About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 10 hours to complete
English

What you will learn

  • Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.

  • Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.

  • Identify different options to build machine learning solutions on Google Cloud.

  • Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

Skills you will gain

  • Tensorflow
  • Bigquery
  • Google Cloud Platform
  • Cloud Computing
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 External Link
Beginner Level
Approx. 10 hours to complete
English

Instructor

Offered by

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Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(27,750 ratings)
Week1
Week 1
16 minutes to complete

Course Introduction

16 minutes to complete
2 videos (Total 6 min), 1 reading
2 hours to complete

Big Data and Machine Learning on Google Cloud

2 hours to complete
9 videos (Total 31 min), 1 reading, 2 quizzes
2 hours to complete

Data Engineering for Streaming Data

2 hours to complete
9 videos (Total 22 min), 1 reading, 2 quizzes
2 hours to complete

Big Data with BigQuery

2 hours to complete
9 videos (Total 38 min), 1 reading, 2 quizzes
Week2
Week 2
1 hour to complete

Machine Learning Options on Google Cloud

1 hour to complete
8 videos (Total 25 min), 1 reading, 1 quiz
2 hours to complete

The Machine Learning Workflow with Vertex AI

2 hours to complete
8 videos (Total 26 min), 1 reading, 2 quizzes
4 minutes to complete

Course Summary

4 minutes to complete
1 video (Total 4 min)

Reviews

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