Microsoft Developer presents a thorough video guide for developers on integrating AI and Microsoft cloud platform features into Java applications, covering modernization, deployment, and responsible AI practices.

Java and AI for Beginners – Full Series

Overview

This educational video series by Microsoft Developer is designed for Java developers interested in integrating Artificial Intelligence (AI), generative AI (GenAI), and Microsoft Cloud Platform (MCP) services into their Java applications. The series is organized in a practical, episode-based format covering:

  • Getting started with GenAI for Java
  • AI techniques and applications
  • Responsible AI principles
  • Working with MCP in Java (server and client setups)
  • Context engineering in the Java ecosystem
  • Modernizing legacy Java applications with AI
  • Migrating and deploying Java apps to Azure
  • Building intelligent agent-based AI applications
  • Running GenAI workloads in containers (including GPUs and dynamic sessions)

Episode Highlights

  1. Introduction to Java and AI for Beginners
  2. GenAI for Java Developers
    • Getting Started
    • AI Techniques
    • Use Cases and Example Apps
    • Responsible AI Considerations
  3. MCP and Java Apps
    • Building Servers and Clients that leverage Microsoft cloud services
  4. Context Engineering for Java Ecosystem
  5. Modernizing Java Apps with AI
    • Application upgrades and migration strategies
    • Deployment to Microsoft Azure
  6. Building Intelligent AI Apps
    • Architectures for agents and intelligent services
  7. Running GenAI in Containers
    • Setting up and optimizing containers for AI workloads
    • GPU and dynamic session management

What You’ll Learn

  • Practical approaches to integrating Microsoft AI services (including generative AI) into Java codebases
  • Best practices and real-world techniques for responsible AI development
  • Strategies for modernizing and migrating Java applications to the cloud with Microsoft Azure
  • How to architect and deploy AI-driven solutions using MCP and containerization
  • Core concepts such as context engineering for AI, agent-based architectures, and cloud deployment patterns

Target Audience

  • Java developers at beginner to intermediate levels who want to learn about AI integration using Microsoft services and cloud platforms
  • Teams seeking to modernize Java workloads with AI capabilities and deploy on Azure

Author

Content presented by Microsoft Developer

Learn more and start infusing AI into your Java apps today by following the full video series.