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Google Cloud Training

277,764 人已註冊

提供方

Google 云端平台

課程信息

185,448 次近期查看

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為10 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

您將學到的內容有

Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

您將獲得的技能

Tensorflow
Bigquery
Google Cloud Platform
Cloud Computing

可靈活調整截止日期

根據您的日程表重置截止日期。

可分享的證書

完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為10 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

授課教師

授課教師評分

4.71/5 （2,574 個評分）

Google Cloud Training

1,880,011 個學生

1,022 門課程

提供方

Google 云端平台

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

了解頂級公司的員工如何掌握熱門技能

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授課大綱 - 您將從這門課程中學到什麼

內容評分95%（27,581 個評分）

週

週 1

完成時間為 16 分鐘

Course Introduction

完成時間為 16 分鐘

2 個視頻（總計 6 分鐘）, 1 個閱讀材料

完成時間為 2 小時

Big Data and Machine Learning on Google Cloud

完成時間為 2 小時

9 個視頻（總計 31 分鐘）, 1 個閱讀材料, 2 個測驗

完成時間為 2 小時

Data Engineering for Streaming Data

完成時間為 2 小時

9 個視頻（總計 22 分鐘）, 1 個閱讀材料, 2 個測驗

9 個視頻

Introduction2分鐘

Big data challenges2分鐘

Message-oriented architecture4分鐘

Designing streaming pipelines with Apache Beam2分鐘

Implementing streaming pipelines on Cloud Dataflow3分鐘

Visualization with Looker2分鐘

Visualization with Data Studio1分鐘

Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow51

Summary1分鐘

1 個閱讀材料

Reading list10分鐘

1 個練習

Quiz30分鐘

完成時間為 2 小時

Big Data with BigQuery

完成時間為 2 小時

9 個視頻（總計 38 分鐘）, 1 個閱讀材料, 2 個測驗

9 個視頻

Introduction5分鐘

Storage and analytics3分鐘

BigQuery demo - San Francisco bike share11分鐘

Introduction to BigQuery ML4分鐘

Using BigQuery ML to predict customer lifetime value4分鐘

BigQuery ML project phases2分鐘

BigQuery ML key commands3分鐘

Lab introduction: Predicting Visitor Purchases Using BigQuery ML54

Summary1分鐘

1 個閱讀材料

Reading list10分鐘

1 個練習

Quiz30分鐘

週

週 2

完成時間為 1 小時

Machine Learning Options on Google Cloud

完成時間為 1 小時

8 個視頻（總計 25 分鐘）, 1 個閱讀材料, 1 個測驗

完成時間為 2 小時

The Machine Learning Workflow with Vertex AI

完成時間為 2 小時

8 個視頻（總計 26 分鐘）, 1 個閱讀材料, 2 個測驗

完成時間為 4 分鐘

Course Summary

完成時間為 4 分鐘

1 個視頻（總計 4 分鐘）

審閱

4.7

2645 條評論

5 stars
71.63%
4 stars
23.57%
3 stars
3.58%
2 stars
0.59%
1 star
0.60%

來自GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS的熱門評論

由 AR 提供2019年5月26日

This course gives you a pretty good fundamental idea on what you are diving into. Google cloud platform has bucket of data engineering features. This course sets you on the starting line for them.

由 CR 提供2017年12月26日

This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.

由 RH 提供2020年4月26日

We have learn't quite a lot of things which is necessary to be a data engineer and how to use GCP as your primary platform to over come the key challenges faced during data engineering life cycle

由 BV 提供2019年12月23日

It was very good training with some of the real-time use cases enjoyed a lot. As a new person to google cloud and big data, I think this the best basic fundamental which I have come across so far.

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常見問題

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此证书后会得到什么？
您注册课程后，将有权访问证书中的所有课程，并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中，您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Are there prerequisites for this course?
Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python
Am I eligible for the Google Cloud Platform free trial?
To be eligible for the free trial, you will need:
- Google account (Google is currently blocked in China)
- Credit card or bank account
- Terms of service
Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602
More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/
What if I have already used up my Google Cloud Platform free trial?
If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.
How does the free trial work?
View this page for more details: https://cloud.google.com/free-trial/docs/
Is this course similar to CPB100?
Yes, this online course is based on the instructor-led training formerly known as CPB100.
Does this course relate to the Google Certified Professional Data Engineer certification?
The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/
What is a Google certification?
Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

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Google Cloud Big Data and Machine Learning Fundamentals

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