Project Portfolio

Real-world projects are integral to every Udacity Nanodegree program. They become the foundation for a job-ready portfolio to help learners advance their careers in their chosen field. The projects in the Cloud DevOps Engineer Nanodegree program were designed in collaboration with a group of highly talented industry professionals to ensure you develop the most in-demand skills. Every project in a Nanodegree program is human-graded by a member of Udacity’s mentor and reviewer network. These project reviews include detailed, personalized feedback on how you can improve your work. Udacity graduates consistently rate projects and project reviews as one of the best parts of their experience with Udacity.

Project 1 - Deploy Static Website on AWS

The cloud is perfect for hosting static websites that only include HTML, CSS, and JavaScript files that require no server-side processing. In this project, you will deploy a static website to AWS. First, you will create an S3 bucket, configure the bucket for website hosting, and secure it using IAM policies. Next, you will upload the website files to your bucket and speed up content delivery using AWS’s content distribution network service, CloudFront. Lastly, you will access your website in a browser using the unique S3 endpoint.

Project 2 - Deploy a high-availability web app using CloudFormation

In this project, you’ll deploy web servers for a highly available web app using CloudFormation. You will write the code that creates and deploys the infrastructure and application for an Instagram-like app from the ground up. You will begin with deploying the networking components followed by servers, security roles and software. The procedure you follow here will become part of your portfolio of cloud projects. You’ll do it exactly as it’s done on the job: following best practices and scripting as much as possible.

Project 3 - Build CI/CD Pipelines, Monitoring & Logging

In this course, you’ll learn the process of taking software from source code to deployment and beyond. You’ll learn about automated testing, choosing the right deployment strategy for your business needs and deploying an appropriate CI/CD pipeline. You’ll also learn about monitoring and logging to ensure that your application is running at peak performance and stays that way.

You’ll also learn to manage and make changes to your servers in an automated way, using Ansible, a leading Configuration Management tool.

Project 4 - Operationalize a Machine Learning Microservice API

In this project, you will continue your work on operationalizing microservices by deploying an elastic and fault-tolerant Machine Learning inference API using Kubernetes. You’ll configure this microservice to be highly available by using Kubernetes best practices. You will validate your design by load testing the service and verifying the application architecture performs as designed.

Project 5 - Capstone Project

The purpose of the Cloud DevOps Engineer capstone project is to give you a chance to combine what you've learned throughout the program. This project will be an important part of your portfolio that will help you achieve your cloud development-related career goals.

In the capstone project, each project is unique to the student. You’ll build a CI/CD pipeline for a microservices application for different deployment strategies. Students define the scope of the project and select the right deployment strategy based on different business requirements.

We're excited to see what you build!