riversongs Posted March 5 Report Share Posted March 5 Free Download Udemy - Mastering Semantic Kernel By Creating ProjectsPublished: 3/2025MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.29 GB | Duration: 8h 28mLearn to harness the potential of Semantic Kernel and build advanced AI applications using OpenAI and Azure OpenAI.What you'll learnFundamentals of Semantic KernelKernel CreationGenerating Images, Text, Audio, and Transcriptions Using AIUsing Chat HistoriesUsing and Creating Native PluginsPrompting TechniquesUsing Vector StoresTextual SearchRequirementsBasic programming knowledge (ideally in C# or .NET)Willingness to learn and experiment with Semantic Kernel and AI pluginsOpenAI account or access to Azure OpenAI servicesDescriptionDo 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!OverviewSection 1: IntroducciónLecture 1 What is Semantic Kernel?Lecture 2 Semantic Kernel ComponentsLecture 3 Benefits and Use CasesLecture 4 Setting Up a VS 2022 Project with Semantic KernelSection 2: The Kernel - Core EngineLecture 5 Understanding Kernel as orchestratorLecture 6 The Builder patternLecture 7 Builder Pattern DemoLecture 8 Creating an API Key to connect to OpenAILecture 9 Creating an API Key to connect to Azure OpenAILecture 10 Creating the project, environment variables and KernelsLecture 11 Chat Completion using Semantic KernelLecture 12 Chat Completion Streaming using Semantic KernelLecture 13 Generating images using Semantic KernelLecture 14 Generating Audio Files using Semantic KernelLecture 15 Extracting Text from Audio using Semantic KernelSection 3: Workshop - Creating Blog Posts using Semantic KernelLecture 16 About the projectLecture 17 Creating the project and configuring the KernelsLecture 18 Generating the Blog PostLecture 19 Generating a Featured Image for the blog postLecture 20 Generating the Blog Post Audio FileLecture 21 Publishing the content on WordpressSection 4: Getting Started with Chat CompletionLecture 22 Using the Chat Completion ServiceLecture 23 Adding Chat HistoryLecture 24 Multi-modal chat completionSection 5: Workshop - Creating a Multi-modal Chat ApplicationLecture 25 Introduction to the SectionLecture 26 Creating and setting up the projectLecture 27 Displaying chat instructionsLecture 28 Interacting with the chat serviceLecture 29 Adding the ability to read imagesSection 6: PluginsLecture 30 The foundation of plugins in Semantic KernelLecture 31 Creating Kernel FunctionsLecture 32 Creating Native PluginsLecture 33 Creating your first native pluginsLecture 34 Using built-in pluginsLecture 35 Function CallingLecture 36 Function Calling in Semantic KernelLecture 37 Function Calling in ActionLecture 38 AddFromObject vs AddFromTypeLecture 39 Function Choice BehaviorLecture 40 Function InvocationLecture 41 Dealing with complete objects as parametersLecture 42 Adding OpenAPI pluginsSection 7: Workshop - Create a Video Insights appLecture 43 Introduction to the SectionLecture 44 Creating and configuring the initial projectLecture 45 Installing ffmpegLecture 46 Extracting the audio file from a video fileLecture 47 Compressing the audio File for transcriptionLecture 48 Implementing Speech to Text to get the transcriptionLecture 49 Cutting video highlightsLecture 50 Burning subtitlesSection 8: PromptsLecture 51 Prompting fundamentalsLecture 52 Using Semantic Kernel prompt templatesLecture 53 Converting prompts to ChatHistory instancesLecture 54 Using variables in prompt templatesLecture 55 Handlebars Prompt TemplatesLecture 56 Liquid Prompt TemplatesLecture 57 Separating prompt templates into YAML filesSection 9: Workshop - Create a Podcast Generator AppLecture 58 Introduction to the SectionLecture 59 Configuring the projectLecture 60 Input Data CollectionLecture 61 Markdown ConversionLecture 62 Generating the first draftLecture 63 Generating the Podcast ScriptLecture 64 Generating the ConclusionLecture 65 Podcast GenerationSection 10: Memory (Vector Stores) and Text SearchLecture 66 What are Embeddings and Vector Stores?Lecture 67 Defining your Data ModelLecture 68 Generating embeddings and saving in Vector StoresLecture 69 Performing Vector SearchLecture 70 Text SearchLecture 71 Text Search PluginsLecture 72 Text Search Plugins - Function CallingLecture 73 Text Search with Vector StoresStudents and professionals who want to expand their toolkit for building intelligent applications with natural language processing.,Entrepreneurs and AI solution creators interested in leveraging AI service capabilities.,Developers who want to integrate AI into their applications.,Anyone interested in building applications with advanced AI capabilities.Homepage: https://www.udemy.com/course/mastering-semantic-kernel/ DOWNLOAD NOW: Udemy - 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