Name: Smart Analytics, Machine Learning, and AI on GCP 日本語版
Rating: 4.5

4.5

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Google Cloud Training

Offered By

Google Cloud

About this Course

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機械学習をデータ パイプラインに組み込むことで、企業はデータから効率的に分析情報を抽出できるようになります。このコースでは、必要なカスタマイズの程度に応じて、Google Cloud Platform で機械学習をデータ パイプラインに組み込む方法をいくつか説明します。たとえば、ほとんどあるいはまったくカスタマイズが必要ない場合向けの AutoML、機械学習機能の大幅なカスタマイズが必要な場合向けの AI Platform Notebooks と BigQuery Machine Learning を紹介します。また、このコースでは、Kubeflow を使用して機械学習ソリューションを本稼働させる方法についても説明します。受講者は Qwiklabs を使用して、Google Cloud Platform での機械学習モデルの構築を実際に体験することができます。

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 8 hours to complete

Japanese

What you will learn

リアルタイムのストリーミング分析のユースケースを理解する。
Pub/Sub の非同期のメッセージングサービスを使用して、データイベントを管理する。ストリーミングパイプラインを記述して、必要に応じて変換を実行する。
ストリーミングパイプラインの両側（生成と利用）について理解する。
リアルタイムのストリーミングおよび分析で、Dataflow、BigQuery、Pub/Sub を相互運用する。

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 8 hours to complete

Japanese

Instructor

Google Cloud Training

1,919,707 Learners

1,035 Courses

Offered by

Google Cloud

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.

Syllabus - What you will learn from this course

Week1

Week 1

1 minute to complete

はじめに

1 minute to complete

1 video (Total 1 min)

12 minutes to complete

分析と AI の概要

12 minutes to complete

4 videos (Total 8 min)

1 hour to complete

非構造化データ用の事前構築済み ML モデル API

1 hour to complete

5 videos (Total 13 min)

2 hours to complete

Notebooks を使用したビッグデータ分析

2 hours to complete

4 videos (Total 7 min)

Week2

Week 2

2 hours to complete

Kubeflow を使用した本番環境の ML パイプライン

2 hours to complete

6 videos (Total 10 min)

2 hours to complete

BigQuery ML で SQL を使用したカスタムモデルの構築

2 hours to complete

6 videos (Total 12 min)

28 minutes to complete

AutoML を使用したカスタムモデルの構築

28 minutes to complete

6 videos (Total 24 min)

1 minute to complete

Module 7: まとめ

1 minute to complete

1 video (Total 1 min)

Frequently Asked Questions

Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

More questions? Visit the Learner Help Center.

Smart Analytics, Machine Learning, and AI on GCP 日本語版

About this Course

What you will learn