April 23, 2021 at 07:00 PM
March 12, 2021 at 07:00 PM
February 05, 2021 at 07:00 PM
In this talk we will discuss best practices in continuous integration and deployment techniques when committing code to GIT and deploying to AWS Lambda by using webhooks and AWS CodePipeline. Additionally, we will discuss how we can use this technique to adopt a developer hands off approach to code deployment, allowing the developers to write more code and features, and worry less about deploying.
January 22, 2021 at 07:00 PM
Making games for mobile and desktop is not as complicated as it once was. You don't need to be a great designer nor do you need to be a great programmer to create a truly amazing and enjoyable game.
With the availability of game development frameworks, you can build cross-platform games, in most circumstances for free. Some of the popular game development frameworks include:
- Unity with the C# programming language
- Unreal Engine with the C++ programming language
In this session we'll explore some of the basics behind creating games with the Unity game development framework and the C# programming language. We'll use free media assets from the Unity Asset Store when building a game.
December 11, 2020 at 07:00 PM
Learn how to utilize mutable data storage in React using refs! This talk will help you understand refs and their full potential: not just accessing HTML elements, but as mutable storage, dual-directional data binding, and much more!
November 13, 2020 at 06:00 PM
A progressive web app is a way to bring a native app experience into the browser, therefore the idea is to have a progressive enhancement of your app, but during our development process we have to keep in mind a few factors in order to make it. During this talk, we are going to discuss possible architectures of a PWA, how we can make sure to apply the right offline strategy (including cache) and which are the tools that can help us to deliver web apps that are fast and progressive (for real!).
October 02, 2020 at 07:00 PM
September 04, 2020 at 07:00 PM
What if you could take all the best practices from expert data scientists and roll it into an easy-to-use software package that any developer could use? What if it could automatically prepare your dataset, try different machine learning approaches, and combine their results to deliver high-quality predictions — and all of that with little to no code? This is the idea behind automated machine learning (AutoML). In this talk, I'll discuss some of the recent advances in AutoML and how you can use it to accelerate your data science projects. I'll also walk-through demos showing two AutoML solutions - AutoGluon, an open source AutoML library by AWS and Amazon SageMaker AutoPilot, a fully managed AutoML service on AWS.