このコースについて
318,316 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約13時間で修了

推奨:2 weeks of study, 6-10 hours/week...

英語

字幕:英語

学習内容

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    Processing big data at scale for analytics and machine learning

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    Fundamentals of building new machine learning models

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    Creating streaming data pipelines and dashboards

習得するスキル

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約13時間で修了

推奨:2 weeks of study, 6-10 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
3時間で修了

Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .

13件のビデオ (合計78分), 2 readings, 2 quizzes
13件のビデオ
Introduction to Google Cloud Platform3 分
Compute Power for Analytic and ML Workloads9 分
Demo: Creating a VM on Compute Engine13 分
Elastic Storage with Google Cloud Storage5 分
Build on Google's Global Network3 分
Security: On-premise vs Cloud-native2 分
Evolution of Google Cloud Big Data Tools5 分
Getting Started with Google Cloud Platform and Qwiklabs3 分
Choosing the right approach5 分
What you can do with Google Cloud Platform3 分
Activity: Explore real customer solution architectures7 分
Key roles in a data-driven organization6 分
2件の学習用教材
Google Cloud Public Datasets program10 分
Module Resources10 分
1の練習問題
Module Review5 分
2時間で修了

Recommending Products using Cloud SQL and Spark

8件のビデオ (合計50分), 1 reading, 2 quizzes
8件のビデオ
Introduction to machine learning5 分
Challenge: ML for recommending housing rentals8 分
Approach: Move from on-premise to Google Cloud Platform9 分
Demo: From zero to an Apache Spark job in 10 minutes or less6 分
Challenge: Utilizing and tuning on-premise clusters6 分
Move storage off-cluster with Google Cloud Storage4 分
Lab Intro2 分
1件の学習用教材
Module Resources5 分
1の練習問題
Module Review15 分
3時間で修了

Predict Visitor Purchases with BigQuery ML

13件のビデオ (合計74分), 2 readings, 2 quizzes
13件のビデオ
Demo: Query 2 billion lines of Github code in less than 30 seconds11 分
BigQuery: Fast SQL Engine4 分
Demo: Exploring bike share data with SQL11 分
Data quality4 分
BigQuery managed storage5 分
Insights from geographic data2 分
Demo: Analyzing lightning strikes with BigQuery GIS7 分
Choosing a ML model type for structured data4 分
Predicting customer lifetime value5 分
BigQueryML: Create models with SQL3 分
Phases in ML model lifecycle2 分
BigQuery ML: key features walkthrough5 分
2件の学習用教材
Lab Intro10 分
Module Resources10 分
1の練習問題
Module Review4 分
2
2時間で修了

Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow

8件のビデオ (合計31分), 1 reading, 2 quizzes
8件のビデオ
Message-oriented architectures with Cloud Pub/Sub6 分
Designing streaming pipelines with Apache Beam3 分
Implementing streaming pipelines on Cloud Dataflow3 分
Visualizing insights with Data Studio3 分
Creating charts with Data Studio2 分
Demo: Data Studio walkthrough7 分
Lab Intro1 分
1件の学習用教材
Module Resources10 分
1の練習問題
Module Review4 分
2時間で修了

Classify Images with Pre-Built Models using Vision API and Cloud AutoML

10件のビデオ (合計55分), 2 readings, 2 quizzes
10件のビデオ
How does ML on unstructured data work?3 分
Demo: ML built into Google Photos1 分
Comparing approaches to ML2 分
Demo: Using ML building blocks7 分
Using pre-built AI to create a chatbot4 分
Customizing Pre-built models with AutoML7 分
Lab Intro22
Building a Custom Model1 分
Demo: Text classification done three ways21 分
2件の学習用教材
Additional resources to build custom models10 分
Module Resources10 分
1の練習問題
Module Review
5分で修了

Summary

1件のビデオ (合計5分)
1件のビデオ
4.6
1361件のレビューChevron Right

45%

コース終了後に新しいキャリアをスタートした

43%

コースが具体的なキャリアアップにつながった

Google Cloud Platform Big Data and Machine Learning Fundamentals からの人気レビュー

by VSMar 3rd 2019

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.

by ADSep 24th 2019

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.

Google Cloudについて

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  • 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

  • To be eligible for the free trial, you will need:

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    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

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  • View this page for more details: https://cloud.google.com/free-trial/docs/

  • Yes, this online course is based on the instructor-led training formerly known as CPB100.

  • 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/

  • 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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