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AI-103: Develop AI Apps and Agents on Azure

Learn new skills and discover the power of Microsoft Azure with step-by-step guidance.

Demand for Cloud Skills

Learn core Azure services and cloud concepts for career success. Start from the basics and progress to cloud expertise.

Hands-On Learning

Understanding Azure allows you to leverage technology to stay ahead of competitors and adapt to market changes.

Learn from Azure Experts

Build a solid foundation in cloud computing with Azure and lead in an increasingly digital business landscape.

  • Instructor-led

  • Official Courseware

  • Flexible Schedule

  • Guaranteed To Run

Microsoft AI-103: Develop AI Solutions on Azure with practical, instructor-led training designed for developers and technology professionals building AI applications on Microsoft Azure.

This comprehensive Azure AI training helps you develop real-world skills in generative AI, Azure AI services, AI agents, machine learning, and AI-powered application development.

Through live instruction, hands-on labs, demonstrations, and practical exercises, you'll learn how to design, develop, integrate, test, and optimize AI solutions on Azure.

Course Overview

  • Course : AI-103: Develop AI Apps and Agents on Azure

  • Level : Intermediate

  • Type : Instructor led Live online or Classroom

  • Length : 4 days

  • Labs : Included

  • Practice Test : Included

Who should take this course

  • AI engineers and developers working on AI solutions

  • Data scientists and ML engineers

  • Cloud solution architects designing AI powered applications

  • IT professionals

  • Anyone preparing for the Microsoft Certified Azure AI Engineer Associate certification

Prerequisites

  • Basic knowledge of Microsoft Azure services

  • Experience with programming languages like Python or C#

What you'll learn

  • Developing AI Solutions with Azure Cognitive Services

  • Implementing Natural Language Processing

  • Building text analytics, language understanding

  • Creating Conversational AI Solutions Developing chatbots

  • Building Computer Vision Solutions Image classification

  • Facial recognition, and optical character recognition

  • Working with Azure Machine Learning

  • Implementing Responsible AI Practices

  • Security considerations in AI solutions

Training Mode

Instructor-led Virtual online live Training.

  • Weekend Classes

  • Evening Classes

  • Weekdays Classes

Course Outline

Module 1: Plan and prepare to develop AI solutions on Azure

  • What is AI?

  • Microsoft Foundry

  • Foundry Tools

  • Developer tools and SDKs

  • Responsible AI

  • Module assessment

Module 2: Select, deploy, and evaluate Microsoft Foundry models

  • Explore the model catalog

  • Select models using benchmarks

  • Deploy models to endpoints

  • Evaluate model performance

Module 3: Develop a generative AI chat app with Microsoft Foundry

  • Explore with the model playground

  • Choose an endpoint and SDK

  • Generate responses with the Responses API

  • Generate responses with the ChatCompletions API

Module 4: Develop generative AI apps that use tools

  • What are tools?

  • Use the code_interpreter tool

  • Use the web_search tool

  • Use the file_search tool

  • Use the functions tool

  • Module assessment

Module 5: Optimize generative AI model performance with Microsoft Foundry

  • Optimize model output with prompt engineering

  • Ground your model with Retrieval Augmented Generation

  • Fine-tune a model for consistent behavior

  • Compare and combine optimization strategies

  • Module assessment

Module 6: Implement a responsible generative AI solution in Microsoft Foundry

  • Plan a responsible generative AI solution

  • Map potential harms

  • Measure potential harms

  • Mitigate potential harms

  • Manage a responsible generative AI solution

  • Module assessment

Module 7: Develop AI agents with Microsoft Foundry and Visual Studio Code

  • Understand AI agents and Microsoft Foundry Agent Service

  • Explore development approaches

  • Build your first agent in Microsoft Foundry

  • Set up Visual Studio Code for agent development

  • Configure and manage agents in Visual Studio Code

  • Extend agent capabilities with tools

  • Test, deploy, and integrate agents

Module 8: Integrate custom tools into your agent

  • Why use custom tools

  • Options for implementing custom tools

  • How to integrate custom tools

  • Module assessment

Module 9: Integrate MCP Tools with Azure AI Agents

  • Understand MCP tool discovery

  • Integrate agent tools using an MCP server and client

  • Use Azure AI agents with MCP servers

  • Module assessment

Module 10: Build knowledge-enhanced AI agents with Foundry IQ

  • Understanding RAG for agents

  • Explore Foundry IQ

  • Configure data sources for knowledge bases

  • Configure retrieval with Foundry IQ

Module 11: Integrate your agent with Microsoft 365

  • Understand Foundry agent publishing options

  • Publish an agent from Foundry portal to Teams

  • Advanced - Use Microsoft 365 Agents Toolkit

  • Access Microsoft 365 data with Work IQ

  • Test and iterate your integrated agent

Module 12: Build agent-driven workflows using Microsoft Foundry

  • Understand Workflows

  • Identify Workflow Patterns

  • Create workflows in Microsoft Foundry

  • Add Agents to a Workflow

  • Apply Power Fx in Workflows

  • Maintain Workflows in Microsoft Foundry

  • Use workflows in code

  • Module Assessment

Module 13: Develop an AI agent with Microsoft Agent Framework

  • Understand Microsoft Agent Framework AI agents

  • Create an Azure AI agent with Microsoft Agent Framework

  • Add tools to Azure AI agent

Module 14: Orchestrate a multi-agent solution using the Microsoft Agent Framework

  • Understand the Microsoft Agent Framework

  • Understand agent orchestration

  • Use concurrent orchestration

  • Use sequential orchestration

  • Use group chat orchestration

  • Use handoff orchestration

  • Use Magentic orchestration

Module 15: Discover Azure AI Agents with A2A

  • Define an A2A agent

  • Implement an agent executor

  • Host an A2A server

  • Connect to your A2A agent

  • Module assessment

Module 16: Analyze text with Azure Language in Foundry Tools

  • Azure Language in Microsoft Foundry Tools

  • Detect language

  • Extract entities

  • Extract personally identifiable information (PII)

  • Module assessment

Module 17: Develop a text analysis agent with the Azure Language MCP server

  • Understand the Azure Language MCP server

  • Connect and use the Language MCP server with an agent

Module 18: Develop a speech-capable generative AI application

  • Choose a speech-capable model

  • Transcribe speech

  • Synthesize speech

  • Module assessment

Module 19: Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools

  • Azure Speech in Foundry Tools

  • Use the Speech to Text API

  • Use the Text to Speech API

  • Configure audio format and voices

  • Use Speech Synthesis Markup Language

  • Module assessment

Module 20: Develop a speech agent with the Azure Speech MCP server

  • Understand the Azure Speech MCP server

  • Connect and use the Speech MCP server with an agent

Module 21: Develop an Azure Speech Voice Live Agent in Microsoft Foundry

  • Explore the Azure Voice Live API

  • Explore the AI Voice Live client library for Python

  • Create a Voice Live agent

  • Module assessment

Module 22: Translate text and speech with Microsoft Foundry Tools

  • Translation in Microsoft Foundry

  • Translate text

  • Translate speech

  • Module assessment

Module 23: Develop a vision-enabled generative AI application

  • Use a vision-capable model in the Microsoft Foundry portal

  • Develop a vision-based chat app

  • Module assessment

Module 24: Generate images with AI

  • What are image-generation models?

  • Explore image-generation models in Microsoft Foundry portal

  • Create a client application that uses an image generation model

  • Module assessment

Module 25: Generate videos with Microsoft Foundry

  • Deploy a video generating model

  • Generate video from a prompt

  • Generate video in Python

  • Module assessment

Module 26: Analyze images with Content Understanding

  • What is Content Understanding?

  • Analyze images with Content Understanding

  • Module assessment

Module 27: Create a multimodal analysis solution with Azure Content Understanding

  • What is Azure Content Understanding?

  • Create a Content Understanding analyzer

  • Use the Content Understanding API

  • Module assessment

Module 28: Create an Azure Content Understanding client application

  • Prepare to use the AI Content Understanding API

  • Create a Content Understanding analyzer

  • Analyze content

  • Module assessment

Module 29: Extract data with Azure Document Intelligence

  • What is Azure Document Intelligence?

  • Use the Document Intelligence Studio

  • Use prebuilt models

  • Train and use custom models

  • Module assessment

Module 30: Create a knowledge mining solution with Azure AI Search

  • What is Azure AI Search?

  • Extract data with an indexer

  • Enrich extracted data with AI skills

  • Search an index

  • Persist extracted information in a knowledge store

  • Module assessment

Hands-on Labs

  • Lab : Prepare for an AI development project

  • Lab : Explore models and evaluate performance

  • Lab : Create a generative AI chat app

  • Lab : Create a generative AI app that uses your own data

  • Lab : Apply content filters to prevent the output of harmful content

  • Lab : Build AI agents with portal and VS Code

  • Lab : Use a custom function in an AI agent

  • Lab : Develop an AI agent with Model Context Protocol (MCP) tools

  • Lab : Integrate an AI agent with Foundry IQ

  • Lab : Develop an Azure AI chat agent with the Microsoft Agent Framework SDK

  • Lab : Develop a multi-agent solution

  • Lab : Analyze text

  • Lab : Develop A Text Analysis Agent

  • Lab : Use speech-capable generative AI models

  • Lab : Recognize and synthesize speech

  • Lab : Use Azure Speech in an agent

  • Lab : Develop a Voice Live agent

  • Lab : Develop a vision-enabled chat app

  • Lab : Generate images with AI

  • Lab : Analyze images with Azure Content Understanding

  • Lab : Extract information from multimodal content (Optional)

  • Lab : Develop a Content Understanding client application

Best Value offer

  • Courseware Access

  • Instructor-led live online / Classroom

  • Flexible Schedule

  • Learn by Doing, Not Just theory

  • Post-Training Doubt Sessions

  • Course Completion Certification

  • BONUS: Get access to cert preparation app FREE of cost

Instructor-led Class Schedule

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If your preferred date is not listed, please complete the form below and our team will contact you with alternative availability.

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4 days

Advanced

5 days

Intermediate

4 days

Advanced

What are the prerequisites for the training?

Some courses may require basic knowledge of IT infrastructure. Check the specific course details for prerequisites.

Can I start even if I am new to Cloud computing?

Yes, our expert instructor will help you from scratch, the course is designed in a way that you will get understanding of Cloud.

Can I get support after course?

Sure, we would happy to assist you. Please direct your queries to info@infoventure.com

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