What are best practices for implementing machine learning on Google Cloud? What is Vertex AI and how can you use the platform to quickly build, train, and deploy AutoML machine learning models without writing a single line of code? What is machine learning, and what kinds of problems can it solve?
提供：
Google Cloudこのコースについて
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共有できる証明書
修了時に証明書を取得
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。
初級レベル
約14時間で修了
英語
字幕：英語
学習内容
Describe Vertex AI Platform and how it's used to quickly build, train,and deploy AutoML machine learning models without writing a single line of code
Describe best practices for implementing machine learning on Google Cloud
Leverage Google Cloud Platform tools and environment to do ML
Articulate Responsible AI best practices
習得するスキル
- Application Programming Interfaces (API)
- Inclusive ML
- Machine Learning
- Google Cloud Platform
- Bigquery
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。
共有できる証明書
修了時に証明書を取得
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。
初級レベル
約14時間で修了
英語
字幕：英語
提供：
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.
シラバス - 本コースの学習内容
4分で修了
Introduction to Course and Series
This module introduces the course series and the Google experts who will be teaching it.
4分で修了
2件のビデオ （合計4分）
1時間で修了
What It Means to be AI-First
In this module, you explore building a data strategy around machine learning.
1時間で修了
7件のビデオ （合計35分）, 1 学習用教材, 1 個のテスト
1時間で修了
How Google Does ML
This module shares the organizational know-how Google has acquired over the years.
1時間で修了
7件のビデオ （合計31分）, 1 学習用教材, 1 個のテスト
6時間で修了
Machine Learning Development with Vertex AI
All machine learning starts with some type of goal - whether it be a business use case, academic use case, or goal you are trying to solve. This module reviews the process of determining whether the model is ready for production the “proof of concept” or “experimentation” phase.
6時間で修了
9件のビデオ （合計41分）, 1 学習用教材, 3 個のテスト
3時間で修了
Machine Learning Development with Vertex Notebooks
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
3時間で修了
4件のビデオ （合計19分）, 1 学習用教材, 2 個のテスト
19分で修了
Best Practices for Implementing Machine Learning on Vertex AI
This module reviews best practices for a number of different machine learning processes in Vertex AI.
19分で修了
4件のビデオ （合計11分）
1時間で修了
Responsible AI Development
This module discusses why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.
1時間で修了
7件のビデオ （合計33分）, 1 学習用教材, 1 個のテスト
2時間で修了
Summary
This module is a summary of the How Google Does Machine Learning course.
2時間で修了
4 学習用教材
レビュー
- 5 stars68.93%
- 4 stars23.66%
- 3 stars5.31%
- 2 stars1.17%
- 1 star0.90%
HOW GOOGLE DOES MACHINE LEARNING からの人気レビュー
GMにより2019年1月13日
An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.
JTにより2018年11月5日
Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.
DAにより2020年3月22日
The course is packed with wonderful learning resources. However I think that the course should be further divided into subsequent weeks so that it is easy to keep the track of the course.
PBにより2019年5月13日
This course helped me to know the latest machine learning techniques. My best part of this course was about the ml surprise which made me realise the mistakes where the new learners will do.
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