AZ-2005: Develop AI agents using Azure OpenAI and the Semantic Kernel SDK Course Overview

Embrace the future of AI with AZ-2005: Develop AI Agents using Azure OpenAI and the Semantic Kernel SDK. This hands-on course provides developers with the opportunity to build intelligent, conversational AI agents using Microsoft Semantic Kernel SDK and the Azure OpenAI capabilities. You will learn how to build applications that use natural language processing, define custom plug-ins, and leverage intelligent planning, with real-world use cases including virtual assistants, automating tasks, AI powered decision tools, etc. 

Through instructor led, guided exercises you will use the Semantic Kernel SDK to build, extend and optimize your own AI agents and gain hands-on experience with prompt engineering and function chaining.  Regardless of whether you're a developer working on your own or as part of a tech-disrupting enterprise, this course is designed for you and to engender confidence to innovate. 

The training is to be delivered by SSDN Technologies: Best IT Training Company, which presents the assurance of a high-quality learning experience that is informed by current and industry experience. This course is best suited to C# developers with an understanding of working in Azure and Visual Studio Code, allowing you to join company at the cutting edge of modern AI Development. 


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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of Azure services and cloud concepts
  • Familiarity with programming languages (C#, Python, or JavaScript)
  • Understanding of REST APIs and SDK usage
  • Prior exposure to AI/ML concepts (preferred but not mandatory)
  • An active Azure subscription for hands-on practice

Learning Objectives

The AZ-2005 course equips learners with the skills to develop intelligent AI agents using Azure OpenAI and the Semantic Kernel SDK. Participants will explore how to design, integrate, and deploy AI-powered applications that leverage natural language capabilities. With hands-on labs and practical guidance, this course enables professionals to build scalable, context-aware solutions, empowering organizations to harness the full potential of AI within the Azure ecosystem.

Target Audience

  • Software developers and engineers working with AI-driven applications
  • Cloud solution architects and AI practitioners
  • Data scientists and ML engineers exploring Azure OpenAI capabilities
  • Technical leads and IT professionals aiming to integrate AI into enterprise systems
  • Students or professionals interested in building intelligent agents with Azure and Semantic Kernel

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