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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spring-ai-genai/
课程评论：没有评论
课程名称: Spring AI - GenAI with Telusko 课程概述: Spring AI - Gen AI (TELUSKO) 是一门全面的课程，旨在帮助您构建智能的、基于人工智能的 Java 应用程序。该课程利用 Spring 框架中的官方模块 Spring AI，旨在将大型语言模型（LLMs）和广泛的 AI 能力无缝集成到您的 Spring Boot 项目中。您将学习如何集成多种 AI 模型，从流行的模型即服务提供商 OpenAI（GPT-4o）到开源 LLM 提供商如 Ollama（Mistral 和 Deepseek），通过 Spring AI 的标准化 API，实现出色的可移植性，减少供应商锁定。 课程的主要内容包括开发复杂的对话式 AI 系统，使用直观的 ChatClient API 和 ChatModel，使交互变得更为动态和自然。此外，您将掌握检索增强生成（RAG）技术，这一关键技术使得 LLM 能够利用外部、最新的领域特定知识。涉及到向量嵌入的深入探讨，并通过与各种向量数据库（如 PgVector、Redis 和 Spring AI 的 SimpleVectorStore）实践，确保您的 AI 响应具有相关性和准确性。 除了传统的文本 AI，课程还探索多模态应用，覆盖图像和音频处理的能力，包括文本转语音和语音转文本，扩展了创建沉浸式和互动应用的可能性。您还将学习如何通过模板和顾问进行提示工程，以增强 AI 交互，并掌握如何将原始的 AI 输出转换为结构化的 Java 对象（List、Bean、Map），以便无缝集成到您的应用程序逻辑中。 本课程特别适合希望为其 Spring Boot 应用程序添加尖端 AI 功能的 Java 开发人员、探索现代 AI 集成模式的后端开发人员，以及致力于构建下一代智能数据驱动应用程序的团队。建议具备 Spring Boot 和 Java 编程的扎实基础，以最大化学习效果。完成此课程后，您将能熟练地将先进的 AI 特性融入到您的 Spring 应用程序中，确保您在快速发展的 AI 驱动开发领域中处于领先地位。
Spring AI-Gen AI (TELUSKO)This comprehensive course on Spring AI is your gateway to building intelligent, AI-powered Java applications. It leverages Spring AI, the official module within the Spring framework, designed to seamlessly integrate Large Language Models (LLMs) and a broad spectrum of AI capabilities into your Spring Boot projects.You'll develop essential skills for integrating diverse AI models, from popular model-as-a-service provider like OpenAI (GPT-4o) to open-source LLM providers like Ollama (Mistral and Deepseek). This is achieved through Spring AI's standardized API, offering remarkable portability and minimizing vendor lock-in.A significant portion of the curriculum focuses on developing sophisticated conversational AI systems using the intuitive ChatClient API and ChatModel, enabling dynamic and natural interactions. Furthermore, you'll master Retrieval-Augmented Generation (RAG), a critical technique that empowers LLMs with external, up-to-date, and domain-specific knowledge. This involves deep dives into vector embeddings and practical experience with various vector databases like PgVector, Redis, and Spring AI's SimpleVectorStore, ensuring your AI responses are contextually relevant and accurate.Beyond conventional text-based AI, the course ventures into multimodal applications, covering capabilities like image and audio processing, including text-to-speech and speech-to-text. This expands the possibilities for creating truly immersive and interactive applications. You'll also learn the art of prompt engineering through templates and advisors for enhanced AI interactions, and crucially, how to transform raw AI outputs into neatly structured Java objects (List, Bean, Map) for seamless integration into your application's logic.This course is ideally suited for Java developers eager to add cutting-edge AI functionalities to their Spring Boot applications, backend developers exploring modern AI integration patterns, and teams dedicated to building the next generation of intelligent, data-driven applications. A solid foundation in Spring Boot and Java programming is recommended to maximize your learning experience. By completing this course, you will be well-equipped to transform your Spring applications with advanced AI features, ensuring you remain at the forefront of the rapidly evolving AI-driven development landscape.
