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Microsoft Developer Community Blog
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Unlocking Java and AI Potential: Learning Plan, JavaOne, and JDConf 2025

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JoshuaHuang
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Mar 18, 2025

Co-authored with Julien Dubois (Microsoft Principal Cloud Advocate) and keynote speaker at JDConf 2025.

Java remains a cornerstone in today’s AI-driven world, offering scalability, high performance, and seamless integration for enterprise applications. Microsoft continues its commitment to Java developers with two exciting events: JavaOne 2025 and Microsoft JDConf 2025. Additionally, we’ve launched an official Microsoft Learn plan, "From Enthusiasts to Enterprise Java: A Practitioner’s Guide," providing expert-curated resources to help teams build Java-focused, AI-driven solutions.

Why Choose Java and Azure for AI Development?

Azure offers a comprehensive ecosystem to support Java-based AI development, providing tools, frameworks, and cloud-native solutions to enhance performance and scalability.

1. Scalability and Performance
  • Azure Container Apps: Enables scalable microservices and serverless containers.
  • Azure App Service: A fully managed platform for Java web applications.
  • Azure Functions: Supports event-driven Java workloads for efficient cloud applications.
  • Azure Kubernetes Service (AKS): Simplifies deploying, managing, and scaling Java applications with full Kubernetes orchestration.
2. Enterprise-Level Integration
  • PostgreSQL for structured data storage.
  • Cosmos DB: Java-supported scalable vector store for AI workloads.
  • Azure AI Search: Intelligent indexing and retrieval for semantic search, recommendation engines, and conversational AI.
3. AI-Specific Services
  • Azure Cognitive Services: Pre-built AI models for natural language processing, vision, and speech.
  • Azure Machine Learning: Tools to accelerate AI model training and deployment.
  • Azure Databricks: Advanced analytics and AI model training with big data capabilities.
4. Open-Source Flexibility

Azure supports popular open-source Java frameworks like Spring AI, LangChain4j, and the OpenAI Java SDK, allowing developers to build innovative AI-driven applications.

The combination of Java’s robust capabilities and Azure’s AI-driven services provides developers with the resources needed to build powerful, scalable applications that drive business value.

Join us at the JavaOne event in California 

As part of our dedication to Java, Microsoft is proud to be a Diamond sponsor at JavaOne 2025 from March 18-20 in Redwood Shores, California. Our team will showcase how developers can build, migrate, and scale Java applications using Azure’s powerful tools and services.

Event Highlights:
  • Breakout sessions on AI integration, Java application modernization, and cloud-native development. Click here to register. 
  • Interactive booths featuring hands-on demos and opportunities to connect with industry experts.

Don’t miss this opportunity to explore cutting-edge Java innovations with us!

Register for the Microsoft JDConf online event 

Microsoft JDConf 2025, Microsoft’s premier Java developer event, is set to take place virtually on April 9-10, 2025. With the theme "Code the Future with AI," this event will explore how Java is transforming AI-powered applications.

What to Expect at Microsoft JDConf 2025:

  • Keynote by Amanda Silver, CVP of Microsoft Developer Division, covering AI, cloud innovation, and development tools.
  • AI-assisted development tools for Java applications.
  • Modernizing Java applications with the latest frameworks (Spring, Quarkus, Jakarta EE).
  • Cloud-native Java development with containers, microservices, and serverless architectures.
  • Exclusive insights into Java 25, featuring new capabilities and optimizations like virtual threads and GraalVM.
  • Live-streamed sessions with global Java experts and local community networking.

Checkout the agenda for Microsoft JDConf 2025: 

Enhance Your Java AI Skills with Microsoft Learn

To help developers build cutting-edge AI applications with Java, we’ve introduced "From Enthusiasts to Enterprise Java: A Practitioner’s Guide"—a structured learning plan on Microsoft Learn. This expert-led training provides the foundational and advanced skills needed to design and deploy cloud-native AI applications.

Key Learning Outcomes:
  • Design and deploy scalable, resilient AI applications on Azure.
  • Understand best practices for security, collaboration, and scalability in AI development.
  • Integrate Azure AI services into Java applications to add intelligent capabilities.
  • Develop efficient backend systems, databases, and APIs for AI-driven solutions.
  • Utilize Azure Container Apps to streamline deployment and operational efficiency.

Whether you’re modernizing existing applications or building AI-driven solutions from scratch, this learning plan equips you with the tools and knowledge needed for success.

Building AI apps requires a reliable, scalable, and efficient programming language, and Java has long been a trusted choice for enterprise AI development. Our official Plan on Microsoft Learn, , provides a structured pathway to mastering AI application development on Azure, equipping you with the skills to design, build, and deploy cloud-native AI solutions.  

 

Conclusion: Build the Future of AI with Java and Azure

With Java’s enterprise-grade reliability and Azure’s AI-powered ecosystem, developers have everything they need to build the future of AI applications. Join us at JavaOne 2025 and Microsoft JDConf 2025. to connect with experts, explore the latest innovations, and see how Azure empowers Java developers to drive the next wave of AI advancements.

We can't wait to see what you'll build! 🚀

Updated Mar 20, 2025
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