Build Azure and Transform Your Business with AI

Building Azure can transform your business with AI by leveraging its powerful tools and services. With Azure Machine Learning, you can quickly build, train, and deploy models that can drive business decisions.

By integrating AI with Azure services, you can automate processes, gain insights from data, and improve customer experiences. This can lead to increased efficiency, reduced costs, and improved competitiveness.

Azure's AI capabilities can help you unlock new revenue streams, such as offering personalized recommendations to customers or developing predictive maintenance for equipment.

Cloud development on Azure offers a range of benefits, including the ability to focus on building great experiences rather than managing infrastructure.

With Azure, you can simplify complex and distributed environments across on-premises, multiple clouds, and the edge with Azure hybrid cloud solutions. This includes bringing Azure management to your entire IT estate and running Azure services anywhere with Azure Arc.

Azure provides a comprehensive set of app development tools, including a range of execution environments, fully managed services, and a comprehensive set of app development tools. You can easily deploy containerized apps with Azure Kubernetes Service (AKS).

Some of the key features of Azure include:

* Simplify complex and distributed environments with Azure hybrid cloud solutions.Choose from a range of execution environments, fully managed services, and a comprehensive set of app development tools.Easily deploy containerized apps with Azure Kubernetes Service (AKS).

By using Azure, you can isolate the impact of faults, security incidents, and upgrades using microservices, containers, and serverless functions to build your applications in Azure. Explore Azure Security Center for more information.

Azure also provides a range of tools to help you get started with cloud development, including a developer dashboard for enhanced observability and diagnostics. This dashboard is included in .NET Aspire, a new cloud-native stack that simplifies development by automating configurations and integrating resilient patterns.

With .NET Aspire, you can focus more on coding and less on setup while still using your preferred tools. This stack is now available in general availability, and you can explore more about it on the DevBlogs post.

In addition, Azure provides a self-service app platform that can move from container image to deployed app in minutes. This platform, AKS Automatic, builds on Azure's expertise running some of the largest and most advanced Kubernetes applications in the world.

With AKS Automatic, you can focus on building great code, knowing that your app will be running securely with the scale, performance, and reliability it needs to support your business.

When building on Azure, you'll want to choose a programming language that fits your needs.

Python is a popular choice for Azure development, and it's also used for data science and machine learning tasks.

C# is another top choice for Azure development, as it's the primary language for building Windows applications.

Java is also widely used on Azure, particularly for enterprise-level applications.

.Net is a framework that supports multiple languages, including C#, F#, and Visual Basic.

Azure supports a wide range of programming languages, including Java, Python, C#, and JavaScript.

You can use Azure's Visual Studio Code extension to create and manage Azure resources from within your code editor.

Azure's Azure Functions allows you to write serverless code in C#, Java, JavaScript, and Python.

Developing apps on Azure can be a breeze with the right tools. You can edit, debug, and deploy to Azure with a lightweight yet powerful code editor called Visual Studio Code.

Visual Studio Code is a versatile tool that works with any language and runs on any OS. It's also integrated with Azure, making it easy to develop scalable, secure apps optimized for the cloud.

To streamline development, you can securely deliver software faster and automate code-to-cloud workflows with developer best practices and tools. This helps you focus on building great experiences instead of managing infrastructure.

Here are some key features of Visual Studio Code and other development tools:

You can also focus on building great experiences instead of managing infrastructure with highly secure, future-ready cloud solutions on Azure. This includes simplifying complex and distributed environments across on-premises, multiple clouds, and the edge with Azure hybrid cloud solutions.

You can deploy your application to Azure with various tools and services.

Azure offers a lightweight yet powerful code editor, Visual Studio Code, which works with any language and runs on any OS.

To deploy your application, you can choose from several options, including Azure Container Registry, Azure Kubernetes Service (AKS), Azure Web App, Azure Function, and Azure Web App for Containers.

Each deployment option has its own time estimate, ranging from 3 minutes to 11 minutes.

Here are some deployment options and their estimated times:

Automating the process of building and deploying your applications is essential in today's fast-paced world.

Azure DevOps Pipelines can help you do just that by automating the process of building and deploying your applications.

Creating your first Azure DevOps Pipeline is a big step toward making your software development easier.

You can build, test, and deploy your apps automatically, saving you time and effort.

Developers are creating amazing results with Azure, as seen in their customer stories.

Many organizations are leveraging Azure to achieve their goals, such as creating innovative applications and improving their business processes.

Azure customer stories showcase the success of these organizations, providing a wealth of information for those looking to build on the platform.

We're making significant strides in AI content safety, and it's an area that's near and dear to my heart. Custom Categories are coming soon to Azure AI Content Safety, allowing you to create custom filters for specific content filtering needs.

This feature includes a rapid option, enabling you to deploy new custom filters within an hour to protect against emerging threats and incidents. I've seen firsthand the importance of quick action in these situations.

Prompt Shields and Groundedness Detection are both available in preview now in Azure OpenAI Service and Azure AI Studio. Prompt Shields mitigate both indirect and jailbreak prompt injection attacks on LLMs.

Groundedness Detection enables detection of ungrounded materials or hallucinations in generated responses. This is a game-changer for ensuring the accuracy and reliability of AI-generated content.

Customer stories from Azure show developers creating amazing results with the platform. This is a testament to its capabilities and versatility.

Developers are using Azure to build innovative solutions that meet their customers' needs. They're creating apps, websites, and services that are scalable, secure, and reliable.

Azure customer stories highlight the platform's ability to support a wide range of applications and workloads. Whether it's a small startup or a large enterprise, Azure can help businesses succeed.

By leveraging Azure's robust features and tools, developers can focus on what matters most – building great products and experiences.