This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
Google 云端平台課程信息
366,304 次近期查看
學生職業成果
41%
完成這些課程後已開始新的職業生涯
40%
通過此課程獲得實實在在的工作福利
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。
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中級
完成時間大約為12 小時
英語（English）
字幕：法語（French）, 巴西葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將學到的內容有
Processing big data at scale for analytics and machine learning
Fundamentals of building new machine learning models
Creating streaming data pipelines and dashboards
您將獲得的技能
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
學生職業成果
41%
完成這些課程後已開始新的職業生涯
40%
通過此課程獲得實實在在的工作福利
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。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為12 小時
英語（English）
字幕：法語（French）, 巴西葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .
Welcome to the Big Data and Machine Learning fundamentals on GCP 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 78 分鐘）, 2 個閱讀材料, 2 個測驗
13 個視頻
Introduction to Google Cloud Platform3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 Platform and Qwiklabs3分鐘
Choosing the right approach5分鐘
What you can do with Google Cloud Platform3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 Review5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 Cloud 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
Introduction to machine learning5分鐘
Challenge: ML for recommending housing rentals8分鐘
Approach: Move from on-premise to Google Cloud Platform9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 Intro2分鐘
1 個閱讀材料
Module Resources5分鐘
1 個練習
Module Review15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 74 分鐘）, 2 個閱讀材料, 2 個測驗
13 個視頻
Demo: Query 2 billion lines of Github code in less than 30 seconds11分鐘
BigQuery: Fast SQL Engine4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 Intro10分鐘
Module Resources10分鐘
1 個練習
Module Review4分鐘
完成時間為 2 小時
Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
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
Message-oriented architectures with Cloud Pub/Sub6分鐘
Designing streaming pipelines with Apache Beam3分鐘
Implementing streaming pipelines on Cloud Dataflow3分鐘
Visualizing insights with Data Studio3分鐘
Creating charts with Data Studio2分鐘
Demo: Data Studio walkthrough7分鐘
Lab Intro1分鐘
1 個閱讀材料
Module Resources10分鐘
1 個練習
Module Review30分鐘
完成時間為 2 小時
Classify Images with Pre-Built Models using Vision API and Cloud AutoML
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
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 Intro22
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 Review
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）
1 個視頻
審閱
來自GOOGLE CLOUD PLATFORM 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 AD 提供2019年9月23日
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
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.
由 RT 提供2020年5月6日
It is a fun journey to explore the Big Data and ML resource in GCP. And even cooler is you don't need work for a big company or own lots of resource to get your hands dirty to support your learning!
常見問題
我什么时候能够访问课程视频和作业？
我订阅此证书后会得到什么？
Are there prerequisites for this course?
Am I eligible for the Google Cloud Platform free trial?
What if I have already used up my Google Cloud Platform free trial?
How does the free trial work?
Is this course similar to CPB100?
Does this course relate to the Google Certified Professional Data Engineer certification?
What is a Google certification?
完成课程后，我会获得大学学分吗？
還有其他問題嗎？請訪問 學生幫助中心。
