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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gen-ai-spring/
课程评论：没有评论
课程名称：使用Java和Spring Boot掌握生成性人工智能 课程概述： 欢迎参加“使用Java和Spring Boot掌握生成性人工智能”课程，这是针对希望在应用程序中利用人工智能（AI）功能的Java和Spring开发者的终极课程。此课程旨在赋予您使用Spring AI和Spring生态系统构建智能、丰富功能的应用程序所需的技能和知识。 为什么选择本课程？ 人工智能正在通过自动化复杂任务、个性化用户体验和推动创新来转变各行各业。对于Java/Spring开发者来说，将AI集成到应用程序中不再是可选项，而是未来的发展方向。本课程弥合了AI与Spring开发之间的差距，使您能够无缝创建AI驱动的应用程序。 您将学习到的内容： 模块1：Spring AI简介 - 探索AI在医疗、电子商务、自动化和安全等行业中的现代应用。 - 理解AI在Spring生态系统中的角色，包括AI模型集成、自然语言处理（NLP）和机器学习（ML）。 - 学习Spring AI的核心功能，如自然语言理解、图像生成、语音合成和增强搜索。 - 设置开发环境并创建第一个具有AI能力的Spring Boot应用程序。 模块2：在Spring中使用AI模型 - 将预训练的AI模型集成到您的Spring应用程序中。 - 使用ChatModel、ChatClient和PromptTemplate等高级工具构建API。 - 探索各种提示类型及其在AI驱动交互中的使用案例。 - 学习低级和高级API集成，包括基于实体和BeanConverter实现。 模块3：提示工程 - 掌握提示工程的艺术，以优化与AI模型的交互。 - 学习为语言模型编写精准提示的技巧。 - 发现有效提示工程的实际应用和案例研究。 模块4：与DALL-E和音频模型的Spring AI（多模态） - 使用DALL-E生成和处理图像。 - 创建文本到图像、图像到文本和音频处理任务的API。 - 实现翻译和文本到语音功能以支持语音启用的应用。 模块5：使用Spring AI的检索增强生成（RAG） - 深入理解检索增强生成（RAG）及其在AI驱动应用中的重要性。 - 使用Spring AI和向量存储实现RAG，以增强搜索和上下文响应。 - 探索诸如文档摘要、个性化推荐和知识检索等用例。 模块6：构建项目 - 应用您的知识，构建实际的、端到端的AI驱动应用程序。 - 参与整合AI模型与现实世界数据集和用例的实战项目。 模块7：真实项目 - 深入参与真实项目，以巩固您的技能并获得构建行业级AI应用的经验。 课程特色： - 逐步的教程和实用示例。 - 真实的案例、实战项目和编码练习。 - 深入了解如何将AI技术（如NLP、DALL-E和RAG）与Spring Boot集成的详细 Insights。 - 部署可扩展AI解决方案的指导。 适合人群： - 渴望将AI集成到其应用程序中的Java和Spring开发者。 - 希望学习如何在Spring生态系统中使用先进AI模型的AI爱好者。 - 希望在快速发展的技术领域中保持竞争力的软件工程师。 先决条件： - 具备基础的Java和Spring框架知识。 - 熟悉REST API和Spring Boot。 - 对探索AI技术及其应用保持好奇。 您将获得的收益： 通过本课程结束时，您将具备使用Spring AI构建、部署和维护AI驱动应用程序的专业知识。您将被赋能解决现实世界中的问题，创造创新的解决方案，为您的软件开发职业开启新的机会。现在就加入我们，解锁AI在您的Spring应用中的潜力！
Welcome to Master Generative AI with Java and Spring Boot Spring AI, the ultimate course for Java and Spring developers looking to harness the power of Artificial Intelligence (AI) in their applications. This comprehensive course is tailored to empower you with the skills and knowledge to build intelligent, feature-rich applications using Spring AI and the Spring ecosystem.Why This Course?AI transforms industries by automating complex tasks, personalizing user experiences, and driving innovation. As a Java/Spring developer, integrating AI into your applications is no longer optional-it's the future. This course bridges the gap between AI and Spring development, enabling you to create AI-powered applications seamlessly.What You'll Learn:Module 1: Introduction to Spring AIExplore how AI is shaping modern applications across industries, including healthcare, e-commerce, automation, and security.Understand the role of AI in the Spring ecosystem, including AI model integration, natural language processing (NLP), and machine learning (ML).Learn the core capabilities of Spring AI, such as natural language understanding, image generation, voice synthesis, and enhanced search.Set up your development environment and create your first Spring Boot application with AI capabilities.Module 2: Working with AI Models in SpringIntegrate pre-trained AI models into your Spring applications.Build APIs using advanced tools like ChatModel, ChatClient, and PromptTemplate.Explore various prompt types and their use cases in AI-driven interactions.Learn low-level and high-level API integrations, including Entity-based and BeanConverter implementations.Module 3: Prompt EngineeringMaster the art of prompt engineering to optimize AI model interactions.Learn techniques to craft precise prompts for language models.Discover real-world applications and case studies for effective prompt engineering.Module 4: Spring AI with DALL-E and Audio Models (Multimodality)Work with DALL-E to generate and manipulate images.Create APIs for text-to-image, image-to-text, and audio processing tasks.Implement translation and text-to-speech features for voice-enabled applications.Module 5: Retrieval-Augmented Generation (RAG) with Spring AIGain a deep understanding of Retrieval-Augmented Generation (RAG) and its significance in AI-driven applications.Implement RAG with Spring AI and Vector Stores for enhanced search and contextual responses.Explore use cases like document summarization, personalized recommendations, and knowledge retrieval.Module 6: Building ProjectsApply your knowledge to build practical, end-to-end AI-powered applications.Work on hands-on projects integrating AI models with real-world datasets and use cases.Module 7: Real-World ProjectsDive into real-world projects to solidify your skills and gain experience in building industry-grade AI applications.Key Features of This Course:Step-by-step tutorials with practical examples.Real-world use cases, hands-on projects, and coding exercises.Detailed insights into integrating AI technologies like NLP, DALL-E, and RAG with Spring Boot.Guidance on deploying scalable AI solutions in production.Who Should Enroll?Java and Spring developers eager to integrate AI into their applications.AI enthusiasts who want to learn how to work with advanced AI models in a Spring ecosystem.Software engineers looking to stay ahead in the evolving tech landscape by mastering AI-powered application development.Prerequisites:Basic knowledge of Java and Spring Framework.Familiarity with REST APIs and Spring Boot.Curiosity to explore AI technologies and their applications.What You'll Gain:By the end of this course, you'll have the expertise to build, deploy, and maintain AI-powered applications using Spring AI. You'll be equipped to solve real-world problems and create innovative solutions, opening up exciting opportunities in your career as a software developer.Join now and unlock the power of AI in your Spring applications!
