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Udemy - Mastering Semantic Kernel By Creating Projects - OneDDL - 03-05-2025 Free Download Udemy - Mastering Semantic Kernel By Creating Projects Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.29 GB | Duration: 8h 28m Learn to harness the potential of Semantic Kernel and build advanced AI applications using OpenAI and Azure OpenAI. What you'll learn Fundamentals of Semantic Kernel Kernel Creation Generating Images, Text, Audio, and Transcriptions Using AI Using Chat Histories Using and Creating Native Plugins Prompting Techniques Using Vector Stores Textual Search Requirements Basic programming knowledge (ideally in C# or .NET) Willingness to learn and experiment with Semantic Kernel and AI plugins OpenAI account or access to Azure OpenAI services Description 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! Overview Section 1: Introducción Lecture 1 What is Semantic Kernel? Lecture 2 Semantic Kernel Components Lecture 3 Benefits and Use Cases Lecture 4 Setting Up a VS 2022 Project with Semantic Kernel Section 2: The Kernel - Core Engine Lecture 5 Understanding Kernel as orchestrator Lecture 6 The Builder pattern Lecture 7 Builder Pattern Demo Lecture 8 Creating an API Key to connect to OpenAI Lecture 9 Creating an API Key to connect to Azure OpenAI Lecture 10 Creating the project, environment variables and Kernels Lecture 11 Chat Completion using Semantic Kernel Lecture 12 Chat Completion Streaming using Semantic Kernel Lecture 13 Generating images using Semantic Kernel Lecture 14 Generating Audio Files using Semantic Kernel Lecture 15 Extracting Text from Audio using Semantic Kernel Section 3: Workshop - Creating Blog Posts using Semantic Kernel Lecture 16 About the project Lecture 17 Creating the project and configuring the Kernels Lecture 18 Generating the Blog Post Lecture 19 Generating a Featured Image for the blog post Lecture 20 Generating the Blog Post Audio File Lecture 21 Publishing the content on Wordpress Section 4: Getting Started with Chat Completion Lecture 22 Using the Chat Completion Service Lecture 23 Adding Chat History Lecture 24 Multi-modal chat completion Section 5: Workshop - Creating a Multi-modal Chat Application Lecture 25 Introduction to the Section Lecture 26 Creating and setting up the project Lecture 27 Displaying chat instructions Lecture 28 Interacting with the chat service Lecture 29 Adding the ability to read images Section 6: Plugins Lecture 30 The foundation of plugins in Semantic Kernel Lecture 31 Creating Kernel Functions Lecture 32 Creating Native Plugins Lecture 33 Creating your first native plugins Lecture 34 Using built-in plugins Lecture 35 Function Calling Lecture 36 Function Calling in Semantic Kernel Lecture 37 Function Calling in Action Lecture 38 AddFromObject vs AddFromType Lecture 39 Function Choice Behavior Lecture 40 Function Invocation Lecture 41 Dealing with complete objects as parameters Lecture 42 Adding OpenAPI plugins Section 7: Workshop - Create a Video Insights app Lecture 43 Introduction to the Section Lecture 44 Creating and configuring the initial project Lecture 45 Installing ffmpeg Lecture 46 Extracting the audio file from a video file Lecture 47 Compressing the audio File for transcription Lecture 48 Implementing Speech to Text to get the transcription Lecture 49 Cutting video highlights Lecture 50 Burning subtitles Section 8: Prompts Lecture 51 Prompting fundamentals Lecture 52 Using Semantic Kernel prompt templates Lecture 53 Converting prompts to ChatHistory instances Lecture 54 Using variables in prompt templates Lecture 55 Handlebars Prompt Templates Lecture 56 Liquid Prompt Templates Lecture 57 Separating prompt templates into YAML files Section 9: Workshop - Create a Podcast Generator App Lecture 58 Introduction to the Section Lecture 59 Configuring the project Lecture 60 Input Data Collection Lecture 61 Markdown Conversion Lecture 62 Generating the first draft Lecture 63 Generating the Podcast Script Lecture 64 Generating the Conclusion Lecture 65 Podcast Generation Section 10: Memory (Vector Stores) and Text Search Lecture 66 What are Embeddings and Vector Stores? Lecture 67 Defining your Data Model Lecture 68 Generating embeddings and saving in Vector Stores Lecture 69 Performing Vector Search Lecture 70 Text Search Lecture 71 Text Search Plugins Lecture 72 Text Search Plugins - Function Calling Lecture 73 Text Search with Vector Stores Students 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: [To see links please register or login] DOWNLOAD NOW: Udemy - Mastering Semantic Kernel By Creating Projects Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable