AI Application Development with Spring Boot

Duration:
5 Days

The AI Application Development with Spring Boot course is designed for software engineers who want to integrate Artificial Intelligence into enterprise-grade applications using Java technologies.

This course combines core AI concepts with the Spring ecosystem, enabling participants to build intelligent, scalable applications. It covers generative AI fundamentals, prompt engineering, embeddings, vector search, and retrieval-augmented generation (RAG), alongside Spring Boot development practices.

Participants will also explore Spring AI, model integration, and agentic AI concepts, learning how to design and develop context-aware systems. By the end of the course, learners will be able to build and deploy AI-powered applications using modern architectures and tools.

Course Objectives

  • Understand key AI concepts including generative AI, LLMs, and embeddings
  • Apply prompt engineering techniques in application development
  • Build RESTful applications using Spring Boot
  • Integrate AI models into Java-based applications
  • Implement retrieval-augmented generation (RAG) with vector databases
  • Design intelligent and context-aware systems using Spring AI
  • Develop and deploy AI-powered enterprise applications
  • Course Features

  • Integration of AI concepts with enterprise Java development
  • Hands-on development using Spring Boot and Spring AI
  • Practical implementation of RAG, embeddings, and vector search
  • Exposure to tools such as OpenAI, Hugging Face, and Ollama
  • Focus on building scalable, production-ready AI applications
  • Who Should Attend

  • Java developers and software engineers
  • Backend developers working with Spring Boot
  • Technical professionals integrating AI into enterprise systems
  • Developers building intelligent APIs and applications
  • Teams working on AI-powered enterprise solutions
  • We’re committed to helping you achieve your professional goals. 

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