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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-smarter-ai-apps-with-semantic-kernel/
课程评论：没有评论
课程名称：使用语义内核构建更智能的 AI 应用程序 课程概述： 本课程旨在帮助开发者掌握使用微软强大的语义内核框架进行 AI 应用程序开发的全面技能。随着技术的迅速发展，AI 的整合已从奢侈品转变为现代应用程序的必需品。本课程为您提供实践技能和理论知识，使您成为希望利用 AI 变革潜力的开发团队或组织的重要资产。 课程内容涵盖了大语言模型（LLMs）的基础知识，随后深入学习 Azure AI Foundry 的强大功能，了解如何根据特定需求部署、定制和优化 OpenAI 模型。您将探索模型部署策略、创建有效的用户提示、管理聊天历史以及制作产生最佳结果的系统提示。 课程核心关注语义内核的多功能框架，教您如何与多个模型提供商无缝连接，包括 Azure OpenAI、标准 OpenAI 端点和各种推理 API。同时，您将掌握通过 ONNX、Ollama 和 Hugging Face 集成本地模型，从而提供最大的灵活性。 此外，您将学习多种方式创建智能插件，包括： - 构建直接与应用程序功能集成的原生插件 - 创建利用现有 API 端点的 OpenAPI 插件，以扩展 AI 能力 - 实现先进的模型上下文协议 (MCP) 服务器，以增强模型交互 实践实施贯穿整个课程，特别强调在 ASP.NET 应用程序中集成语义内核的部分，并处理多模态模型以处理文本、图像等各种数据类型。 无论您是希望在工具包中添加 AI 能力的资深开发者，还是寻求利用 AI 获取数据驱动洞察的商业分析师，这门课程都为您提供了理论理解与实践应用开发的完美平衡。您无需 extensive AI 背景，只需具备基本的 .NET 知识，做好构建下一代智能应用程序的准备，这些应用程序将改变用户体验、简化操作并解锁新的商业机会！
Master AI Application Development with Semantic Kernel: The Comprehensive Developer's JourneyTransform your development skills and applications with cutting-edge AI capabilities! This immersive course takes you on a comprehensive journey from fundamental AI concepts to building sophisticated, intelligent applications using Microsoft's powerful Semantic Kernel framework.In today's rapidly evolving technological landscape, AI integration has moved from a luxury to a necessity for modern applications. This course equips you with the practical skills and theoretical knowledge to stay ahead of the curve, making you an invaluable asset to any development team or organization looking to leverage AI's transformative potential.Begin your AI mastery journey with a solid foundation in Large Language Models (LLMs) before diving into the robust capabilities of Azure AI Foundry, where you'll learn to deploy, customize, and optimize OpenAI models for your specific needs. You'll explore model deployment strategies, create effective user prompts, manage chat history, and craft system prompts that yield optimal results.The core of the course focuses on Semantic Kernel's versatile framework, teaching you to seamlessly connect with multiple model providers including Azure OpenAI, standard OpenAI endpoints, and various Inferencing APIs. You'll also master working with local models through ONNX, Ollama, and Hugging Face integrations-giving you ultimate flexibility in your AI implementation approach.Take your applications to new heights by learning to create intelligent plugins through multiple approaches:Building native plugins that integrate directly with your application's functionalityCreating OpenAPI plugins that leverage existing API endpoints to extend AI capabilitiesImplementing cutting-edge Model Context Protocol (MCP) servers for enhanced model interactionsPractical implementation is emphasized throughout, with dedicated sections on integrating Semantic Kernel into ASP.NET applications and working with multimodal models to handle various data types including text, images, and more.Whether you're a seasoned developer looking to add AI capabilities to your toolkit, or a business analyst seeking to leverage AI for data-driven insights, this course provides the perfect balance of theoretical understanding and hands-on application development.No extensive AI background required-just bring your basic.NET knowledge and prepare to build the next generation of intelligent applications that will transform user experiences, streamline operations, and unlock new business opportunities!
