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参加实操培训，成为云专家。

为了让您跳出模拟环境，在实践中来了解云，我们特为您提供访问“Google Cloud Platform 和 Amazon Web Services”的临时凭据。我们力求覆盖每个人的学习需求。无论您是初学者还是专家，感兴趣的是时长半小时的单个实验还是跨度达数日的课程，都可以通过自定节奏的培训或有讲师指导的培训来探索机器学习、安全保护、基础架构、应用开发等各种主题。

特色学习

Quest

Google Cloud Run Serverless Workshop

Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text,and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the GCP Serverless Workshop: Pet Theory Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution.

Fundamental
Quest

Anthos: Service Mesh

This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.

Advanced
Quest

DevOps Essentials

DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!

Fundamental
Quest

Applied Data: Blockchain

Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

Advanced
Quest

Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

Fundamental
Quest

OK Google: Build Interactive Apps with Google Assistant

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

Fundamental
Quest

Optimizing Your GCP Costs

This is the second Quest in a two-part series on GCP billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your GCP costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your GCP costs or to influence your technology teams to apply the cost optimization best practices.

Advanced

热门内容

热门
Hands-On Lab

A Tour of Qwiklabs and the Google Cloud Platform

In this first hands-on lab you will access Qwiklabs and the Google Cloud Platform Console and use the basic GCP features: Projects, Resources, IAM Users, Roles, Permissions, APIs, and Cloud Shell.

Introductory
热门
Hands-On Lab

Exploring Google Ngrams with Amazon EMR

This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.

Expert
热门
Hands-On Lab

Creating a Virtual Machine

In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.

Introductory
热门
Hands-On Lab

Getting Started with Cloud Shell & gcloud

In this hands-on lab you will learn how to connect to computing resources hosted on Google Cloud Platform via the web. You will also learn how to use Cloud Shell and the Cloud SDK gcloud command. For a preview, watch the short video Get Started with Cloud Shell, GCP Essentials.

Introductory
热点
Hands-On Lab

Responding to Stackdriver Messages with Cloud Functions

In this lab you will learn how to use Cloud Functions to do lightweight processing of Stackdriver Logging messages

Introductory
热点
Hands-On Lab

Using Google Stackdriver Debug, Traces, Logging and Logpoints

In this lab, you'll tour some of the unique Stackdriver features enabling you to monitor and troubleshoot your applications with production debugging, API call tracing, and dynamically-added logpoints.

Expert
热点
Hands-On Lab

Scale Out and Update a Containerized Application on a Kubernetes Cluster

This is a Challenge Lab where you must complete a series of tasks within a limited time period. Instead of following step-by-step instructions, you will be presented with a general objective, and will be scored automatically based on your activity.

Advanced
高评分
Hands-On Lab

Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

Expert
高评分
Hands-On Lab

Video on Demand with AWS Elemental MediaConvert

In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.

Introductory
高评分
Hands-On Lab

Introduction to Amazon DynamoDB

This lab teaches you about Amazon DynamoDB by walking you through how to create, query, view and delete a table in the AWS Management Console.

Introductory

成为云专家

基础架构与开发运营

在云端实现、部署、迁移和维护应用。

网站及应用开发

面向在云端开发应用的软件工程师。

大数据

设计、构建、分析和优化大数据解决方案。

机器学习

编写可扩缩的分布式机器学习模型。

安全、备份和恢复

确保始终合规，并保护信息、数据应用和基础架构的安全。

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