Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Learn Containerization & Server Deployment
Course
Develop an understanding of containerized environments while working with Docker.
Estimated time
1 month
Enroll by
May 31, 2023
Get access to classroom immediately on enrollment
Skills acquired
Docker, Kubernetes, Containerization Fluency
What You Will Learn
Server Deployment and Containerization
1 month to completeDevelop an understanding of containerized environments, use Docker to share and store containers, and deploy a Docker container to AWS Elastic Kubernetes Service using the CI/CD pipeline.
Prerequisite knowledge
Basic Computer Programming, Basic SQL
Containers
Describe and explain the benefits and use cases for containerized environments. Install Docker on a local machine and define a container environment using a Dockerfile.Download and launch a Docker container. Store and share a docker container.
AWS & Kubernetes
Introduce AWS and commonly used services: S3, EC2, and IAM. Create AWS resources using both AWS console and AWS command-line interface (CLI). Describe and explain container orchestration—how it works and the general use case. Describe and explain how Kubernetes manages container clusters. Create an EKS Cluster using AWS console and Eksctl (CLI)and manage Kubernetes clusters using the Kubectl (CLI).
Deployment Using CI/CD
Deploy an application to the EKS cluster. Use Cloudformation to create AWS resources using a YAML script. Implement an end-to-end continuous integration (CI) and continuous delivery (CD) pipeline using AWS CodePipeline and AWS CodeBuild services.
Course Project: Deploy a Flask App to Kubernetes Using EKS
Create a container for a Flask web app using Docker and deploy the container to a Kubernetes cluster using Amazon EKS. By the end of the project, you will have deployed your application live to the world, where it should be accessible by IP address. You'll use automated testing to prevent bad code from being deployed and monitor their app’s performance using AWS tools.
All Our Courses Include
Real-time support
On demand help. Receive instant help with your learning directly in the classroom. Stay on track and get unstuck.
Workspaces
Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Student community
- Real-time support
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
- Experienced Project Reviewers
- Real-Time Support
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Learn with the best.
Learn with the best.
Kennedy Behrman
InstructorKennedy is a veteran consultant and author, specializing in architecting and implementing cloud solutions for early-stage startups. He is experienced in data engineering, data science, AWS solutions, and engineering management.
Server Deployment and Containerization
Get started today
Learn
Develop an understanding of containerized environments while working with Docker.
Average Time
On average, successful students take 1 month to complete this program.
Benefits include
- Real-world projects from industry experts
- Real-time support
Program Details
Do I need to apply? What are the admission criteria?
No. This Course accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
To be successful in this program learners should have basic knowledge of computer programming, SQL, web development, command line interface, identity and access management, and relational databases. Additionally, learners should have a solid understanding of Git, object-relational mapping, and REST APIs.
How is this course structured?
This course is comprised of content and curriculum to support one project. We estimate that students can complete the program in one month.
The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
How long is this course?
Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
What software and versions will I need in this course?
Learners will need access to VSCode, Git, AWS CLI, EKSCTL, KUBECTL, Terminal or WSL/GitBash, Docker Desktop, and Python.