial Intelligence Alliance of the National Council of Science and Technology (Conacyt) of Mexico; and is part of the 'Learning Community' project of the Institute of Ethics of Artificial Intelligence of Montreal (Canada). He has organized and taught specialized seminars on AI Ethics at the main universities in Mexico and has collaborated in the preparation of international reports on AI. She is interested in studying the intersections between AI, human rights and gender and promoting public understanding of the technology.

Sign up right now!

Seats full!

Registration from April 27 to May 25

Course duration: May 27 – July 3

Tuesday, Thursday and Saturday

Modality: Online

Schedule: Tuesday (21:00 – 22:00), Thursday (19:00 – 22:00), Saturday (09:00 – 12:00) UTC – 4 (Bolivian time)

Includes internationally endorsed certificate with hourly charge!

120 USD / Bs. 840

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AI Saturdays La Paz Deep Learning

Download our brochure for more detailed information about our Deep Learning program.

Learn about the program in detail

Frequently asked questions and answers

Does the program include a certificate?

Yes! At the end of the classes, the students who carry out the project on the Demo Day will receive an internationally endorsed certificate with a charge of hours.