AZ-2005: Develop generative AI apps with Azure OpenAI and Semantic Kernel

AZ-2005 Course: Develop AI agents using Microsoft Azure OpenAI and Semantic Kernel

To obtain this Microsoft Applied Skills credential, students must demonstrate the ability to develop AI agents using Azure OpenAI Service and the Semantic Kernel SDK .

In this course you will learn how to use the Semantic Core SDK to create intelligent applications that automate tasks and perform natural language processing.

Level: Intermediate - Role: Engineer, AI Developer - Product: Azure OpenAI Service - Subject: Natural Language Processing

Course aimed at

• Software developers with experience in C# and Visual Studio Code, who want to integrate language models into their applications.
  
• AI engineers seeking to build intelligent agents that interact with users and systems using natural language.
  
• Technical professionals interested in creating generative AI solutions using Microsoft Azure tools.
  
• Development teams working on automation, virtual assistants, or advanced conversational solutions

Course Objectives AZ-2005

• Preparation of the development environment
• Executing notices with the semantic kernel
• Notice improvement
• Creating native plugins for the semantic kernel
• Implementation of nested functions
• Improving automation through planners

Course content AZ-2005: Develop generative AI applications

Module 1. Kernel Compilation

• Introduction
  
• What is the semantic kernel?
  
• Why use the semantic kernel?
  
• How to compile the kernel
  
• Exercise: Creating the connection point
  
• Exercise: Compiling a kernel object

Module 2. Executing notifications with the semantic kernel

• Introduction
• Language model request optimization
  
• Using semantic kernel request templates
  
• Using Handlebars request templates
  
• Store chat history
  
• Exercise: Execute semantic kernel instructions

Module 3. Creating semantic kernel plugins

• Introduction
• Description of native plugins
  
• Configure function options
  
• Exercise: Creating semantic kernel plugins

Module 4. Applying filters to functions

• Introduction
  
• Description of message injections
  
• Filter invoked functions
  
• Exercise: Application of kernel semantic function filters

Module 5. Guided Project: Creating a DevOps Assistant with the Semantic Kernel SDK

• Introduction
• Exercise: Creating a DevOps Assistant with the Semantic Kernel SDK
  

Prerequisites

It is recommended to have:

• Experience programming in C#.
• Visual Studio Code IDE installed.
  
• Familiarity with Azure and the Azure portal.
  
• Access to Azure OpenAI.

Language

• Course: English / Spanish
• Labs: English / Spanish

Microsoft Applied Skills

This course is part of the Microsoft Applied Skills Credentials.

To obtain this Microsoft Applied Skills credential, students must demonstrate the ability to develop AI agents using Azure OpenAI Service and the Semantic Kernel SDK.

Applied Skills: Explore all credentials in one guide