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Smart Analytics & AI on GCP for Data Engineers
This course is part of multiple programs. Learn more.
Course Cost
Free course
Intermediate
Skill Level
6 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版 program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Japanese
What you'll learn
Understand the differences between ML, AI, and deep learning
Use pre-built ML APIs to analyze unstructured data
Execute BigQuery commands from Jupyter notebooks
Create ML models using SQL syntax in BigQuery ML
Implement ML pipelines in production environments with Vertex AI
Build custom models with Vertex AI AutoML
Predict rental duration using BigQuery ML regression models
Generate movie recommendations using BigQuery ML
Skills you'll gain
This course includes:
6 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 8 modules in this course
This comprehensive course explores how to integrate machine learning capabilities into data pipelines on Google Cloud. Students learn multiple approaches to implementing ML solutions, from using pre-built ML APIs for unstructured data to creating custom models with BigQuery ML and Vertex AI AutoML. The curriculum covers Jupyter notebooks for big data analysis, ML pipeline construction in production environments, and SQL-based model building. Through hands-on labs, participants gain practical experience with Natural Language API, BigQuery ML regression models, and Vertex AI pipelines, preparing them to extract valuable insights from data using Google Cloud's machine learning tools.
はじめに
Module 1 · 1 Minutes to complete
分析と AI の概要
Module 2 · 12 Minutes to complete
非構造化データ用の事前構築済み ML モデル API
Module 3 · 60 Minutes to complete
Notebooks を使用したビッグデータ分析
Module 4 · 60 Minutes to complete
本番環境の ML パイプライン
Module 5 · 60 Minutes to complete
BigQuery ML で SQL を使用したカスタムモデルの構築
Module 6 · 120 Minutes to complete
Vertex AI AutoML を使用したカスタムモデルの構築
Module 7 · 26 Minutes to complete
まとめ
Module 8 · 0 Minutes to complete
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Faculties
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Frequently asked Questions
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