Building AI Applications on Google Cloud Platform

Machine learning is rapidly evolving with tools like AutoML, which automate many of the tedious parts of machine learning and allow developers focus on delivering results to production. Noah Gift shows how to harness this technology and successfully deploy it on Google Cloud Platform. This demonstrates to developers how to use the current best practices as well as automated tools to create real-world analytics applications.

This course is for developers who want to improve their Data Science skills and build AutoML apps in the Cloud. They will learn how to use AutoML Big Query, Python and Google App Engine to create advanced AI.

Cloud AutoML is a set of machine learning products that allows developers with limited machine-learning expertise to create high-quality models tailored to their business needs. It uses Google's state of the art neural architecture search technology and transfer learning. Cloud AutoML's graphical user-interface allows developers to build, evaluate, improve, deploy, and maintain models based upon their data.

This LiveLesson will cover programming components that are essential for the development of AI/Analytics applications. The course focuses on real-world software engineering applications built on the Google Cloud Platform. The process is demonstrated using several emerging technologies, including AutoML or Google BigQuery. The course uses Python as the language of instruction, since Python is rapidly becoming the standard language for AI application development in cloud environments.

Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509.