Building Smarter Ai Apps With Semantic Kernel
Published 5/2025
Created by Randy Patterson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 48 Lectures ( 4h 55m ) | Size: 2.46 GB
Creating AI-Powered Applications with Custom Skills, Planners, and Natural Language Interfaces
What you'll learn
Learn the basics of AI and Large Language Models (LLMs)
Gain Proficiency with Azure AI Foundry and deploying OpenAI Models
Understand the core concepts of the Semantic Kernel Framework
Learn how to use Semantic Kernel to connect to many different models and model providers including Azure OpenAI, OpenAI, Inferencing API
Learn how to use Semantic Kernel to connect to local models using ONNX, Ollama and Hugging Face
Gain proficiency by learning how to use Semantic Kernel with ASP.NET
Attain expert proficiency in creating Semantic Kernel plugins and function calling, adhering to industry best practices
Learn to quickly create Plugins using existing API Endpoints
Understand the power of integrating Model Context Protocol (MCP) servers into Semantic Kernel
Requirements
Basic .NET, C# and ASP.NET experience helpful by not necessary
Visual Studio, VS Code or other .NET IDE
Azure Subscription helpful but not required
Description
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!
Who this course is for
Developers and Software Engineers looking to improve their AI skills by leveraging Semantic Kernel to create AI Infused Applications
Business Analysts and Project Managers interested in leveraging AI for Converting Data into Actionable Insights and Optimizing Business Processes
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