About this Course
4.6
3,191 ratings
629 reviews
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform 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 Google Account Notes: • Google services are currently unavailable in China. Buscando la versión en español de este curso? Visita https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-es/ このコースの日本語版をお探しですか?https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp/...
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Flexible deadlines

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Intermediate Level

Intermediate Level

Clock

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

Approx. 9 hours to complete
Comment Dots

English

Subtitles: English

Skills you will gain

TensorflowBigqueryGoogle Cloud PlatformCloud Computing
Globe

100% online courses

Start instantly and learn at your own schedule.
Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Clock

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

Approx. 9 hours to complete
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
14 minutes to complete

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

...
Reading
4 videos (Total 13 min), 1 reading
Video4 videos
Course Overview and Agenda5m
Getting Started with Google Cloud Platform and Qwiklabs2m
Meet Your Instructor3m
Reading1 reading
Please read me1m
Clock
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....
Reading
5 videos (Total 31 min), 1 quiz
Video5 videos
What is the Google Cloud Platform?14m
GCP Big Data Products9m
Usage Scenarios5m
Module Resourcesm
Quiz1 practice exercise
Module Review2m
Clock
3 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....
Reading
9 videos (Total 54 min), 1 reading, 3 quizzes
Video9 videos
CPUs On Demand7m
Lab Overviewm
Lab Review8m
A Global Filesystem14m
Lab Overview1m
Lab Review14m
Module Review3m
Module Resources3m
Reading1 reading
Module Resources10m
Quiz1 practice exercise
Module Review4m
Clock
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....
Reading
10 videos (Total 90 min), 3 quizzes
Video10 videos
Stepping Stones to Transformation20m
Your SQL Database in the Cloud5m
Lab Overviewm
Lab Review22m
Managed Hadoop in the Cloud8m
Lab Overviewm
Lab Review27m
Module Review3m
Module Resources1m
Quiz1 practice exercise
Module Review4m
Clock
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”)....
Reading
21 videos (Total 82 min), 1 reading, 4 quizzes
Video21 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 Overviewm
Lab Review : Setting up Datalab5m
Lab Review : Working in ipython notebook6m
Introductionm
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 : Resourcesm
Machine Learning : Resourcesm
Reading1 reading
Scaling Data Analysis : Resources1m
Quiz1 practice exercise
Module Review18m
Clock
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....
Reading
4 videos (Total 9 min), 1 reading, 1 quiz
Video4 videos
Message-oriented Architectures3m
Serverless Data Pipelines3m
Module Reviewm
Reading1 reading
Module Resources5m
Quiz1 practice exercise
Module Review4m
Clock
15 minutes to complete

Summary of GCP, Big Data and ML

...
Reading
3 videos (Total 5 min), 1 reading
Video3 videos
Next Steps1m
Additional Resourcesm
Reading1 reading
Additional Resources10m
4.6
Direction Signs

59%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course

Top Reviews

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.

By GOOct 6th 2018

This is an awesome course to understand GCP and fundamentals of Big Data. Very well designed and delivered by Google and Coursera. I love the teacher and his techniques as well. A BIG Thank you.

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

This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. 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 • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports...
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.