Microservice Architectures (Coursera)

Offered by Vanderbilt University,
Microservice Architectures (Coursera)

Dive into the world of Microservices Architectures with this comprehensive course, designed to provide a clear understanding of both the theoretical and practical aspects of building scalable and robust systems. Beginning with the concept of program slicing, this course will guide you through the intricacies of Microservices, contrasting them against monolithic systems, and demonstrating the art and science behind their design, deployment, and maintenance.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is part of the Scalable Microservices for Developers Specialization.

What You'll Learn:

  • Program Slicing and its Relevance: Dive into the foundational concepts of program slicing, its significance in system design, and its relationship with Microservices.
  • Monoliths vs. Microservices: Contrast the architectural styles, understanding the strengths, weaknesses, and practical differences of each approach.
  • Decoupling and Invocation Dynamics: Grasp the intricacies of service decoupling, hidden couplings, and the complexities of service invocation within a Microservices environment.
  • Deployment, Scalability, and Dependency Management: Delve into the challenges and consequences of adopting Microservices, focusing on deployment strategies, scalability issues, and dependency isolation.
  • Building Resilient Systems: Explore client-side load balancing, circuit breakers, fallback strategies, and other resilience techniques to ensure system stability and robustness.

Who Should Enroll:
Students should have intermediate Java programming experience.

Syllabus

Microservices I & Program Slicing
The Pros and Cons of Microservices
Microservices Architectural Patterns

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

AI and the Illusion of Intelligence (Coursera) Coursera
Copenhagen Business School

AI and the Illusion of Intelligence (Coursera)

Will AI soon be surpassing humans? This is rapidly becoming one of the central questions of our time -- but it is the wrong question. In this course, we will provide a non-technical look at where AI has come from, and where it is going. We will see that there is no reason to expect that AI will be surpassing humans. Instead, what we are learning to create with AI is the illusion of intelligence.

Nov 23rd 2026
4 Weeks
Microservices, Serverless, OpenShift (edX) EdX
IBM

Microservices, Serverless, OpenShift (edX)

Learn about Microservices architecture and Serverless computing. Understand their benefits and the process for deployment. Practice using multiple tools in hands-on labs. Create a serverless web application and deploy as a Microservice on OpenShift and as static files on Cloud Object Storage. The demand for serverless is accelerating as organizations look to scale more quickly and efficiently. With the increase in cloud adoption, Microservices within the serverless stack are becoming more popular with faster deployments and greater flexibility.

Self Paced
Self-Paced
Advanced Topics in ASP.NET Core Development (Coursera) Coursera
EDUCBA

Advanced Topics in ASP.NET Core Development (Coursera)

Welcome to our comprehensive course, "Building Modern Web Solutions." This course prepares you for roles that require a holistic understanding of modern web development, covering real-time communication, performance optimization, microservices architecture, and advanced security practices. The job roles may vary depending on the specific needs and technologies organizations adopt in the web development domain.

Nov 9th 2026
4 Weeks
Orientação a Objetos com Java (Coursera) Coursera
Instituto Tecnológico de Aeronáutica

Orientação a Objetos com Java (Coursera)

Neste curso, assumimos que você já sabe desenvolver programas pequenos em Java, mas você talvez não se sinta ainda confortável em projetar programas mais complexos com método e organização. O objetivo deste curso é fazer você compreender os princípios de orientação a objetos por meio da linguagem Java e saber como eficientemente aplicar esses princípios na prática quando projetando e desenvolvendo software de maneira ágil. Os conceitos discutidos e experimentados por você neste curso serão a base para você poder compreender os novos conceitos apresentados nos cursos seguintes desta especialização.

Nov 23rd 2026
5-12 Weeks
Approximation Algorithms Part I (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part I (Coursera)

How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum.

Nov 23rd 2026
5-12 Weeks
Code Yourself! An Introduction to Programming (Coursera) Coursera
University of Edinburgh,Universidad ORT Uruguay

Code Yourself! An Introduction to Programming (Coursera)

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

Nov 23rd 2026
5-12 Weeks
Approximation Algorithms Part II (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part II (Coursera)

This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques.

Nov 23rd 2026
4 Weeks
Machine Learning Algorithms (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Nov 23rd 2026
4 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Nov 23rd 2026
5-12 Weeks