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 earn 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'll learn how to use the Semantic Core SDK to build 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 building generative AI solutions using Microsoft Azure tools.
  
• Development teams working on automation, virtual assistants, or advanced conversational solutions

Objectives of the AZ-2005 course

• Preparing the development environment
• Running notices with the semantic kernel
• Improved notice
• Creating native plugins for the semantic kernel
• Implementing nested functions
• Improving automation through planners

AZ-2005 Course Content: 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 notices with the semantic kernel

• Introduction
• Optimizing language model requests
  
• Using semantic kernel request templates
  
• Using handlebar request templates
  
• Store chat history
  
• Exercise: Executing semantic kernel prompts

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: Applying semantic kernel function filters

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

• Introduction
• Exercise: Creating a DevOps Wizard 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 earn 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