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Instructor(s): Google Cloud Training

Subtitles: English

Offered By

Google Cloud

About this Course

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This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

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. 12 hours to complete

English

Subtitles: English

What you will learn

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

Employ BigQuery to carry out interactive data analysis.

Choose between different data processing products on Google Cloud.

Skills you will gain

TensorflowBigqueryGoogle Cloud PlatformCloud 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.

Intermediate Level

Approx. 12 hours to complete

English

Subtitles: English

Instructor

Instructor rating

4.71/5 (2,054 Ratings)

Google Cloud Training

1,416,715 Learners

317 Courses

Offered by

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.

Syllabus - What you will learn from this course

Content Rating95%(24,842 ratings)

Week

Week 1

3 hours to complete

Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course

Welcome to the Google Cloud Big Data and Machine Learning Fundamentals course. Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.

3 hours to complete

13 videos (Total 80 min), 2 readings, 2 quizzes

13 videos

Welcome to Google Cloud Big Data and Machine Learning Fundamentals5m

Introduction to Google Cloud3m

Compute Power for Analytic and ML Workloads9m

Demo: Creating a VM on Compute Engine13m

Elastic Storage with Google Cloud Storage6m

Build on Google's Global Network3m

Security: On-premise vs Cloud-native2m

Evolution of Google Cloud Big Data Tools5m

Getting Started with Google Cloud and Qwiklabs4m

Choosing the right approach5m

What you can do with Google Cloud3m

Activity: Explore real customer solution architectures7m

Key roles in a data-driven organization6m

2 readings

Google Cloud Public Datasets program10m

Module Resources10m

1 practice exercise

Module Review10m

2 hours to complete

Recommending Products using Cloud SQL and Spark

In this module you will have an existing Apache SparkML recommendation model that is running on-premise. You will learn about recommendation models and how you can run them in the cloud with Dataproc and Cloud SQL.

2 hours to complete

8 videos (Total 50 min), 1 reading, 2 quizzes

8 videos

How businesses use recommendation systems6m

Introduction to machine learning5m

Challenge: ML for recommending housing rentals8m

Approach: Move from on-premise to Google Cloud9m

Demo: From zero to an Apache Spark job in 10 minutes or less6m

Challenge: Utilizing and tuning on-premise clusters6m

Move storage off-cluster with Google Cloud Storage4m

Lab Intro: Recommending Products Using Cloud SQL and Spark2m

1 reading

Module Resources5m

1 practice exercise

Module Review14m

3 hours to complete

Predict Visitor Purchases Using BigQuery ML

In this module, you will learn the foundations of BigQuery and big data analysis at scale. You will then learn how to build your own custom machine learning model to predict visitor purchases using just SQL with BigQuery ML.

3 hours to complete

13 videos (Total 73 min), 2 readings, 2 quizzes

13 videos

Introduction to BigQuery5m

Demo: Query 2 billion lines of Github code in less than 30 seconds11m

BigQuery: Fast SQL Engine3m

Demo: Exploring bike share data with SQL11m

Data quality4m

BigQuery managed storage5m

Insights from geographic data2m

Demo: Analyzing lightning strikes with BigQuery GIS7m

Choosing a ML model type for structured data4m

Predicting customer lifetime value5m

BigQuery ML: Create models with SQL3m

Phases in ML model lifecycle2m

BigQuery ML: key features walkthrough5m

2 readings

Lab Intro: Predicting Visitor Purchases with a Classification Model with BigQuery ML10m

Module Resources10m

1 practice exercise

Module Review10m

Week

Week 2

2 hours to complete

Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio

In this module you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard. Before you build your pipeline you'll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.

2 hours to complete

8 videos (Total 31 min), 1 reading, 2 quizzes

8 videos

Modern data pipeline challenges3m

Message-oriented architectures with Pub/Sub6m

Designing streaming pipelines with Apache Beam3m

Implementing streaming pipelines on Dataflow3m

Visualizing insights with Data Studio3m

Creating charts with Data Studio2m

Demo: Data Studio walkthrough7m

Lab Intro: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow1m

1 reading

Module Resources10m

1 practice exercise

Module Review4m

2 hours to complete

Deriving Insights from Unstructured Data using Machine Learning

Don't want to create a custom ML model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.

2 hours to complete

10 videos (Total 55 min), 2 readings, 2 quizzes

10 videos

Where is unstructured ML used in business?4m

How does ML on unstructured data work?3m

Demo: ML built into Google Photos1m

Comparing approaches to ML2m

Demo: Using ML building blocks7m

Using pre-built AI to create a chatbot4m

Customizing Pre-built models with AutoML7m

Lab Intro: Classifying Images of Clouds in the Cloud with AutoML Vision22s

Building a Custom Model1m

Demo: Text classification done three ways21m

2 readings

Additional resources to build custom models10m

Module Resources10m

1 practice exercise

Module Review2m

5 minutes to complete

Summary

In this final module, we will review the key challenges, solutions, and topics covered as part of this fundamentals course. We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.

5 minutes to complete

1 video (Total 5 min)

Reviews

4.7

2407 reviews

5 stars
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4 stars
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3 stars
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2 stars
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1 star
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TOP REVIEWS FROM GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS

by VSMar 2, 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 ADSep 23, 2019

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

by MMNov 13, 2019

In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.

by UKFeb 10, 2021

This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, 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.
Are there prerequisites for this course?
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
Am I eligible for the Google Cloud Platform free trial?
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/
What if I have already used up my Google Cloud Platform free trial?
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.
How does the free trial work?
View this page for more details: https://cloud.google.com/free-trial/docs/
Is this course similar to CPB100?
Yes, this online course is based on the instructor-led training formerly known as CPB100.
Does this course relate to the Google Certified Professional Data Engineer certification?
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/
What is a Google certification?
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.

Google Cloud Big Data and Machine Learning Fundamentals