Mastering Semantic Kernel by Creating Projects

所在平台: Udemy

课程主页: https://www.udemy.com/course/mastering-semantic-kernel/

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课程简介

**课程名称:** Mastering Semantic Kernel by Creating Projects **课程概述:** 本课程是您进入 Semantic Kernel 世界的门户,这是一个强大的 Microsoft 工具,可帮助您高效、有效地将人工智能集成到您的应用程序中。通过使用 OpenAI 和 Azure OpenAI 等语言模型(LLMs),您可以增强您的开发能力。 **您将学到什么:** * **VectorStores 和 Semantic Search:** 学习如何使用 embeddings 高效地存储和检索信息,减少 token 消耗并优化查询。 * **与 OpenAI 和 Azure OpenAI 模型集成:** 使用 TextEmbeddingADA002 等技术生成 embeddings、处理文本和执行向量搜索。 * **Retrieval-Augmented Generation (RAG):** 通过结合网络搜索和向量数据库与 Semantic Kernel,提高 AI 模型的准确性。 * **使用 Plugins 进行流程自动化:** 在 C# 中实现自定义 plugins,连接外部 API 并执行专门任务。 * **使用 Semantic Kernel 进行应用程序开发:** 从交互式聊天机器人到 WordPress 内容自动生成器和播客,构建各种应用。 * **与 FFmpeg 集成:** 从视频中提取音频,使用 Whisper 转录内容,并自动生成社交媒体剪辑。 * **高级 Prompt Engineering 和 Templates:** 学习如何使用 YAML、Handlebars 和 Liquid 构建有效的 prompts,以优化 AI 交互。 **课程适合人群:** * 希望使用 .NET 和 C# 将 AI 集成到应用程序中的开发者。 * 希望通过向量搜索增强模型的数据科学家和 NLP 专家。 * 对使用 AI 生成文本、音频和图像感兴趣的内容创作者和自动化爱好者。 * 希望掌握高级 Semantic Kernel 技术及其与 OpenAI 和 Azure 集成的专业人士。 **为何选择本课程:** * **100% 实操:** 从安装到最终实现,全程涵盖真实世界项目。 * **尖端技术:** 学习利用 Semantic Kernel,这是开发 AI copilots 和智能助手 Thus 的关键 SDK。 * **实际用例:** 从智能聊天机器人到自动化的 WordPress 文章和 AI 生成的播客。 * **支持和社区:** 访问活跃的社区并获取包含最新 AI 工具的更新材料。 如果您想将 AI 推向新的高度并将其集成到真实世界项目中,那么这门课程就是为您量身定制的。立即报名,成为 Semantic Kernel 和应用 AI 专家!

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课程详情

Do you want to integrate artificial intelligence into your applications efficiently and effectively? This course is your gateway to the world of Semantic Kernel, a powerful Microsoft tool that enables you to enhance your developments with language models (LLMs) like OpenAI and Azure OpenAI.What will you learn in this course?VectorStores and Semantic Search: Learn how to use embeddings to store and retrieve information efficiently, reducing token consumption and optimizing queries.Integration with OpenAI and Azure OpenAI Models: Generate embeddings, process text, and perform vector searches using technologies like TextEmbeddingADA002.Retrieval-Augmented Generation (RAG): Improve AI model accuracy by combining web searches and vector databases with Semantic Kernel.Process Automation with Plugins: Implement custom plugins in C# to connect external APIs and perform specialized tasks.Application Development with Semantic Kernel: Build everything from interactive chatbots to automated content generators for WordPress and podcasts.Integration with FFmpeg: Extract audio from videos, transcribe content with Whisper, and generate clips for social media automatically.Advanced Prompt Engineering and Templates: Learn how to structure effective prompts using YAML, Handlebars, and Liquid to optimize AI interactions.Who is this course for?Developers looking to implement AI in their applications using.NET and C#Data scientists and NLP specialists who want to enhance their models with vector searchesContent creators and automation enthusiasts interested in generating text, audio, and images with AIProfessionals seeking to master advanced Semantic Kernel techniques and its integration with OpenAI and AzureWhy take this course?100% hands-on: Real-world projects from installation to final implementationCutting-edge technology: Learn to leverage Semantic Kernel, a key SDK for developing AI copilots and intelligent assistantsPractical use cases: From intelligent chatbots to automated WordPress posts and AI-generated podcastsSupport and community: Access an active community and updated materials featuring the latest AI toolsIf you want to take AI to the next level and integrate it into real-world projects, this course is for you.Enroll now and become an expert in Semantic Kernel and applied AI!

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