About this Course

29,693 recent views
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.
Intermediate Level
Approx. 9 hours to complete
English

What you will learn

  • Understand use-cases for real-time streaming analytics.

  • Use Pub/Sub asynchronous messaging service to manage data events. Write streaming pipelines and run transformations where necessary.

  • Understand both sides of a streaming pipeline: production and consumption.

  • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis.

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.
Intermediate Level
Approx. 9 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up87%(1,203 ratings)Info
Week
1

Week 1

6 minutes to complete

Introduction

6 minutes to complete
2 videos (Total 6 min)
1 hour to complete

Introduction to Analytics and AI

1 hour to complete
4 videos (Total 18 min)
1 hour to complete

Prebuilt ML model APIs for Unstructured Data

1 hour to complete
3 videos (Total 9 min)
2 hours to complete

Big Data Analytics with AI Platform Notebooks

2 hours to complete
3 videos (Total 6 min)
Week
2

Week 2

2 hours to complete

Productionizing Custom ML Models

2 hours to complete
6 videos (Total 11 min)
2 hours to complete

Custom Model building with SQL in BigQuery ML

2 hours to complete
6 videos (Total 15 min)
1 hour to complete

Custom Model Building with AutoML

1 hour to complete
4 videos (Total 26 min)
3 minutes to complete

Summary

3 minutes to complete
1 video (Total 3 min)

Reviews

TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.