About this Course
5,336 ratings
981 reviews

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 1 week of study, 6-10 hours/week...


Subtitles: English

Skills you will gain

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 1 week of study, 6-10 hours/week...


Subtitles: English

Syllabus - What you will learn from this course

14 minutes to complete

Introduction to the Data and Machine Learning on Google Cloud Platform Specialization

4 videos (Total 13 min), 1 reading
4 videos
Course Overview and Agenda5m
Getting Started with Google Cloud Platform and Qwiklabs2m
Meet Your Instructor3m
1 reading
Please read me1m
1 hour to complete

Introduction to Google Cloud Platform and its Big Data Products

In this module you will be introduced to Google Cloud Platform and the data handling aspects of the platform....
5 videos (Total 31 min), 1 quiz
5 videos
What is the Google Cloud Platform?14m
GCP Big Data Products9m
Usage Scenarios5m
Module Resources27s
1 practice exercise
Module Review2m
4 hours to complete

Foundations of GCP Compute and Storage

In this module, we introduce the foundations of the Google Cloud Platform: compute and storage and introduce how they work to provide data ingest, storage, and federated analysis....
9 videos (Total 54 min), 1 reading, 3 quizzes
9 videos
CPUs On Demand7m
Lab Overview37s
Lab Review8m
A Global Filesystem14m
Lab Overview1m
Lab Review14m
Module Review3m
Module Resources3m
1 reading
Module Resources10m
1 practice exercise
Module Review4m
4 hours to complete

Data Analysis on the Cloud

In this module we introduce the common Big Data use cases that Google will manage for you. These are the things that are widely done in industry today and for which we provide easy migration to the cloud....
10 videos (Total 90 min), 3 quizzes
10 videos
Stepping Stones to Transformation20m
Your SQL Database in the Cloud5m
Lab Overview24s
Lab Review22m
Managed Hadoop in the Cloud8m
Lab Overview17s
Lab Review27m
Module Review3m
Module Resources1m
1 practice exercise
Module Review4m
5 hours to complete

Scaling Data Analysis and Machine Learning

This module is about the more transformational technologies in Google Cloud platform that may not have immediate parallels to technologies that attendees are using (“what's next”)....
21 videos (Total 82 min), 1 reading, 4 quizzes
21 videos
Fast Random Access11m
Warehouse and Interactively Query Petabytes with Google BigQuery3m
Ingesting data into BigQuery2m
Interactive, Iterative Development with Cloud Datalab1m
Cloud Datalab : Demo3m
Datalab supports BigQuery2m
Lab Overview27s
Lab Review : Setting up Datalab5m
Lab Review : Working in ipython notebook6m
Machine Learning with TensorFlow8m
Training and creating a Neural Network Model : Part 11m
Training and Creating a Neural Network Model : Part 25m
Lab Overview4m
Pre-built Machine Learning Models4m
Pre-built ML APIs : Examples8m
Lab Review8m
Module Review2m
Scaling Data Analysis : Resources10s
Machine Learning : Resources14s
1 reading
Scaling Data Analysis : Resources1m
1 practice exercise
Module Review18m
18 minutes to complete

Data Processing Architectures: Scalable Ingest, Transform and Load

In this module we will introduce you to data processing architectures in Google Cloud Platform: Asynchronous processing with TaskQueues. Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow....
4 videos (Total 9 min), 1 reading, 1 quiz
4 videos
Message-oriented Architectures3m
Serverless Data Pipelines3m
Module Review32s
1 reading
Module Resources5m
1 practice exercise
Module Review4m
15 minutes to complete

Summary of GCP, Big Data and ML

3 videos (Total 5 min), 1 reading
3 videos
Next Steps1m
Additional Resources35s
1 reading
Additional Resources10m
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Top Reviews

By VSMar 3rd 2019

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

By CRDec 27th 2017

This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.

About Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

About the Data Engineering on Google Cloud Platform Specialization

>>>Look for details below for COMPLETION CHALLENGE, receive up to $150 in Qwiklabs credits<<< This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. Looking to make a career change? Upon completion of this Specialization, you’ll have the opportunity to share your information directly with Google and Publicis [more partners coming soon] to be considered for open hiring opportunities. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML COMPLETION CHALLENGE For every course you complete before May 5, 2019, we will send you 30 Qwiklabs credits (upto $150 USD value)! >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...
Data Engineering on Google Cloud Platform

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:

    • A common query language such as SQL

    • Extract, transform, load activities

    • Data modeling

    • Machine learning and/or statistics

    • Programming in Python

  • To be eligible for the free trial, you will need:

    - Google account (Google is currently blocked in China)

    - Credit card or bank account

    - Terms of service

    Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602

    More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

    For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/

  • If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.

  • View this page for more details: https://cloud.google.com/free-trial/docs/

  • Yes, this online course is based on the instructor-led training formerly known as CPB100.

  • The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

  • Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

More questions? Visit the Learner Help Center.