About this Course

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 5 hours to complete

English

Subtitles: English

What you will learn

  • Describe some of the key ways an organization can modernize its infrastructure modernization with Google Cloud technology.

  • Explain Google Cloud's recommended patterns for modernizing and developing applications and how Google Cloud Platform services can help.

  • Explain what is meant by the term "machine learning" and identify good use cases for it.

  • Explain the common challenges when it comes to cloud cost management and recommended best practices to address these challenges.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 5 hours to complete

English

Subtitles: English

Instructor

Offered by

Google Cloud logo

Google Cloud

Syllabus - What you will learn from this course

Week
1

Week 1

24 minutes to complete

Welcome to Google Cloud Product Fundamentals

24 minutes to complete
1 video (Total 2 min), 3 readings
3 readings
Getting Started Guide!10m
How to download course resources2m
How to Send Feedback10m
Week
2

Week 2

1 hour to complete

Module 1: Modernizing IT Infrastructure with Google Cloud Platform (GCP)

1 hour to complete
8 videos (Total 37 min)
8 videos
Infrastructure modernization7m
Hybrid and multi-cloud4m
Security3m
Resource hierarchy and trust boundaries4m
Identity and access management4m
GCP's core products and solutions3m
Compute7m
1 practice exercise
Module 1: Graded Assessment30m
Week
3

Week 3

1 hour to complete

Module 2: Building Applications with Google Cloud Platform (GCP)

1 hour to complete
7 videos (Total 27 min)
7 videos
Cloud change patterns5m
Challenges in application development4m
App Engine2m
Data storage3m
GCP data solutions5m
GCP object storage solutions2m
1 practice exercise
Module 2: Graded Assessment30m
Week
4

Week 4

1 hour to complete

Module 3: Transforming business with Artificial Intelligence and Machine Learning

1 hour to complete
6 videos (Total 26 min)
6 videos
What is machine learning?5m
ML data requirements4m
Predictive insights and repeated decisions4m
Real-world use cases for ML4m
AI and ML with GCP5m
1 practice exercise
Module 3: Graded Assessment30m

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

More questions? Visit the Learner Help Center.