You may want to move away from the monolithic style of app development to a DevOps-focused agile process. This course identifies the resources, tools, and methods needed to successfully refactor a web app to Microsoft Azure App Services.

Refactoring is a critical developer skill that helps keep code from collapsing under its own weight. Learn how to recognize "code smells" that may indicate the need for refactoring and how to fix them with specific techniques and patterns.

Building bullet-proof business line applications is a complex task. This course will teach you an in-depth guideline into refactoring from Anemic Domain Model into a rich, highly encapsulated one.

Learn how to refactor legacy applications into microservices using open-source AI technologies. Understand the principles of microservices architecture and how to deploy scalable, independent services for improved system efficiency.

You’ve learned SOLID and Refactoring; now put them together! This course will teach you how to apply refactoring techniques to improve the design of an existing application, using SOLID principles as a guide.

This course will teach you how to practically apply SOLID principles in Java applications to avoid technical debt and build robust, loosely coupled systems that can evolve easily over time.

When we think of machine learning, we often focus on the training process. A small amount of preparation before this process can not only speed up and improve learning, but also give us some confidence about how well our models will work when faced with data we have never seen before.

Learn how to log and register an MLflow model in Azure Machine Learning.

Explore the value and configuration options when registering an app in Microsoft Entra, to ensure your data and infrastructure is protected.

Get to know how you might be affected by regreSSHion, an OpenSSH vulnerability that allows for remote code execution, and learn what you can do to assess and mitigate the impact.

Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.

Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.