About this Course

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Shareable Certificate
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100% online
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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.
Beginner Level
Approx. 10 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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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)

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