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Mastering Spring AI with Java A Practical Developer Guide - CoursesToday - 10-02-2025

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Free Download Mastering Spring AI with Java A Practical Developer Guide
Published 10/2025
Created by Infiproton Tech,Harish B N
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 38 Lectures ( 2h 33m ) | Size: 1.25 GB

Build AI apps with Spring AI & Java: prompts, memory, function calling, RAG & image generation
What you'll learn
Build AI-powered apps using Spring AI with Java & Spring Boot.
Master prompt engineering with system, user, assistant messages and Prompt Templates
Work with memory & context to create multi-turn, human-like conversations.
Implement function calling & tools for real-world tasks like weather APIs, and Database integrations.
Apply RAG techniques to query PDFs and multiple documents with vector stores.
Learn best practices for scalable, production-ready AI integrations.
Work with images - captioning, image generation, and styling images.
Requirements
Basic knowledge of Java programming
Familiarity with Spring Boot (controllers, services, configs).
An IDE like IntelliJ IDEA or VS Code installed.
An OpenAI API key (free/paid) to follow hands-on examples.
Curiosity to explore how AI integrates with real apps.
Description
Mastering Spring AI with Java helps Java and Spring Boot developers build intelligent, AI-powered applications. This hands-on course takes you step by step from setting up your first Spring AI project to implementing advanced features like prompt engineering, memory, function calling, retrieval-augmented generation (RAG), and multimodal AI.Spring AI enables developers to create context-aware applications that can handle complex tasks, maintain conversation history, interact with real-world data, and even process images. With practical examples and real demos, this course guides you through the essential tools and techniques needed to bring AI into your Spring Boot projects.What you'll learn舔舌头rompt Engineering: Craft effective prompts, use templates, and generate structured outputs.Memory & Context: Build multi-turn conversations that remember user input and maintain continuity.Function Calling: Integrate AI with real-world data and services, handle structured results, and manage errors.Retrieval-Augmented Generation (RAG): Query documents, work with persistent vector stores, and handle multi-document knowledge.Image Handling: Caption, generate, and style images to create multimodal AI applications.Production-Ready Practices: Learn best practices for building scalable and maintainable AI-powered applications.By the end of this course, you'll have practical skills to confidently integrate AI features into your Java and Spring Boot applications. Whether you want to build chatbots, knowledge assistants, or advanced AI-powered apps, this course gives you the tools and guidance to start building real-world AI applications today.
Who this course is for
Java developers who want to build AI-powered applications
Spring Boot engineers exploring generative AI and LLMs
Backend developers interested in RAG, function calling, and multimodality
Software developers curious about AI-powered chatbots and assistants.
Tech leads or architects aiming to build scalable AI features in Spring Boot.
Anyone interested in combining enterprise Java with modern AI workflows.
Homepage
https://www.udemy.com/course/mastering-spring-ai/

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