Master Generative AI using Spring boot

Master Generative AI using Spring Boot is your complete guide to building powerful, production-ready AI applications using Java and the Spring Boot framework. In this hands-on course, you’ll learn how to integrate cutting-edge generative AI models—such as OpenAI's GPT for chat, Image models like Dall-e, Audio models and custom LLMs—directly into scalable backend services.

Whether you are developing chatbots, AI-powered recommendation engines, or intelligent document summarizers, this course will show you how to bridge the gap between generative AI capabilities and enterprise-grade software development.

What You'll Learn

• The fundamentals of generative AI and LLMs (large language models)

• How to work with APIs like OpenAI - Chat, Image and Audio

• Creating secure and scalable REST APIs using Spring Boot

• Storing and querying vector embeddings using vector databases (e.g., Postgres Vector Database)

• Using prompt engineering and retrieval-augmented generation (RAG)

Who This Course is For

• Java/Spring developers curious about integrating AI

• Backend engineers looking to expand into AI application development

• Software architects building intelligent microservices

• Tech enthusiasts wanting real-world AI project experience

Key Skills You’ll Gain:

• Generative AI fundamentals and APIs (OpenAI Chat, Image and Audio)

• Spring Boot for backend service development

• Embedding and vector database integration (FAISS, Qdrant, etc.)

• Prompt engineering and RAG techniques

No prior AI/ML background required—this course bridges the world of traditional backend development and modern generative AI, one step at a time.