MLOps With A JavaScript and Flask Image Classification App

Wednesday, September 14, 9:00 AM -

We'll start by exploring image classification and creating a model we can use to classify images users upload. We'll compare a few different image classification methods, run some experiments, and look at the metrics they give us. This will all happen within a DVC pipeline, which allows us to start using MLOps best practices to get our model to production. After we have a good model ready for our users, we'll deploy it to production through a Flask API and we'll create the user interface with React using all the best practices and styles that would make it production worthy. By the time you leave this workshop, you'll know how to train a machine learning model on different datasets, some basics of MLOps, and how to set up a full-stack application that uses this model.

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  Milecia McGregor

  Developer Advocate, Iterative.ai

A FAST SITE: A Web Performance Workshop.

Wednesday, September 14, 9:00 AM -

This workshop will help learn about front end performance, think like a web performance friendly technologist which will ultimately allow you to deploy fast sites.  A FAST SITE is a web performance workshop which will cover the basics, sharing content that will be both technical in nature, and less technical for more worldly views. As such, you need not deep knowledge, or any for that matter on web performance, simply familiarity with the web. So if you’re a developer sharpening your front end skills, this is for you. If you’re a UIUX designer, write some code to, and want to see how decisions you make can have performance impact, this is for you. But even as a PM or a product marketing team member who has been tasked to oversee web vitals, and want to deep understanding, this is also for you.

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  Henri Helvetica

  Head of Developer Community, WebPageTest

Hidden Gems in Visual Studio Code

Wednesday, September 14, 9:00 AM -

The workshop will endeavor to have participants become very comfortable with a host of features often over looked in VS Code to optimize their productivity.

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  Reynald Adolphe

  Senior Cloud Advocate, Microsoft