Thursday, September 5
- 5:30 PM - 6:00 PM - Setup / Networking (light food provided)
- 6:00 PM - 8:30 PM - AI Session Content
Part 1 - Creating applications that can see, hear, speak or understand - using Microsoft Cognitive Services (1 hour)
In this workshop you will be introduced to the Microsoft Azure Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that are accessed by REST protocol. Next we will dive into Custom AI that uses transfer learning - Microsoft Azure Custom Vision. This enables you to provide a small amount of your own data to train an image classification model. Wrapping the workshop up by building our custom trained AI into an application - using Logic Apps, this technology is ideal for building data pipeline processes that work with your machine learning models.
Part 2 - Crash course on building and accelerating deep learning solutions (1 hour)
Learn the end to end process of building deep learning solutions from experimentation to deployment. We will start by experimenting locally with different model architectures and hyperparameters using PyTorch. Then, we’ll show you how to use Azure Machine Learning service to train models at massive scale in the cloud and seamlessly deploy them into production.