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Starts 8 June 2025 20:04
Ends 8 June 2025
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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
2544 Courses
45 minutes
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Overview
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.
Syllabus
- Introduction to Enterprise AI
- Understanding RAG (Retriever-Augmented Generation)
- AI Principles in Java
- Designing Intelligent Java Applications
- Building RAG in Java
- Transitioning to AI Agents
- Leveraging the Java Ecosystem
- Modernizing Existing Java Applications
- Practical Demos and Implementation Strategies
- Deployment and Maintenance
- Future Trends in AI for Java Applications
- Conclusion and Resources
Overview of AI and its applications in enterprise settings
Importance of AI integration in Java applications
Concept and components of RAG
Use cases and benefits of RAG in AI applications
Java's strengths and resources for AI development
Key libraries and frameworks for integrating AI in Java apps
Planning and designing AI-driven features
Identifying opportunities for AI enhancement in existing apps
Implementing retrievers in Java applications
Incorporating generative models and optimizing for Java
Characteristics and roles of enterprise AI agents
Strategies for evolving RAG systems to full AI agents
Tools and platforms for AI integration in the Java ecosystem
Best practices for utilizing Java's capabilities in AI projects
Assessing current architecture and identifying AI integration points
Techniques for gradual modernization without disrupting existing functionality
Step-by-step implementation of AI features in Java
Real-world case studies and best practices
Deploying AI-enabled Java applications at scale
Monitoring and maintaining AI performance in production environments
Emerging technologies and their implications for Java development
Preparing for future advancements in AI and their integration into Java apps
Recap of key concepts and strategies
Additional resources for continued learning in AI and Java integration
Subjects
Programming