Google Developer Essentials
Introductory 5단계 5시간 크레딧 20개
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, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
기본 요건:Recommended that students without prior Google Cloud Platform experience take the Google Cloud Essentials Quest as a prerequisite.
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.).
Cloud Natural Language API를 사용하면 텍스트 블록에서 항목을 추출하고 감정 및 구문 분석을 수행할 수 있습니다. 이 실습에서는 Cloud Natural Language API를 사용하여 텍스트에서 항목과 감정을 추출하는 방법을 알아봅니다.
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 Cloud monitoring metric