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Java

Integrating AI in Java Projects

Published by O'Reilly Media, Inc.

Intermediate to advanced content levelIntermediate to advanced

Access ChatGPT, Claude, Gemini, and other AI tools in your Java programs

Course outcomes

  • Access AI-based RESTful web services, such as those offered by OpenAI, Claude, or Gemini
  • Apply Java records for efficient data modeling and text blocks for managing multiline string literals in AI integration
  • Integrate and use higher-level Java frameworks like LangChain4j and Spring AI for more sophisticated AI integrations

Course description

As AI technologies continue to revolutionize the software industry, there's an increasing need for Java developers to harness these powerful tools. Join expert Ken Kousen to explore how to leverage Java's modern features, such as the HttpClient classes, Java records, and text blocks, to interact seamlessly with RESTful AI services like those offered by OpenAI, Claude, or Gemini. You’ll also venture into higher-level frameworks, including LangChain4j and Spring AI, for embedding sophisticated AI functionality into Java applications. By the end of the course, you’ll not only understand the theoretical aspects of AI integration but you’ll also know how to apply these concepts in real-world scenarios, enhancing your job performance and broadening your career opportunities.

What you’ll learn and how you can apply it

  • Learn the basic concepts of AI and how they can be integrated into Java applications
  • Understand AI services and APIs, and the role Java plays in interacting with these technologies
  • Effectively use Java's modern features for building connections with AI-powered RESTful web services and integrate various AI functionalities into your Java applications
  • Develop AI-enhanced Java applications
  • Understand how to incorporate advanced frameworks like LangChain4j and Spring AI into your Java projects

This live event is for you because...

  • You’re an intermediate or experienced Java developer.
  • You work with Java applications, including those from existing frameworks like Spring.
  • You want to become proficient at adding AI tools to your system.

Prerequisites

  • A good understanding of Java programming, including build tools and typical libraries
  • Some experience with AI tools like ChatGPT, Gemini, or Claude (helpful, but not required)

Recommended preparation:

If you wish to work with the tools from OpenAI, register here and create a key. This is not strictly required because open source tools (like Llama 2 via the Ollama framework) will also be used in class.

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction to AI and Java integration (30 minutes)

  • Presentation: Overview of AI technologies
  • Group discussion: Current trends in AI and their application in Java
  • Hands-on exercise: Set up the development environment
  • Q&A

Java features for AI integration (40 minutes)

  • Presentation: HttpClient, Java records, and text blocks
  • Group discussion: Best practices for using Java features in AI applications
  • Hands-on exercise: Build a simple application to consume a RESTful AI service
  • Q&A
  • Break

Basic AI integration in Java (70 minutes)

  • Presentation: Introduction to AI services (OpenAI, Claude, Gemini)
  • Group discussion: Use cases and challenges in AI integration
  • Hands-on exercise: Incorporate AI features using a REST API
  • Q&A
  • Break

Advanced AI frameworks and tools (70 minutes)

  • Presentation: Exploring LangChain4j and Spring AI
  • Group discussion: Comparing frameworks for optimal AI integration
  • Hands-on exercise: Integrate advanced AI features using LangChain4j/Spring AI
  • Q&A
  • Break

Future trends (30 minutes)

  • Presentation: The future of AI in Java development
  • Group discussion: How to stay updated and continue learning
  • Hands-on exercise: Reflect and create an action plan for implementing AI in work projects
  • Q&A

Your Instructor

  • Ken Kousen

    Ken Kousen is the author of the Kotlin Cookbook (O'Reilly), Modern Java Recipes (O'Reilly), Gradle Recipes for Android (O’Reilly), and Making Java Groovy (Manning), as well as O’Reilly video courses in Android, Groovy, Gradle, advanced Java, and Spring. A JavaOne Rock Star, he’s a regular speaker on the No Fluff Just Stuff conference tour and has spoken at conferences all over the world. Through his company, Kousen I.T., Inc., he’s taught software development training courses to thousands of students.

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