Audience

For people who need help deploying their machine learning models, specifically:

Technical founders of AI companies

Data scientists

AI researchers

ML engineers

AI/ML enthusiasts

Programming background in Python is highly recommended to get the most value out of this session. Ideally participants are either building or have already built ML/DL models.

TLDR: This is for anyone who knows how to build a machine learning model but needs help deploying it on production and building a demo interface to show their users or customers.

We will cover

Deployment with AWS Sagemaker, Tensorflow serving, and Flask

UI components with MERN stack

Demos with Tensorflow and Pytorch

Note: We'll cover this at a high level. It's meant to provide an overview rather than an in-depth training on AWS, devops, or building models.

What to expect

A high level overview of the process of productionalizing and demoing your machine learning model

A demo of this process

Date: April 5, 2019

Time: 4-6pm

Place: 100 College Street, Second Floor Room 250

Bring your own cookie.

If you are interested, but can't make this session, please fill up this form and we'll notify you next time we host this. We are also considering a future webinar for this session if there's enough interest: https://forms.gle/JEWFgKZayDNsCJ1k8