Google Developer Essentials
Introductory 5 Steps 4 hours 24 Credits
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics and gain insights from data, and develop with pre-trained ML APIs to leverage machine learning event if you are not a Machine Learning expert.You will also experience seamless integration between various Google services and APIs to create intelligent apps.
PrerequisitesRecommended that students without prior Google Cloud Platform Experience take the GCP Essentials Quest as a prerequisite.
In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.
In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
In this lab you will build an Assistant application that takes in a user's location and preferences and passes them to the Places API via a Cloud Function to generate the ideal spot to eat.
This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Stackdriver metric