Building Smarter Ai Apps With Semantic Kernel

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!

Overview

Section 1: Azure AI Foundry

Lecture 1 Introduction

Lecture 2 Deploy a Model

Lecture 3 User Prompts

Lecture 4 Chat History Overview

Lecture 5 System Prompt

Lecture 6 Q&A

Section 2: Semantic Kernel Foundation

Lecture 7 Introduction

Lecture 8 First Semantic Kernel Application

Lecture 9 Prompt Execution Settings

Lecture 10 Chat History

Lecture 11 Managing Chat History

Lecture 12 Response Streaming

Lecture 13 Q&A

Lecture 14 Source Code

Section 3: Model Providers

Lecture 15 Introduction

Lecture 16 OpenAI

Lecture 17 AI Inference

Lecture 18 Free GitHub Models

Lecture 19 Hugging Face

Lecture 20 ONNX Models

Lecture 21 Standalone Instances

Lecture 22 Ollama

Lecture 23 LM Studio

Lecture 24 Q&A

Lecture 25 Source Code

Section 4: Multimodal Models

Lecture 26 Introduction

Lecture 27 Overview

Lecture 28 System Prompt

Lecture 29 Upload Images

Lecture 30 Structored Output Class Definition

Lecture 31 Structored Output Response Format

Lecture 32 Structored Output JSON

Lecture 33 Q&A

Lecture 34 Source Code

Section 5: Native Plugins

Lecture 35 Introduction

Lecture 36 Review Aspire Dashboard

Lecture 37 Integrating Semantic Kernel with ASP.NET

Lecture 38 Your First Native Plugin

Lecture 39 Weather Plugin

Lecture 40 Geocode Plugin

Lecture 41 Personal Plugin

Lecture 42 Source Code

Section 6: OpenAPI Plugins

Lecture 43 Getting Started with OpenAPI Plugins

Lecture 44 Importing OpenAPI Spec and Understanding Best Practices

Lecture 45 Parallel Function Calling

Lecture 46 Conclusion

Lecture 47 Source Code

Section 7: MCP Plugins

Lecture 48 Coming Soon

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