Pay as you go
- Maximum flexibility to learn at your own pace.
- Cancel anytime.
At 5-10 hours/week
Get access to the classroom immediately on enrollment
Intermediate programming experience, familiarity with SQL databases and version control with Git.
In this course, you will learn the basics of deploying an application to Azure and understand the benefits and costs of cloud deployments, different types of service models, and how to navigate the Microsoft Azure platform.
In this course, you will learn how to implement a serverless microservice back-end architecture in Python using Azure cloud serverless offerings. You’ll compare and contrast common Azure microservices architecture and compute options, configure an instance of a MongoDB database with Azure Cosmos DB, and allow the API to talk to this database. You will also apply Enterprise Logic Apps and Event Grid to structure an application workflow. Finally, you’ll deploy published API endpoints so they provide the necessary responses to complete the client-side requests of the front-end web application.
This course focuses on the techniques, processes, and nuances of migrating an existing application to Azure. It will cover the whole end-to-end process of an Azure migration from predicting costs of the migration to refactoring the code to ensure the application and corresponding databases are compatible with Azure. In addition, the course walks through best practices of the different application components migrated to Azure: web applications, background processes, and databases.
This course enables students to acquire skills which allow them to collect data about the health and performance of an application, analyze and display the collected data to make informed decisions, and create automation to remedy application health or performance issues. You will set up and use Application Insights on a variety of Azure resources, and use the Application Insights SDK in a Python application to collect and transmit data about the application. You’ll also query, transform, and display the collected application data so that the data can easily be analyzed, and use automation in Azure to manage cloud resources.
Full-Stack Product Engineer, Udacity
After beginning in restaurant and retail management, Chris transitioned his career to tech, leveraging Udacity and other training platforms to master several different programming languages on his journey to becoming a full-stack software engineer.
Engineer & Research Scientist
Ann is a Senior Software Engineer & AI Research Scientist at Raytheon BBN Technologies, where she currently works on maritime predictive modelings for the Dept. of Defense. She also has experience building applications at startups and deploying AWS cloud infrastructure for the Dept. of Veterans Affairs.
Premier Field Engineer, Microsoft
Golois is an experienced engineer specialized in building resilient and scalable cloud native applications as well as migrating software and systems to Azure. He has worked with enterprises on both cloud migration projects and application performance, and is Azure Certified both as a Developer and Solution Architect.
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.
Pay as you go