4:00 PM - 4:30 PM (UTC)

In this session, we will explore how to simplify and automate your Kubernetes deployments using GitHub Actions and Azure Kubernetes Service (AKS). Automated deployments not only streamline the process of setting up a CI/CD pipeline but also ensure consistent and reliable releases. We will dive into the key features of AKS automated deployments, including continuous integration and continuous deployment (CI/CD), Draft integration for automatic creation of Dockerfiles and Kubernetes deployment files, and enhanced developer experience. Additionally, we will demonstrate how to leverage the Azure Portal for managing your deployments efficiently. Whether you are a seasoned Kubernetes user or just getting started, this session will provide valuable insights and practical tips to enhance your deployment process.

4:00 PM - 4:30 PM (UTC)

Delivering innovation on top of an open spec commodity platform is a time-honored recipe for success in IT. Examples include Linux, graphics cards, web frameworks, just to name a few. This session shows how building on the open standards of Kubernetes, Jakarta EE, Langchain4J, and Azure OpenAI can help you deliver innovation like never before. While using GitHub copilot certainly helps building apps, this session shows how AI is applied in the problem domain of the application itself. After attending this session, you'll know how to run Open Liberty on AKS and use LangChain4J with Azure OpenAI in the problem domain of the application.

4:00 PM - 5:00 PM (UTC)

So, you have a new AI workload that you're ready to put into production. Join us as we cover the key considerations for deploying AI workloads at scale, from local development to large-scale deployment on Azure Kubernetes Service (AKS). We'll get hands on and deploy an AI workload to an enterprise ready AKS cluster. We'll go from "works on my machine" to "works on all machines" in 90 minutes or less! This series is part of the “Build Intelligent Apps” initiative. Learn more at https://aka.ms/intelligent-apps

4:00 PM - 4:30 PM (UTC)

Foundation models have a vast amount of knowledge but often need to be refined for specific tasks. In this demo, we'll see how KAITO (Kubernetes AI Toolchain Operator) can help you easily fine-tune models so that your LLMs stay on track and provide more accurate answers; just as your users expect.

4:00 PM - 4:30 PM (UTC)

Now you can use GitHub Copilot to suggest updates to your application code, making it easier to move it to the cloud as part of your intelligent app strategy while ensuring seamless and secure connections to your data. See how the Azure Migrate Code Assessment tool can be used to highlight specific updates you can make based on your desired cloud platform destination, then leverage GitHub Copilot to get implementation recommendations.

4:00 PM - 4:30 PM (UTC)

Discover how easy it can be to enhance your web apps with generative AI capabilities by utilizing web jobs and Azure OpenAI, ensuring optimal performance and low latency. Learn where to integrate APIs such as Semantic Kernel in your code to leverage multiple LLMs and enrich chat history. Additionally, see how you can optimize your scenarios by harnessing the power of SLMs, enabling greater efficiency and customization.

4:00 PM - 5:00 PM (UTC)

In this session, we’ll explore the key components of operational excellence for AI applications on AKS, including monitoring, logging, and scaling. By the end of this session, you’ll have a solid understanding of how to ensure your AI application runs smoothly in production, from fault-tolerance to observability. We’ll get hands-on with best practices for running AI workloads on AKS at scale! This series is part of the “Build Intelligent Apps” initiative. Learn more at https://aka.ms/intelligent-apps

4:00 PM - 4:30 PM (UTC)

Learn how to leverage the Azure app platform features to ensure your AI-enabled apps remain performant under load while scaling in/out based on demand.

4:00 PM - 4:30 PM (UTC)

IT organizations looking to modernize their applications are continually searching for efficient and secure AI services and enterprise CI/CD to streamline their deployments with the benefits of intelligent, AI-enabled applications. Learn how to leverage the power of Azure App Service, Azure OpenAI, and GitHub Actions to deploy and manage intelligent, OpenAI-enabled Java Spring applications in the cloud

4:00 PM - 4:30 PM (UTC)

In this session, we will use an existing Python project that interacts with a deployed ML model on Azure through an API. With the help of GitHub Copilot, we'll explore ways to understand the codebase better, containerize the project, and then automate it with GitHub Actions. By the end of this video, you'll be able to understand applied use-cases of GitHub Copilot to find more about specific requirements in projects like containerization and automation.

4:00 PM - 5:00 PM (UTC)

Kickstart your journey into AI with .NET! In this hands-on session, we’ll build a simple .NET project and infuse it with AI capabilities using just a few lines of code. Learn how to integrate tools like Semantic Kernel and Azure OpenAI to create intelligent applications that can perform complex tasks and provide enhanced user experiences. This session is perfect for developers eager to explore AI integration without extensive setup or deep knowledge of AI. This series is part of the “Build Intelligent Apps” initiative. Learn more at https://aka.ms/intelligent-apps

4:00 PM - 4:30 PM (UTC)

Asking Copilot for help with database queries is informative but can only go so far. But what if it was aware of your database schema? As it turns out, GitHub Copilot is remarkably good at writing SQL, generating models from the schema and more. In this video, we'll look at how to use the Postgres Chat Participant in VS Code to dramatically accelerate you PostgreSQL developer productivity.

4:00 PM - 4:30 PM (UTC)

Get ready to dive into a dynamic blend of cutting-edge products that together create a mature, secure, and responsible AI portfolio! We’re not just talking about one tool—we’re showcasing a smorgasbord of powerful solutions that, when integrated, give you the ultimate edge in AI development. From the seamless orchestration provided by Semantic Kernel to the responsible content filtering powered by Azure’s LLM, you'll see how these tools work together to elevate your applications to new heights. We’ll demonstrate how you can effortlessly blend conventional programming with AI capabilities while embedding ethical principles at the core. Whether it’s through AI plugins, semantic functions, or function chaining, you’ll walk away with practical insights on building AI solutions that are as trustworthy as they are innovative.

4:00 PM - 4:30 PM (UTC)

Discover the latest feature in Visual Studio Code's Extension Pack for Java: "Rewrite with New Java Syntax" powered by GitHub Copilot. In this session, we will demonstrate how Copilot identifies and suggests improvements for Java classes, converting legacy code into optimized, modern syntax. Attendees will experience the inline chat dialogue for quick review and application of these AI-generated suggestions. Join us to explore how integrating AI into your development workflow can streamline your coding process and keep you at the forefront of Java programming.

4:00 PM - 5:00 PM (UTC)

Learn how to add generative AI to your existing .NET applications seamlessly with Azure App Service. This session will show you how to enhance your apps with AI-powered features like caching and monitoring without modifying the core application code. Perfect for enterprises looking to quickly integrate AI capabilities, this talk will provide practical examples and best practices for modernizing your app portfolio efficiently. This series is part of the “Build Intelligent Apps” initiative. Learn more at https://aka.ms/intelligent-apps

4:00 PM - 4:30 PM (UTC)

In this session demo, we'll show you how to develop and deploy an intelligent Spring Boot application on Azure Container Apps. Using the PetClinic project as a foundation, we'll integrate a chatbot to provide information about pets and their owners. Key technologies include Langchain4j, Azure OpenAI, and Azure Cognitive Services. This session is ideal for developers looking to enhance their Spring Boot applications with AI and cloud-native features.

4:00 PM - 4:30 PM (UTC)

Ingest your own content using the Azure Functions OpenAI extension into a Cosmos DB vector database to enable OpenAI query on your data.

4:00 PM - 4:30 PM (UTC)

Learn how Azure API Management can be configured for authentication and authorization of OpenAI endpoints, enforcing rate limits based on OpenAI tokens used, load balancing across multiple OpenAI endpoints.

4:00 PM - 4:30 PM (UTC)

Discover how Microsoft Copilot for Azure can elevate your policy authoring process and enhance your API management experience. Explore this new capability today and unlock the full potential of simplified and intelligent policy management.