This module explores using GitHub Copilot and GitHub Copilot Chat suggestions to create new code. Autocompletion and code update suggestions are generated, managed, and implemented using the GitHub Copilot extensions for Visual Studio Code.

Azure Machine Learning studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure. Learn how to develop custom object detection models using this service with NVIDIA GPU accelerated virtual machines.

Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.

Learn how to configure Azure Cache for Redis, interact with the cache, and connect an application to Azure Cache for Redis by using .NET.

Learn how the Azure Content Delivery Network (CDN) functions, how to control cache behavior, and how to perform actions by using .NET.

Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

Learn how to use the Maven Plugin for Azure Functions to create a cloud-based function. The function is triggered when certain values are passed in an HTTP request, and it outputs a log entry to track the activity.

In this module, you'll learn to create a web app in IntelliJ and deploy the app to Azure by using Azure Toolkit for IntelliJ.

Use the Maven plugin for Azure App Service to develop a Java web app and deploy the app to Azure.

This module explains steps to develop monitoring with Azure Dashboards, work with View Designer and Azure Monitor, and create Azure Monitor Workbooks. Also, explore tools to supports monitoring with Power BI.

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

Object-oriented programming (OOP) is a programming paradigm that is modeled around objects and how you manipulate them. This module discusses concepts for object-oriented programming so you can develop customizations in finance and operations apps.