SKU: MS-AI102T00 Category: Microsoft Data & AI Brand: Microsoft Training

Develop AI Apps and Agents on Azure

Name: Develop AI Apps and Agents on Azure - Data4Every1
SKU: MS-AI102T00
Price: 11900.00 ZAR
Availability: InStock

Prepare your development teams for AI-driven application development. This course covers how to build generative AI apps, AI agents and intelligent solutions on Azure using Microsoft Foundry, knowledge connections, tools and multimodal capabilities.

R11,900.00 Excl. VAT

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Microsoft Training Outline

Build your organisation’s AI development capability by upskilling software engineers to design, manage and deploy AI solutions using Microsoft Foundry. This course is designed for technical teams with experience in Python, APIs and SDKs who want to develop generative AI solutions and AI agents on Azure.

Teams will need a foundation in AI concepts, Azure services, and programming, along with familiarity with Azure and the Azure portal.

After completing this course, your development teams will be able to develop generative AI applications using Microsoft Foundry and Azure AI services, build and deploy AI agents that interact intelligently with users, implement knowledge connections and tool integrations within agentic applications, create natural language AI solutions and leverage multimodal AI to analyse and extract insights from complex visual and content-based data.

Discover more

Download Outline ➤ MS-AI103T00 Develop AI apps and agents on Azure

Watch an informative video ➤ Introducing new deployment and cost management solutions for Azure OpenAI Service

Associated Certification & Exam

This course will prepare delegates to write the AI-103 Microsoft Certification exam: Azure AI Apps and Agents Developer Associate

COURSE CONTENT

Module 1: Develop generative AI apps in Azure

Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to interact with your users.

Module 1.1: Plan and prepare to develop AI solutions on Azure

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you’ll use and creating an optimal working environment for your development team.

Module 1.2: Select, deploy, and evaluate Microsoft Foundry models

Explore how to select appropriate models from the model catalog using benchmarks, deploy them to endpoints, and evaluate their performance using manual and automated approaches in Microsoft Foundry portal.

Module 1.3: Develop a generative AI chat app with Microsoft Foundry

Use Microsoft Foundry to develop generative AI chat applications with projects and the Responses API.

Module 1.4: Develop generative AI apps that use tools

Tools enable models to perform tasks and interact with external systems, enabling them to extend their capabilities beyond basic chat interactions.

Module 1.5: Optimize generative AI model performance with Microsoft Foundry

Explore complementary strategies to optimize generative AI model performance. Learn how to apply prompt engineering, ground your model with RAG, and fine-tune for consistent behavior—and when to combine these approaches.

Module 1.6: Implement a responsible generative AI solution in Microsoft Foundry

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Module 2: Develop AI agents on Azure

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 Microsoft Foundry Agent Service and Microsoft Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Module 2.1: Develop AI agents with Microsoft Foundry and Visual Studio Code

Learn how to build, test, and deploy AI agents using Microsoft Foundry Agent Service through both the Azure portal and Visual Studio Code extension.

Module 2.2: Integrate custom tools into your agent

Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use.

Module 2.3: Integrate MCP Tools with Azure AI Agents

Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.

Module 2.4: Build knowledge-enhanced AI agents with Foundry IQ

Learn how to connect AI agents with enterprise knowledge using Foundry IQ. You’ll explore how Retrieval Augmented Generation (RAG) solves the knowledge problem for AI agents, discover how Foundry IQ provides a shared knowledge platform that multiple agents can access, improve retrieval quality through data optimization, and configure agent instructions for consistent, cited responses.

Module 2.5: Integrate your agent with Microsoft 365

Learn how to publish Microsoft Foundry agents to Microsoft Teams and Microsoft 365 Copilot, access workplace data with Work IQ, and test your integrated agents.

Module 2.6: Build agent-driven workflows using Microsoft Foundry

Workflows enable you to orchestrate AI agents and other components to create intelligent applications. Learn how to build and manage workflows using Microsoft Foundry.

Disclaimer

Training4Every1 Course details and content may change without notice to stay aligned with current software updates and best practices.

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