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By the end of this course, learners will be able to provision and configure Azure OpenAI Service, design and optimize prompts for text and chat-based generative AI solutions, integrate Azure OpenAI models into applications using APIs, manage data grounding and content filtering, apply security, privacy, and responsible AI principles, and deploy scalable generative AI solutions within Azure environments. These capabilities enable learners to build production-ready AI solutions aligned with organizational and compliance requirements.

1 - Get started with AI agent development on Azure

  • What are AI agents?
  • Options for agent development
  • Azure AI Agent Service
  • Module assessment

2 - Develop an AI agent with Azure AI Agent Service

  • What is an AI agent
  • How to use Azure AI Agent Service
  • Develop agents with the Azure AI Agent Service
  • Module assessment

3 - Integrate custom tools into your agent

  • Why use custom tools
  • Options for implementing custom tools
  • How to integrate custom tools
  • Module assessment

4 - Develop an AI agent with Semantic Kernel

  • Understand Semantic Kernel AI agents
  • Create an Azure AI agent with Semantic Kernel
  • Add plugins to Azure AI agent

5 - Orchestrate a multi-agent solution using Semantic Kernel

  • Understand the Semantic Kernel Agent Framework
  • Create an agent group chat
  • Design an agent selection strategy
  • Define a chat termination strategy

Developers, AI engineers, solution architects, data professionals, and IT staff responsible for building or integrating generative AI solutions

Instructor-led training, course materials

Basic knowledge of Azure, familiarity with REST APIs, and foundational understanding of AI or machine learning concepts

Microsoft Learn: Azure OpenAI Service Documentation

This course prepares learners for the Microsoft Applied Skills assessment: Build and Deploy Generative AI Solutions Using Azure OpenAI Service (AI-3026). The assessment is hands-on and performance-based, requiring candidates to complete real-world tasks in a live Azure environment. Learners are evaluated on their ability to configure Azure OpenAI resources, implement prompt engineering techniques, integrate generative AI models into applications, apply content safety controls, and deploy secure and scalable solutions. Successful completion validates practical, job-ready skills in generative AI development on Azure

Proctored Exam
Microsoft Applied Skills: Build and Deploy Generative AI Solutions Using Azure OpenAI Service

After completing this course, learners can progress to advanced Azure AI engineering, Copilot and Azure OpenAI integrations, or pursue Azure AI Engineer and Power Platform AI-focused certifications.

Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

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We Are Here To Help You Pass

All of our trainers have achieved exceptionally high delegate pass rates for accredited examinations for all our courses. We also offer complimentary pre and post-course support for any questions you may have.

We Are Flexible

We try and be as flexible as we can and accommodate your needs. We can swap delegates at any time with no charge. We can also create bespoke content should this be required.

We Are The Specialists

We specialise in IT Service and Project Management. All of our Trainers and Consultants have considerable years of hands-on experience in IT Service / Project Management, working across a wide number of industry sectors.

We Are Professionals

Our training, sales and admin staff are all professional, helpful, friendly and approachable. We believe in providing excellent customer service. You will always have a dedicated friendly Account Manager

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AI-3026: Develop AI agents on Azure [Cloud Slice Provided] Course Dates

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