What we're about

Hi Everybody! This is the Princeton School of AI!

If you are interested in learning about Artificial Intelligence, here is the place for you. We will host events where it will be discussed the theory and practice of AI. Hands-on workshops will be constant. All levels of knowledge are welcome. If you don't know AI yet, we will find a place for you.

Our mission is to offer a world-class AI education to anyone on Earth for free. Our doors are open to all those who wish to learn. We are a learning community that spans almost every country dedicated to teaching our students how to make a positive impact in the world using AI technology, whether that's through employment or entrepreneurship.

Upcoming events (5+)

Fundamental of AI

Princeton Public Library

AI Algorithms: Neural Networks Session 1 In this two month series, we will go through each step of the implementation of a deep learning algorithm. We will see each detail of a forward neural net, the CNN and the LSTM. Requirements: Basic Linear Algebra, Basic Python (or good programming level in another language), and Calculus. In this first session, we will create a simple feed forward network with one hidden layer and one kind of activation function. Please attend all classes within the series and consider bringing a laptop. The series continues Wednesdays, May 8, 15, 22, 29; and June 5, 12, 19, 26.

Reunions Project!

Princeton Public Library

Time for us to get together and go through the advances. For those who don't know about this project, We are building a project that might lead to a startup based on the computer vision classes. It targets those who included their name at the spreadsheet: https://docs.google.com/spreadsheets/d/1ywVq3JlhRwgtDg60MdMhN84jnmqiCOVh5m10ObeEdTk/edit#gid=[masked] Every business series will finish with some project like this.

Fundamental of AI

Princeton Public Library

AI Algorithms: Neural Networks Session 1 In this two month series, we will go through each step of the implementation of a deep learning algorithm. We will see each detail of a forward neural net, the CNN and the LSTM. Requirements: Basic Linear Algebra, Basic Python (or good programming level in another language), and Calculus. In this first session, we will create a simple feed forward network with one hidden layer and one kind of activation function. Please attend all classes within the series and consider bringing a laptop. The series continues Wednesdays, May 8, 15, 22, 29; and June 5, 12, 19, 26.

Reunions Project!

Princeton Public Library

Time for us to get together and go through the advances. For those who don't know about this project, We are building a project that might lead to a startup based on the computer vision classes. It targets those who included their name at the spreadsheet: https://docs.google.com/spreadsheets/d/1ywVq3JlhRwgtDg60MdMhN84jnmqiCOVh5m10ObeEdTk/edit#gid=[masked] Every business series will finish with some project like this.

Past events (20)

Reunions Project!

Princeton Public Library