Google Cloud Huge Information and Machine Studying Fundamentals

About this Course

This course introduces the Google Cloud large information and machine studying services that help the data-to-AI lifecycle. It explores the processes, challenges, and advantages of constructing an enormous information pipeline and machine studying fashions with Vertex AI on Google Cloud.

This course is a part of a number of applications

This course might be utilized to a number of Specializations or Skilled Certificates applications. Finishing this course will depend in direction of your studying in any of the next applications:

• Making ready for Google Cloud Certification: Machine Studying Engineer Skilled Certificates
• Information Engineering, Huge Information, and Machine Studying on GCP Specialization

WHAT YOU WILL LEARN

• Acknowledge the data-to-AI lifecycle on Google Cloud and the foremost large information and machine studying merchandise.

• Analyze large information at scale with BigQuery.

• Establish totally different choices to construct machine studying options on Google Cloud.

• Describe a machine studying workflow and the important thing steps with Vertex AI.

SKILLS YOU WILL GAIN

• Tensorflow
• Bigquery
• Google Cloud Platform
• Cloud Computing

Syllabus – What you’ll be taught from this course

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WEEK

1

14 minutes to finish

Course Introduction

This part welcomes learners to the Huge Information and Machine Studying Fundamentals course, and offers an summary of the course construction and objectives.

2 hours to finish

Huge Information and Machine Studying on Google Cloud

This part explores the important thing parts of Google Cloud’s infrastructure. It’s right here that we introduce lots of the large information and machine studying services that help the data-to AI lifecycle on Google Cloud.

2 hours to finish

Information Engineering for Streaming Information

This part introduces Google Cloud’s answer to managing streaming information. It examines an end-to-end pipeline, together with information ingestion with Pub/Sub, information processing with Dataflow, and information visualization with Looker and Information Studio.

2 hours to finish

Huge Information with BigQuery

This part introduces learners to BigQuery, Google’s fully-managed, serverless information warehouse. It additionally explores BigQuery ML, and the processes and key instructions which are used to construct customized machine studying fashions.

WEEK

2

1 hour to finish

Machine Studying Choices on Google Cloud

This part explores 4 totally different choices to construct machine studying fashions on Google Cloud. It additionally introduces Vertex AI, Google’s unified platform for constructing and managing the lifecycle of ML initiatives.

2 hours to finish

The Machine Studying Workflow with Vertex AI

This part focuses on the three key phases–information preparation, mannequin coaching, and mannequin preparation–of the machine studying workflow in Vertex AI. Learners get the chance to follow constructing a machine studying mannequin with AutoML.

4 minutes to finish

Course Abstract

This part critiques the matters coated within the course, and offers further sources for additional studying.