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Start 4 June 2026 16:37

Einde 4 June 2026

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From RAG to Enterprise AI Agents: Building Intelligent Java Apps

Discover how to evolve from RAG to enterprise AI agents by building intelligent Java applications, leveraging Java's ecosystem for AI integration, and modernizing existing apps with practical demos and implementation strategies.
Java via YouTube

Java

6076 Cursussen


45 minutes

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Overzicht

Discover how to evolve from RAG to enterprise AI agents by building intelligent Java applications, leveraging Java's ecosystem for AI integration, and modernizing existing apps with practical demos and implementation strategies.

Lesprogramma

  • Introduction to Enterprise AI
  • Overview of AI and its applications in enterprise settings
    Importance of AI integration in Java applications
  • Understanding RAG (Retriever-Augmented Generation)
  • Concept and components of RAG
    Use cases and benefits of RAG in AI applications
  • AI Principles in Java
  • Java's strengths and resources for AI development
    Key libraries and frameworks for integrating AI in Java apps
  • Designing Intelligent Java Applications
  • Planning and designing AI-driven features
    Identifying opportunities for AI enhancement in existing apps
  • Building RAG in Java
  • Implementing retrievers in Java applications
    Incorporating generative models and optimizing for Java
  • Transitioning to AI Agents
  • Characteristics and roles of enterprise AI agents
    Strategies for evolving RAG systems to full AI agents
  • Leveraging the Java Ecosystem
  • Tools and platforms for AI integration in the Java ecosystem
    Best practices for utilizing Java's capabilities in AI projects
  • Modernizing Existing Java Applications
  • Assessing current architecture and identifying AI integration points
    Techniques for gradual modernization without disrupting existing functionality
  • Practical Demos and Implementation Strategies
  • Step-by-step implementation of AI features in Java
    Real-world case studies and best practices
  • Deployment and Maintenance
  • Deploying AI-enabled Java applications at scale
    Monitoring and maintaining AI performance in production environments
  • Future Trends in AI for Java Applications
  • Emerging technologies and their implications for Java development
    Preparing for future advancements in AI and their integration into Java apps
  • Conclusion and Resources
  • Recap of key concepts and strategies
    Additional resources for continued learning in AI and Java integration

Vakgebieden

Programming