Coursera

Cloud Virtualization, Containers and APIs (Coursera)

Offered by Duke University,
Cloud Virtualization, Containers and APIs (Coursera)

Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen.

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

This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you build a containerized Flask application that is continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).

Course 2 of 4 in the Building Cloud Computing Solutions at Scale Specialization

Syllabus

WEEK 1
Getting Started with Cloud Building Blocks
This week, you will learn how to access the free tiers of three Cloud environments. If you are joining after completing the first course in this Specialization, this will already be familiar to you. You will then have an opportunity to review the details of the final project in this course: Creating a containerized Flask application that is continuously deployed to a Cloud platform. Each week, you will learn and build upon key Cloud development skills to prepare you for this final course project.

WEEK 2
Virtualization and Containers
This week, you will learn to evaluate the correct workflows for virtual machines and containers and how to choose the appropriate solution for the task at end. You will also learn about the powerful container management service: Kubernetes. You will apply this knowledge to create a containerized web service and deploy it to a managed container service.

WEEK 3
Microservices
This week, you will learn to build effective Microservices that comply with DevOps best practices. You will also learn to operationalize Microservices using Continuous Delivery. You will apply this knowledge to create an effective Microservice using AWS Lambda.

WEEK 4
Operations
This week, you will learn to effectively perform Operations. This involves mastering Monitoring and Alerts. A key question about Monitoring and Alerts is what to do when they occur. This question is handled in the following lesson. You will learn how load testing can prevent issues before they arise. Finally, the topic of Kaizen, or continuous improvement, is tackled. All of the topics this week are components of DevOps best practices.

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

Related Courses

Moving to the Cloud (Coursera) Coursera
University of Melbourne

Moving to the Cloud (Coursera)

Management & Leadership Business

The cloud is taking business by storm. In fact, due to the extraordinary growth of the cloud, it has been described as a tornado, not a fluffy white floating object! Commercial research analysts consider cloud as one of the most significant trends with a potential to change the whole global IT industry. Governments, including those in the US, Britain, and Australia, have cloud-first policies now in place which mandate cloud over non-cloud services in ICT procurement.

Nov 2nd 2026
5-12 Weeks
Management Cloud Communication
Details
Social Media Data Analytics (Coursera) Coursera
University of Washington

Social Media Data Analytics (Coursera)

Statistics & Data Analysis Data Science

Learner Outcomes: After taking this course, you will be able to: utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data; analyze unstructured data - primarily textual comments - for sentiments expressed in them; use different tools for collecting, analyzing, and exploring social media data for research and development purposes.

Oct 19th 2026
4 Weeks
Data Analysis Social Media Twitter
Details
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure (Coursera)

Security & Networking

Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come.

Oct 19th 2026
4 Weeks
Cloud Web Services Cloud Computing
Details
Agile with Atlassian Jira (Coursera) Coursera
Atlassian

Agile with Atlassian Jira (Coursera)

CS: Software Engineering Computer Science

Agile teams use “just enough” planning and an incremental approach to accomplishing the work of the team. Every project and every team uses a custom agile methodology. This course discusses common foundational principles and practices used by agile methodologies, providing the student a flexible set of tools to use in any role (e.g. product owner, scrum master, project manager, team member) on any agile team.

Oct 26th 2026
4 Weeks
Cloud Software Agile
Details
Cloud: Platform as a Service - Bachelor's (Coursera) Coursera
Illinois Tech

Cloud: Platform as a Service - Bachelor's (Coursera)

CS: Information & Technology

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Oct 26th 2026
5-12 Weeks
Cloud Machine Learning PaaS
Details
Preparing for the Google Cloud Professional Cloud Architect Exam em Português Brasileiro (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Cloud Architect Exam em Português Brasileiro (Coursera)

CS: Information & Technology

Trecho extraído do curso: "A melhor maneira de se preparar para o exame é ter competência nas habilidades que o trabalho exige." Este curso usa uma abordagem de cima para baixo com o objetivo de revelar as habilidades e o conhecimento que você já tem e apontar as áreas que precisam melhorar. Use este curso para criar seu próprio plano de estudo personalizado. Ele ajudará você a se preparar melhor e a desenvolver e praticar as habilidades necessárias para realizar este trabalho.

Oct 26th 2026
1 Week
Cloud Cloud Computing Google Cloud Platform
Details
Exam Prep: AWS Certified Solutions Architect - Associate (Coursera) Coursera
AWS

Exam Prep: AWS Certified Solutions Architect - Associate (Coursera)

CS: Information & Technology

This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam.

Nov 2nd 2026
4 Weeks
Security Cloud Computing Cloud Computing Security
Details
Data Collection and Processing with Python (Coursera) Coursera
University of Michigan

Data Collection and Processing with Python (Coursera)

CS: Software Engineering CS: Programming

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.

Oct 19th 2026
3 Weeks
Python APIs Data Collection
Details
AWS Cloud Practitioner Essentials (Coursera) Coursera
AWS

AWS Cloud Practitioner Essentials (Coursera)

Computer Science

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understand of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

Nov 2nd 2026
5-12 Weeks
Security Databases Cloud Computing
Details