Infrastructure for Machine Learning Applications in Go Workshop

Presented by Natalie Pistunovich

Description

At the heart of Machine Learning is the model’s code, but it only accounts for a fraction of the overall code of a production system and the rest is the infrastructure needed to power and utilize it. In this workshop, we will focus on the infrastructure of a Machine Learning application written in Go and integrate the systems needed to deploy a ML model at scale.

What a student is expected to learn

How to robustly build a Machine Learning system and how to build a service that interfaces with a fast secondary data source to enhance the model’s predictions. We will look at infrastructure, model serving/deployment and data enrichment separately and create a working stack together.

Prerequisites

You will need to have some familiarity with Go. Some familiarity with Machine Learning can be helpful but is not required, as we will cover the basic concepts of what is a Machine Learning model, what is training, what is inference, etc.

Buy Tickets - $199
Agenda (4 hours)
Wednesday, May 20, 2020
  • 9:00 AM EST
    Introduction and setup
  • 9:10 AM EST
    Start Workshop
  • 10:45 AM EST
    30 Minute Break
  • 11:15 AM EST
    Workshop
  • 1:00 PM EST
    End Workshop
Presenter's Bio

Natalie Pistunovich is a learner, a Google Developer Expert for Go, a public speaker and a sailor. When she’s not working on robust systems with Aerospike, she is organizing the GopherCon Europe and Cloud Nein conferences, and the Berlin chapters of the Go and Women Techmakers user groups. Prior to that, she was an Engineering Manager, Software and Hardware Engineer, and a Co-Founder of a mobile start-up. In her free time, she is wondering if there is life on Mars.

Buy Now! $49

Includes admission for all talks, real time discussions, and early access to all recorded videos. View the agenda.

Buy Now! $199

At the heart of Machine Learning is the model’s code, but it only accounts for a fraction of the overall code of a production system and the rest is the infrastructure needed to power and utilize it. In this workshop, we will focus on the infrastructure of a Machine Learning application written in Go and integrate the systems needed to deploy a ML model at scale.

Buy Now! $199

At the 'edges' of your program (e.g. when interacting with other services) you will use serialization to send and receive data. Working efficiently with serialization will make your interfaces more flexible, will save you money on CPU & bandwidth and free you to focus on writing business value code.

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Whether you are just getting started in Go or have been writing Go code for a couple years, this class will make sure you have what you need to write simple, quick, robust tests. We will start with the basics and introduce table driven tests. Then we'll work through advanced concepts such as testing asynchronous code as well as mocking and injecting code. We’ll finish up with example tests and code coverage. We believe in a hands-on approach to learning, so be ready to write a lot of tests!

Buy Now! $199

This course is tailored to developers learning Go for the first time or having less than one year of Go development experience. This workshop will cover practical, daily Go fundamentals. Starting with the language fundamentals, students will move into interfaces and how they lend to embedding and composition in Go. We will finish up with an overview of concurrency in Go.

Buy Now! $199

This course was designed to take experienced Go developers and walk them through how to use all the Go tooling to make your code perform better. We will start with a complete look at benchmarking from start to finish. Then a walk-through of the profiling tools will be presented. Students will finish up by learning about common optimizations in Go. After learning about these optimizations, you will be able to apply this knowledge to your own code to identify performance issues.