Google Cloud Big Data and Machine Learning Fundamentals

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

• Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.

• Analyze big data at scale with BigQuery.

• Identify different options to build machine learning solutions on Google Cloud.

• Describe a machine learning workflow and the key steps with Vertex AI.

Syllabus

Syllabus - What you will learn from this course
Week 1
Course Introduction
Big Data and Machine Learning on Google Cloud
Data Engineering for Streaming Data
Big Data with BigQuery
Week 2
Machine Learning Options on Google Cloud
The Machine Learning Workflow with Vertex AI
Course Summary

FAQ

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/

Reviews

Very good and well thought out.

I 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.

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.

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.

Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.