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Cloud DevOps using Microsoft Azure

Nanodegree Program

This program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on Microsoft’s AZ-400 DevOps Engineer Expert certification.

This program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on Microsoft’s AZ-400 DevOps Engineer Expert certification.

Built in collaboration with

Microsoft

Intermediate

3 months

Real-world Projects

Completion Certificate

Last Updated October 23, 2023

Skills you'll learn:
Software performance testing • Functional testing • Test environments • Logging
Prerequisites:
Scripting

Courses In This Program

Course 1 55 minutes

Welcome to the Cloud DevOps using Microsoft Azure Program

Welcome to Udacity! We're excited to share more about your nanodegree and start this journey with you! In this course, you will learn more about the pre-requisites, structure of the program, and getting started!

Lesson 1

Cloud DevOps using Microsoft Azure Program Introduction

Welcome to the DevOps Engineer for Microsoft Azure Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Getting Started: Azure Setup

Instructions to set up an Azure Account for this program

Course 2 4 weeks

Azure Infrastructure Operations

In modern deployments, automated deployment and management of cloud infrastructure is crucial for ensuring the high uptimes that customers expect. Understand the DevOps lifecycle and the basics of infrastructure management in Microsoft Azure. Learn about cloud security best practices to keep infrastructure secure. Leverage modern technologies to create robust and repeatable deployments in Microsoft Azure.

Lesson 1

Introduction to DevOps & Infrastructure

In this lesson, we'll get an overview of the course and look at some of the fundamental concepts we need to understand why DevOps and infrastructure are so important.

Lesson 2

Azure Infrastructure Fundamentals

In this lesson we'll cover Azure infrastructure fundamentals, including IaaS resource types, deploying virtual machines, and virtual networking and load balancing.

Lesson 3

Azure Security Best Practices

This lesson is all about Azure security, including using Azure Security Center, writing Azure security policies, configuring network security groups, and applying security best practices.

Lesson 4

Infrastructure as Code

In this lesson, we'll learn how to write Infrastructure as Code. We'll learn how to use Packer to deploy image templates, and how to use Terraform to deploy resources using infrastructure as code.

Lesson 5 • Project

Deploying a Web Server in Azure

In your final project, you'll create infrastructure as code—in the form of a Terraform template—in order to deploy a website with a load balancer.

Course 3 4 weeks

Agile Development with Azure

Automated Deployment of high quality software using DevOps principles is a critical skill in the cloud era. Master the theory and practice of Agile Project management with hands-on examples. Execute a Python centric Continuous Integration strategy that uses testing best practices, including open source code quality tools such as pylint and pytest. Couple Infrastructure-as-Code (IaC) with Continuous Delivery using Azure Pipelines to streamline the deployment of applications to Azure.

Lesson 1

Introduction to Agile Development with Azure

In this lesson, we'll consider the underlying problems that Agile solves for and introduce you to some of the core concepts and tools underlying the Agile approach.

Lesson 2

Agile Planning and Communication

In this lesson, we'll see how we can use an Agile approach to help ensure we're working on what matters—and avoiding typical problems that get in the way of software development.

Lesson 3

Continuous Integration

In this lesson, we'll look at how to use Azure to do Continuous Integration (CI). We'll walk through how to set up Azure Cloud Shell and evaluate different build server options.

Lesson 4

Continuous Delivery

In this lesson, we'll look at how to leverage infrastructure automation in your development lifecycle so that we can achieve Continuous Delivery (CD).

Lesson 5 • Project

Building a CI/CD Pipeline

In your final project, you'll integrate an Azure Cloud Shell environment and use it to build, test, deploy, and operationalize a Machine Learning project. This project uses Flask and sklearn.

Course 4 4 weeks

Ensuring Quality Releases (Quality Assurance)

Applications that have been built and released into the cloud need to be evaluated to ensure proper performance. Test cloud-based application performance and functionality within the pipeline itself, as well as after it has been deployed by using different types of test suites such as Selenium and Postman. Exercise those test suites against a variety of endpoints, including a sample eCommerce UI, and REST APIs. Build a systemic application monitoring process based on alert triggers in Azure Monitor and custom log files in Azure Log Analytics.

Lesson 1

Intro to Ensuring Quality Releases

Course Overview

Lesson 2

Creating and Deploying Azure Cloud Infrastructure

In this lesson, we will learn to use Terraform to deploy an Azure Resource and a CI/CD pipeline to execute an automated test.

Lesson 3

Performance Testing

In this lesson, you will learn how to create a performance test suite and use JMeter to execute it.

Lesson 4

Functional UI Testing with Selenium

In this lesson you will learn how to use Selenium to write automated functional UI tests.

Lesson 5

Integration Testing with Postman

In this lesson, you will learn how to use Postman to write automated integration tests.

Lesson 6

Azure Observability

In this lesson, you will learn how to configure an alert on an Azure resource and configure Azure Log Analytics to ingest a custom log file.

Lesson 7 • Project

Ensuring Quality Releases Project

This is the end-of-course project, where you will have a chance to pull all the skills together as you would in the regular work of an Azure DevOps Engineer.

Taught By The Best

Photo of Erick Galinkin

Erick Galinkin

Principal AI Researcher

Erick Galinkin is a hacker and computer scientist, leading research at the intersection of security and artificial intelligence at Rapid7. He has spoken at numerous industry and academic conferences on topics ranging from malware development to game theory in security.

Photo of Noah Gift

Noah Gift

Founder of Pragmatic AI Labs

Noah Gift teaches and consults at top universities and companies globally, including Duke and Northwestern. His areas of expertise are Machine Learning, MLOps, A.I., Data Science, and Cloud Architecture. Noah has authored several bestselling books, including Python for DevOps.

Photo of Nathan Anderson

Nathan Anderson

DevOps Engineer, Goodyear Tire & Rubber Company

Nathan has worked on implementing DevOps solutions for the past 8 years across the financial, educational, logistics, and manufacturing industries.

Ratings & Reviews

Average Rating: 4.3 Stars

62 Reviews

Mohamed B.

April 18, 2022

Well implemented program

Anonymous

April 5, 2022

it's going very well, it's challenging enough to learn a lot

Gabriele F.

March 21, 2022

Well selected and well explained content!

Claudianor J.

November 6, 2021

Udacity's program is incredible and I'm really linking it, but in the project i had some difficulties because there were some requirements that I haven't learned, then I had to search it on Google e Forums and read the Terraform documentation to finish my project. I think it's not supposed to be like that, I wanna learn it with Udacity.

Maksim G.

October 21, 2021

I got some great feedback and help from the reviewers

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