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  1. Courses
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  3. Cloud Architecture Design Patterns

Cloud Architecture Design Patterns

"Cloud Architecture Design Patterns" introduces key principles and patterns, blending theory and practice to help learners design scalable and efficient cloud systems.

Karlis Zars
Karlis Zars
Data Science | intermediate | 2 hours |   Published: Jan 2025
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
97.5%RECOMMEND*

This course includes:

  • 2 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

"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. 

Reflect on a moment early in my career, when a project suffered due to our team's inadequate understanding of cloud scalability. This challenging experience, involving system downtimes during critical peak loads, highlighted the critical need for robust architecture — an eye-opening episode that showcased the direct impact of architecture on performance and cost-efficiency. 

By the end of this course, learners will have a solid foundation in cloud design patterns, enabling them to effectively architect solutions that leverage cloud technologies. Whether you are new to cloud architecture or seeking to enhance your existing skills, this course provides the knowledge and tools necessary to succeed in the rapidly evolving field of cloud computing. 

Skills You Will Gain

Cloud architecture
Design Patterns
Design
Scalability
Microservices
Loan Management
Cloud
Cloud system

Learning Outcomes (At the end of this program you will be able to)

  • 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. 

 

Prerequisites

Participants should have a basic understanding of cloud computing concepts, including knowledge of service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid). Familiarity with software design principles, such as object-oriented programming, design patterns, and a basic understanding of RESTful services, is also recommended. This foundational knowledge will help learners fully engage with the course material and apply the concepts effectively in real-world scenarios.
 

Who Should Attend

This course is designed for aspiring cloud architects, software developers, IT professionals, and anyone interested in cloud technologies. It is ideal for those looking to deepen their understanding of cloud architecture design patterns and enhance their skills in creating robust, scalable, and efficient cloud systems. Whether you are new to cloud architecture or seeking to refine your expertise, this course provides valuable insights and practical knowledge applicable to various roles in the tech industry.
 

Curriculum

Instructors

Frequently Asked Questions

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction to Cloud Architecture
2Module 2: Core Cloud Design Patterns
3Module 3: Advanced Cloud Design Patterns

Segment 08 - Microservices Architecture

Segment 09 - Event-Driven Architecture

Segment 10 - Serverless Architecture

Segment 11 - Congratulations and Continuous Learning Journey

Karlis Zars

Karlis Zars

Karlis is a dedicated professional committed to shaping the next generation of software developers. With over seven years of experience, he serves as a JAVA Trainer at Software Development Academy, where he mentors aspiring developers and equips them with the skills needed to thrive in the fast-paced tech industry.

Beyond the classroom, Karlis is deeply involved in cutting-edge research as a PhD student in Computer Science at the University of Latvia. His research focuses on artificial intelligence and machine learning, exploring innovative applications that drive industry advancements.

Karlis began his journey in technology with hands-on experience as a Robotic Process Automation Developer at Rimi Baltic Group, where he designed and implemented automated solutions that transformed business processes. His previous roles as a Developer at ELVA and a Junior Software Developer at D8 Corporation allowed him to hone his expertise in Java, JavaScript, Linux, and Flutter, contributing to his well-rounded understanding of software development.

Throughout his career, Karlis has remained committed to delivering high-quality, user-friendly solutions that address complex challenges. His experience as a System Administrator at Lauku Avīze AS and a Software Tester at Lattelecom helped cultivate a diverse skill set and a keen eye for detail.

Karlis’ academic journey at Latvijas Universitāte, where he is pursuing a Doctor of Philosophy in Computer Science, has further enriched his knowledge and reinforced his commitment to excellence in both academia and industry.

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Segment 01 - Introduction to the Course & Meet Your Instructor

Segment 02 - Understanding Cloud Architecture

Segment 03 - Key Components of Cloud Systems

Segment 04 - Benefits and Challenges of Cloud Computing

Segment 05 - Load Balancer Pattern

Segment 06 - Circuit Breaker Pattern

Segment 07 - Auto-Scaling Pattern