"Cloud Architecture Design Patterns" is a comprehensive course designed to introduce learners to the essential principles and patterns in cloud architecture. This course blends theoretical lessons with practical examples to equip participants with the skills necessary to design robust, scalable, and efficient cloud systems. Through learning everything from basic concepts to advanced patterns, the course ensures a well-rounded education in cloud architecture design.

Discover new skills with 30% off courses from industry experts. Save now.


Cloud Architecture Design Patterns
This course is part of Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI Specialization


Instructors: Karlis Zars
1,558 already enrolled
Included with
(27 reviews)
Recommended experience
What you'll learn
Show understanding of the fundamentals of cloud architecture, including key components like virtual machines, storage, and networking.
Identify and implement core cloud design patterns such as Load Balancer, Circuit Breaker, and Auto-Scaling to ensure scalability and reliability.
Demonstrate advanced cloud design patterns, including Microservices Architecture, Event-Driven Architecture, and Serverless Computing.
Skills you'll gain
Details to know

Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There is 1 module in this course
"Cloud Architecture Design Patterns" is a comprehensive course designed to introduce learners to the essential principles and patterns in cloud architecture. This course blends theoretical lessons with practical examples to equip participants with the skills necessary to design robust, scalable, and efficient cloud systems.
What's included
11 videos5 readings3 assignments3 plugins
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Offered by
Explore more from Cloud Computing
- Status: Free Trial
- Status: Free Trial
LearnKartS
- Status: Free Trial
University of Colorado Boulder
- Status: Preview
Tencent Cloud
Why people choose Coursera for their career




Learner reviews
27 reviews
- 5 stars
70.37%
- 4 stars
29.62%
- 3 stars
0%
- 2 stars
0%
- 1 star
0%
Showing 3 of 27
Reviewed on Apr 30, 2025
High level conceptual introduction to cloud computing.
Reviewed on Mar 3, 2025
A great course. Highly recommended. I needed to solidify my knowledge a little bit.

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
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 subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.