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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spring-ai-creating-workflows-agents-and-parsing-data/
课程评论:没有评论
课程名称:Spring AI:创建工作流、代理和解析数据 课程概述:在本课程中,您将节省掉无意义的编码和无尽的试错时间。每节课都旨在提供实用知识和清晰的解释,让您在没有多余填充内容的情况下真正取得进展。作为一名中级Java开发人员,如果您渴望开始使用AI创建产品,这门课程将是您构建智能应用程序的入口。您是否对Spring Boot感到熟悉,并希望将聊天机器人、工作流自动化或智能数据处理等尖端AI功能添加到您的技能集中?本课程将理论与实践项目相结合,帮助您提升专业水平。 您将学习如何利用Spring AI(最新的Spring生态项目)无缝集成强大的AI模型(如OpenAI的GPT-4)到Java应用程序中。在“Spring AI:创建工作流、代理和解析数据”课程中,您将处理真实场景和编码练习,缩短AI与Spring开发之间的距离。通过逐步的方法,您将: - 开发AI驱动的工作流:使用Spring Boot和生成式AI API自动化应用程序中的任务和决策过程。 - 构建自主AI代理:创建可以调用API、处理数据并做出智能决策的代理(利用LangChain和Spring AI的工具集成等概念)。 - 实施高级数据解析:学习NLP技术,从非结构化数据(电子邮件、文档、日志)中提取见解,使用大型语言模型(LLMs)在Spring应用程序中实现。 - 集成流行的AI模型:将ChatGPT或其他AI服务引入您的Java项目,掌握API集成和提示工程技术。 为何要学习AI与Spring的集成?人工智能正在改变软件的构建方式,具备AI技能的Java开发人员需求旺盛。通过将Spring Boot(Java的领先框架)与AI能力结合,您可以开发出在市场中脱颖而出的创新AI驱动产品。本课程展示了如何在应用程序中添加智能聊天机器人、自动化工作流和智能数据分析器等功能的实用技巧,这些技能将加速您的职业发展。
In this course, you won't waste hours watching unfocused coding or endless trial and error. Every lesson is designed to deliver practical knowledge and clear explanations, so you can make real progress without unnecessary filler. Better a shorter and direct curse than tons of hours without giving you time to practise.If you are an intermediate Java developer eager to start creating products with AI, this course is your gateway to building intelligent applications with Spring. Are you comfortable with Spring Boot and looking to add cutting-edge AI features like chatbots, workflow automation, or smart data processing to your skillset? This course blends theory with hands-on projects to take your expertise to the next level. You'll learn how to harness Spring AI - the latest Spring ecosystem project - to seamlessly integrate powerful AI models (like OpenAI's GPT-4) into Java applications.In "Spring AI: Creating Workflows, Agents and Parsing Data," you will work on real-world scenarios and coding exercises that bridge the gap between AI and Spring development. Through a step-by-step approach, you'll:Develop AI-driven workflows: use Spring Boot and generative AI APIs to automate tasks and decision-making processes in your apps.Build autonomous AI agents: create agents that can call APIs, handle data, and make intelligent decisions (leveraging concepts like LangChain and Spring AI's tool integrations).Implement advanced data parsing: learn NLP techniques to extract insights from unstructured data (emails, documents, logs) using LLMs within Spring applications.Integrate popular AI models: bring ChatGPT, or other AI services into your Java projects, mastering API integration and prompt engineering.Why learn AI integration with Spring? Artificial Intelligence is transforming how software is built, and Java developers with AI skills are in high demand. By combining Spring Boot (Java's leading framework) with AI capabilities, you can build innovative, AI-powered products that stand out in the market. This course shows you practical techniques to add features like intelligent chatbots, automated workflows, and smart data analyzers to your applications - skills that can accelerate your career.