This 2-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.
Google Cloud Platform Big Data and Machine Learning Fundamentals
Offered By
Google Cloud
About this Course
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Learner Career Outcomes
45%
started a new career after completing these courses
43%
got a tangible career benefit from this course
What you will learn
Processing big data at scale for analytics and machine learning
Fundamentals of building new machine learning models
Creating streaming data pipelines and dashboards
Skills you will gain
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
Learner Career Outcomes
45%
started a new career after completing these courses
43%
got a tangible career benefit from this course
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 14 hours to complete
Suggested: 2 weeks of study, 6-10 hours/week
English
Subtitles: English
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
3 hours to complete
Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .
Welcome to the Big Data and Machine Learning fundamentals on GCP 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 78 min), 2 readings, 2 quizzes
13 videos
Introduction to Google Cloud Platform3m
Compute Power for Analytic and ML Workloads9m
Demo: Creating a VM on Compute Engine13m
Elastic Storage with Google Cloud Storage5m
Build on Google's Global Network3m
Security: On-premise vs Cloud-native2m
Evolution of Google Cloud Big Data Tools5m
Getting Started with Google Cloud Platform and Qwiklabs3m
Choosing the right approach5m
What you can do with Google Cloud Platform3m
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 Review5m
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 Cloud Dataproc and Cloud SQL.
2 hours to complete
8 videos (Total 50 min), 1 reading, 2 quizzes
8 videos
Introduction to machine learning5m
Challenge: ML for recommending housing rentals8m
Approach: Move from on-premise to Google Cloud Platform9m
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 Intro2m
1 reading
Module Resources5m
1 practice exercise
Module Review15m
3 hours to complete
Predict Visitor Purchases with 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 74 min), 2 readings, 2 quizzes
13 videos
Demo: Query 2 billion lines of Github code in less than 30 seconds11m
BigQuery: Fast SQL Engine4m
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
BigQueryML: Create models with SQL3m
Phases in ML model lifecycle2m
BigQuery ML: key features walkthrough5m
2 readings
Lab Intro10m
Module Resources10m
1 practice exercise
Module Review4m
2 hours to complete
Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
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
Message-oriented architectures with Cloud Pub/Sub6m
Designing streaming pipelines with Apache Beam3m
Implementing streaming pipelines on Cloud Dataflow3m
Visualizing insights with Data Studio3m
Creating charts with Data Studio2m
Demo: Data Studio walkthrough7m
Lab Intro1m
1 reading
Module Resources10m
1 practice exercise
Module Review4m
2 hours to complete
Classify Images with Pre-Built Models using Vision API and Cloud AutoML
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
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 Intro22s
Building a Custom Model1m
Demo: Text classification done three ways21m
2 readings
Additional resources to build custom models10m
Module Resources10m
1 practice exercise
Module Review
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)
1 video
Reviews
4.6
TOP REVIEWS FROM GOOGLE CLOUD PLATFORM 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 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 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 DKApr 7, 2019
This course provides the basics of Google Cloud Platform and makes us understand Google Products and services on Cloud. I would love to explore GCP more and will opt for the remaining GCP courses.
by ARMay 26, 2019
This course gives you a pretty good fundamental idea on what you are diving into. Google cloud platform has bucket of data engineering features. This course sets you on the starting line for them.
by BVDec 23, 2019
It was very good training with some of the real-time use cases enjoyed a lot. As a new person to google cloud and big data, I think this the best basic fundamental which I have come across so far.
by CRDec 26, 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 5, 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.
by PCJun 23, 2017
Course is very engaging and attentive. As we have hands-on lab, we get some practical experience with guidance. I have learnt a lot from this course. Cant wait to attend Data Engineering Course.
by JIMar 26, 2018
Very good and well thought out.\n\nI just laughed out loud when the translation for "wow this is cool" to Spanish was "wow esto es fresco" (wow, this is a fresco/fresh) Classic google translate.
by BBJun 3, 2019
It was great learning about Google Cloud and hands on with the various services on the platform. There are immense possibilities of Cloud technologies in the future and happy to be a part of it
by MPJun 6, 2017
I highly recommend this course for an overview of what tools and services are provided by Google Cloud Platform that can be used for your web app hosting needs, big data, and machine learning.
by DCMay 20, 2019
This is a very well written Introductory course on GCP products. The review tests are very good. It makes the understanding of a concept more clearly. Thank you Google for making this content.
by WAMay 24, 2019
This course covers various basics regarding big data pipeline, analysis and machine learning on GCP.\n\nGreat course, especially for beginners who just jump into big data and ML stack on GCP!
by SSAug 25, 2018
A nice overview of some of GCP's offerings. Struggled to strike a balance between diving into details though, e.g. the labs were more detailed than an exec looking for an overview might need
by JCJun 5, 2019
Nice hands-on and broad overview of GCP Big Data and ML. I was able to not only be exposed to GCP tooling but also get a general idea on how to process and analyze big data in the cloud.
by MSDec 22, 2018
Great course for a people who want to know the overview about Google Cloud's product that specified on the Data Engineering fields. Very straight forward instructions and clear concepts.
by AVDec 15, 2017
Very good, structured, not too much, not too less introduction on GCP's ressources in terms of big data and machine learning. Labs are a perfect way of really feeling how does it work.
by VTAug 9, 2018
It was really a great course, I learned a lot and special thanks to instructor for helping in every possible aspects especially in labs part. Overall it was really a great experience.
by JEFeb 4, 2019
This is a great introduction to Google Cloud Platform and some of the great options for handling big data in a cost effective, easy to understand platform for today's data scientists.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
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.
What is the refund policy?
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.
