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Google Cloud Training

229,371 人已註冊

提供方

Google 云端平台

課程信息

272,898 次近期查看

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

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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。

中級

完成時間大約為12 小時

英語（English）

字幕：英語（English）

您將學到的內容有

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

Employ BigQuery to carry out interactive data analysis.

Choose between different data processing products on Google Cloud.

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。

中級

完成時間大約為12 小時

英語（English）

字幕：英語（English）

授課教師

授課教師評分

4.71/5 （2,186 個評分）

Google Cloud Training

1,496,401 個學生

335 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.

授課大綱 - 您將從這門課程中學到什麼

內容評分95%（25,311 個評分）

週

週 1

完成時間為 3 小時

Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course

Welcome to the Google Cloud Big Data and Machine Learning Fundamentals course. Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.

完成時間為 3 小時

13 個視頻（總計 80 分鐘）, 2 個閱讀材料, 2 個測驗

13 個視頻

Welcome to Google Cloud Big Data and Machine Learning Fundamentals5分鐘

Introduction to Google Cloud3分鐘

Compute Power for Analytic and ML Workloads9分鐘

Demo: Creating a VM on Compute Engine13分鐘

Elastic Storage with Google Cloud Storage6分鐘

Build on Google's Global Network3分鐘

Security: On-premise vs Cloud-native2分鐘

Evolution of Google Cloud Big Data Tools5分鐘

Getting Started with Google Cloud and Qwiklabs4分鐘

Choosing the right approach5分鐘

What you can do with Google Cloud3分鐘

Activity: Explore real customer solution architectures7分鐘

Key roles in a data-driven organization6分鐘

2 個閱讀材料

Google Cloud Public Datasets program10分鐘

Module Resources10分鐘

1 個練習

Module Review10分鐘

完成時間為 2 小時

Recommending Products using Cloud SQL and Spark

In this module you will have an existing Apache SparkML recommendation model that is running on-premise. You will learn about recommendation models and how you can run them in the cloud with Dataproc and Cloud SQL.

完成時間為 2 小時

8 個視頻（總計 50 分鐘）, 1 個閱讀材料, 2 個測驗

8 個視頻

How businesses use recommendation systems6分鐘

Introduction to machine learning5分鐘

Challenge: ML for recommending housing rentals8分鐘

Approach: Move from on-premise to Google Cloud9分鐘

Demo: From zero to an Apache Spark job in 10 minutes or less6分鐘

Challenge: Utilizing and tuning on-premise clusters6分鐘

Move storage off-cluster with Google Cloud Storage4分鐘

Lab Intro: Recommending Products Using Cloud SQL and Spark2分鐘

1 個閱讀材料

Module Resources5分鐘

1 個練習

Module Review14分鐘

完成時間為 3 小時

Predict Visitor Purchases Using BigQuery ML

In this module, you will learn the foundations of BigQuery and big data analysis at scale. You will then learn how to build your own custom machine learning model to predict visitor purchases using just SQL with BigQuery ML.

完成時間為 3 小時

13 個視頻（總計 73 分鐘）, 2 個閱讀材料, 2 個測驗

13 個視頻

Introduction to BigQuery5分鐘

Demo: Query 2 billion lines of Github code in less than 30 seconds11分鐘

BigQuery: Fast SQL Engine3分鐘

Demo: Exploring bike share data with SQL11分鐘

Data quality4分鐘

BigQuery managed storage5分鐘

Insights from geographic data2分鐘

Demo: Analyzing lightning strikes with BigQuery GIS7分鐘

Choosing a ML model type for structured data4分鐘

Predicting customer lifetime value5分鐘

BigQuery ML: Create models with SQL3分鐘

Phases in ML model lifecycle2分鐘

BigQuery ML: key features walkthrough5分鐘

2 個閱讀材料

Lab Intro: Predicting Visitor Purchases with a Classification Model with BigQuery ML10分鐘

Module Resources10分鐘

1 個練習

Module Review10分鐘

週

週 2

完成時間為 2 小時

Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio

In this module you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard. Before you build your pipeline you'll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.

完成時間為 2 小時

8 個視頻（總計 31 分鐘）, 1 個閱讀材料, 2 個測驗

8 個視頻

Modern data pipeline challenges3分鐘

Message-oriented architectures with Pub/Sub6分鐘

Designing streaming pipelines with Apache Beam3分鐘

Implementing streaming pipelines on Dataflow3分鐘

Visualizing insights with Data Studio3分鐘

Creating charts with Data Studio2分鐘

Demo: Data Studio walkthrough7分鐘

Lab Intro: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow1分鐘

1 個閱讀材料

Module Resources10分鐘

1 個練習

Module Review4分鐘

完成時間為 2 小時

Deriving Insights from Unstructured Data using Machine Learning

Don't want to create a custom ML model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.

完成時間為 2 小時

10 個視頻（總計 55 分鐘）, 2 個閱讀材料, 2 個測驗

10 個視頻

Where is unstructured ML used in business?4分鐘

How does ML on unstructured data work?3分鐘

Demo: ML built into Google Photos1分鐘

Comparing approaches to ML2分鐘

Demo: Using ML building blocks7分鐘

Using pre-built AI to create a chatbot4分鐘

Customizing Pre-built models with AutoML7分鐘

Lab Intro: Classifying Images of Clouds in the Cloud with AutoML Vision22

Building a Custom Model1分鐘

Demo: Text classification done three ways21分鐘

2 個閱讀材料

Additional resources to build custom models10分鐘

Module Resources10分鐘

1 個練習

Module Review2分鐘

完成時間為 5 分鐘

Summary

In this final module, we will review the key challenges, solutions, and topics covered as part of this fundamentals course. We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.

完成時間為 5 分鐘

1 個視頻（總計 5 分鐘）

審閱

4.7

2443 條評論

5 stars
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4 stars
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3 stars
3.45%
2 stars
0.52%
1 star
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來自GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS的熱門評論

由 VS 提供2019年3月2日

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

由 UK 提供2021年2月10日

This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.

由 AS 提供2021年1月21日

Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.

由 MM 提供2019年11月13日

In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.

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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。
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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