• Microsoft Azure
  • Data and AI (Azure)

Develop AI apps and agents on Azure (AI-103T00)

Contact us to book this course
Learning Track icon
Learning Track

Data and AI (Azure)

Delivery methods icon
Delivery methods

On-Site, Virtual

Duration icon
Duration

4 days

This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content. 

Learning Objectives

  • Evaluate and compare generative AI models using benchmark metrics and playground testing
  • Apply advanced prompt engineering, Retrieval-Augmented Generation, and fine-tuning to optimize model outputs
  • Build and configure autonomous AI agents and multi-agent solutions using the Microsoft Agent Framework
  • Extend agent capabilities using custom tools, workflow routing logic, and the Model Context Protocol
  • Deploy and integrate vision, image, and video-generating models into application workflows
  • Implement speech capabilities including Speech-to-Text, Text-to-Speech, and conversational Voice Live APIs
  • Extract and analyze data from complex documents using Azure Content Understanding and Document Intelligence
  • Build advanced search indices and knowledge stores using Azure AI Search
  • Design and integrate all intelligent solutions securely in alignment with responsible AI principles and governance

Who Should Attend

  • Software engineers responsible for building, managing, and deploying AI solutions
  • Professionals utilizing Microsoft Foundry for AI deployment
  • Developers with Python programming experience
  • Engineers skilled in using APIs and SDKs to build agents
  • Technical teams creating generative AI solutions on Azure

     

Prerequisites

  • Azure and AI Fundamentals: A basic to intermediate understanding of Microsoft Azure services, the Azure portal, and core Artificial Intelligence (AI) concepts, including generative AI and machine learning.
  • Programming Experience: Proficiency in a programming language such as Python, with experience using APIs, SDKs, and basic software development concepts.
  • Microsoft Foundry Knowledge: Familiarity with Microsoft Foundry, including deploying and managing AI models and agents.
  • Development Tools: Basic familiarity with development environments like Visual Studio Code.
  • Microsoft 365: For specific modules, a Microsoft 365 subscription with access to Teams is required.

Course outline