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Google Developer Essentials

Introductory 5 Steps 4 hours 24 积分

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.

Application Development

Prerequisites:

Recommended that students without prior Google Cloud Platform Experience take the GCP Essentials Quest as a prerequisite.

Quest Outline

Hands-On Lab

Deploy Node.js Express Application in App Engine

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.

Hands-On Lab

Weather Data in BigQuery

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.

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Hands-On Lab

Classify Images of Clouds in the Cloud with AutoML Vision

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.).

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Hands-On Lab

Entity and Sentiment Analysis with the Natural Language API

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.

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Hands-On Lab

Google Assistant: Build a Restaurant Locator with the Places 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.

Hands-On Lab

Autoscaling an Instance Group with Stackdriver Custom Metrics

This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Stackdriver metric

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