4.2 Read 91 reviews
Overview
Container technologies have existed for years, and are still gaining popularity. Two of the most prevalent options are Docker and Kubernetes - each with its own distinct set of features. Regardless of which technology you choose, one of the biggest challenges with containers is their orchestration. Unlike traditional, monolithic applications where you can only scale at a macro level - an executable, for example - containerized applications scale at the container level. When coupled with a microservices approach, each container can contain the code necessary to execute a single task or function. While this provides a number of benefits, a single application can consist of hundreds of containerized microservices. How do you handle starting, stopping, scaling out and scaling in all of these containers?
AWS offers a number of services that help with container orchestration, including Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon Lightsail, and Amazon Elastic Container Registry (ECR). Throughout this course, expert instructors will dive deep into these services as well as general container technologies and capabilities.
This Containerized Applications on AWS course offered by Coursera in partnership with Amazon Web Services uses a combination of video-based lectures, delivered by AWS technical trainers, demonstrations, and hands-on lab exercises to enable you to deploy and manage a containerized application.
What you'll learn
What's a container
How are containers built and deployed
Identify containers use cases and benefits
Explain the basic concepts of Amazon elastic containers service and Kubernetes
Programme Structure
Course structure:
- Microservices and the Corporate Directory Application
- Multi-Container Deployments and Docker Compose Demonstration
- Container Orchestration and Amazon Elastic Container Service Concepts Overview
- Scheduling and Task Placement with Amazon ECS
- Scaling and Service Discovery with Amazon ECS
- Amazon ECS Demonstration
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Web Technologies & Cloud Computing Machine Learning View 404 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content