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Want to learn how to combine Java and AI in 2026? In this video, I share a complete Java with AI roadmap for beginners to advanced developers and show how Java developers can move into AI, Machine Learning, and Generative AI step by step. This video covers everything you need to start building AI applications using Java, including LLM integration, prompt engineering, backend architecture, and real-world projects. Youβll learn how to connect Java with AI models like GPT using APIs, control responses with prompts and parameters, and build production-ready AI backends used in real companies. π Topics to learn for Java with AI β LLM basics and how to call AI from Java using APIs β Prompt engineering (system prompts, temperature, tokens) β JSON parsing and converting AI responses into Java objects β Building secure AI service layers in Java backends β Async AI calls using CompletableFuture and Spring β Working with PDFs, files, and unstructured data using AI β Chat memory systems with database integration β Embeddings and vector databases β RAG architecture for real-world AI apps β Using LangChain4j to build chatbots and AI workflows π Build projects: β Resume Analyzer β Chatbot β Notes Summarizer β Chat Memory System This roadmap is perfect for Java developers, students, and backend engineers who want to transition into AI engineering and build modern AI-powered applications. #Java #JavaWithAI #JavaAi
