Develop AI Agents Using Azure OpenAI and the Semantic Kernel SDK (AZ-2005)

Course 8720

  • Duration: 1 day
  • Language: English
  • Level: Foundation

This collection of modules introduces you to the Semantic Kernel SDK, Microsoft’s open-source framework that bridges AI large language models with traditional programming. You’ll learn how to build your own kernel, create and run prompts, develop plugins, apply function filters for security and control, and put your skills into action by building a proof-of-concept AI-powered DevOps assistant.

Develop Azure OpenAI AI Agents Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Develop Azure OpenAI AI Agents Training Information

Benefits of Attending

  • Hands-on AI development: Gain practical experience building and extending AI applications using the Semantic Kernel SDK.
  • Custom AI capabilities: Learn to create plugins and filters to design AI agents with specialized skills.
  • Secure & reliable AI: Understand how to safeguard against prompt injection and apply filters for controlled execution.
  • Real-world application: Apply your learning by developing a functional DevOps assistant that demonstrates the SDK in action.
  • Boost technical credibility: Earn XP and show practical knowledge in one of Microsoft’s most innovative AI frameworks.

Training Prerequisites

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

Develop Azure OpenAI AI Agents Training Outline

Module 1: Build Your Kernel

  • Introduction
  • What is Semantic Kernel
  • Why use Semantic Kernel
  • How to build your kernel
  • Exercise – Build a kernel object

Module 2: Run Prompts with Semantic Kernel

  • Introduction
  • Optimize language model prompts
  • Use Semantic Kernel prompt templates
  • Use Handlebars prompt templates
  • Store chat history
  • Exercise – Run Semantic Kernel prompts

Module 3: Create Semantic Kernel Plugins

  • Introduction
  • Understand native plugins
  • Configure function choices
  • Exercise – Create Semantic Kernel plugins

Module 4: Apply Filters on Functions

  • Introduction
  • Understand prompt injections
  • Filter invoked functions
  • Exercise – Apply Semantic Kernel function filters

Module 5: Guided Project – Create a DevOps Assistant

  • Introduction
  • Exercise – Create a DevOps Assistant with the Semantic Kernel SDK

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Develop Azure OpenAI AI Agents FAQs

No. Applied Skills credentials are not replacing Certifications. We are expanding our credentialing portfolio to better meet the needs of our learners and customers by allowing people to validate very specific skill sets with this new offering.

Certifications are role-based and evaluate a broader range of skills needed to be successful in critical roles that organizations need to be successful in today’s rapidly changing technical environment.

Applied Skills credentials are scenario-based and evaluate a narrower skill set specific to a critical business problem or challenge that organizations are facing.

If you want to demonstrate that you have the range of skills needed to succeed in a given job role, a Certification is the right way to go. If you want to validate your skills on a specific business problem or scenario your organization faces, an Applied Skills credential will make more sense.

Here are some key differentiators between Certifications and Applied Skills:

  • Breadth of skills validated: Certifications typically validate 4-6 skill sets, while Applied Skills validate one specific skill set.
  • Focus: Certifications are job role-based, while Applied Skills are product-based.
  • Purpose: Certifications are intended to validate skills needed for the technical aspects of job roles that leverage Microsoft solutions and technologies. Applied Skills are intended to validate specific scenarios that may be hindering an organization’s digital transformation goals.

Many of the Applied Skills credentials can be used to help you prepare for Certification exams. Because Applied Skills are awarded based on performance within a lab, that experience may set you up for success on a Certification. All role-based Certification exams require experience, so earning an Applied Skills credential is one way to get some of the experience needed to pass the exam. However, not all skills assessed on a Certification exam will have an associated Applied Skills assessment lab, so you should not rely on Applied Skills alone. Visit how to prepare for a Certification exam.

If you want to demonstrate that you have skill sets that were not assessed by the Certification, are Certification “adjacent,” or are needed for a specific project that you would like to do or are working on. An Applied Skill credential would be a great way to show your employer and peers that you have those skills and the skills validated by your Certification.

It depends on your technical expertise and why you want to earn a Microsoft credential.

If you are exploring technology or just beginning your learning journey in technology, starting with a fundamentals certification makes the most sense because it focuses on ensuring you have the foundational knowledge you need to get started in technology.

If you have experience and want to explore how Microsoft technologies and solutions are used to solve critical business problems, an Applied Skills credential is a great way to validate fundamental world skills focused on specific projects or scenarios.

If you have some experience and are pursuing a job that leverages Microsoft solutions, a role-based certification is the logical solution to validate role-based skills. Note that some Applied Skills credentials relate to our certifications and may provide another way to prepare for a certification exam.

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