Microsoft AI-103 – Developing AI Apps And Agents On Azure Course In in Derby

Microsoft AI-103 – Developing AI Apps and Agents on Azure Course Outline

Module 1: Develop Generative AI Apps on Azure

• Plan and Prepare to Develop AI Solutions on Azure
  • Introduction
  • What Is AI?
  • Microsoft Foundry
  • Foundry Tools
  • Developer Tools and SDKs
  • Responsible AI
  • Exercise - Prepare for an AI Development Project
• Select, Deploy, and Evaluate Microsoft Foundry Models
  • Introduction
  • Explore the Model Catalog
  • Select Models Using Benchmarks
  • Deploy Models to Endpoints
  • Evaluate Model Performance
  • Exercise - Select, Deploy, and Evaluate Models
• Develop a Generative AI Chat App with Microsoft Foundry
  • Introduction
  • Explore with the Model Playground
  • Choose an Endpoint and SDK
  • Generate Responses with the Responses API
  • Generate Responses with the ChatCompletions API
  • Exercise - Create a Generative AI Chat App
• Develop Generative AI Apps That Use Tools
  • Introduction
  • What Are Tools?
  • Use the Code_Interpreter Tool
  • Use the Web_Search Tool
  • Use the File_Search Tool
  • Use the Function Tool
  • Exercise - Create a Generative AI Chat App That Uses Tools
• Optimise Generative AI Model Performance with Microsoft Foundry
  • Introduction
  • Optimise Model Output with Prompt Engineering
  • Ground Your Model with Retrieval Augmented Generation
  • Fine-Tune a Model for Consistent Behaviour
  • Compare and Combine Optimisation Strategies
  • Exercise - Optimise Generative AI Model Performance
• Implement a Responsible Generative AI Solution in Microsoft Foundry
  • Introduction
  • Plan a Responsible Generative AI Solution
  • Map Potential Harms
  • Measure Potential Harms
  • Mitigate Potential Harms
  • Manage a Responsible Generative AI Solution
  • Exercise - Apply Guardrails to Prevent the Output of Harmful Content

Module 2: Develop AI Agents on Azure

• Develop AI Agents with Microsoft Foundry and Visual Studio Code
  • Introduction
  • 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
  • Exercise - Build and Deploy an AI Agent
• Integrate Custom Tools into Your Agent
  • Introduction
  • Why Use Custom Tools
  • Options for Implementing Custom Tools
  • How to Integrate Custom Tools
  • Exercise - Build an Agent with Custom Tools
  • Integrate MCP Tools with Azure AI Agents
  • Introduction
  • Understand MCP Tool Discovery
  • Integrate Agent Tools Using an MCP Server and Client
  • Use Azure AI Agents with MCP Servers
  • Exercise - Connect MCP Tools to Azure AI Agents
• Build Knowledge-Enhanced AI Agents with Foundry IQ
  • Introduction
  • Understanding RAG for Agents
  • Explore Foundry IQ
  • Configure Data Sources for Knowledge Bases
  • Configure Retrieval with Foundry IQ
  • Exercise - Integrate an AI Agent with Foundry IQ
• Integrate Your Agent with Microsoft 365
  • Introduction
  • 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
  • Exercise - Publish a Foundry Agent to Teams
• Build Agent-Driven Workflows Using Microsoft Foundry
  • Introduction
  • 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
  • Exercise - Create an Agent-Driven Workflow
• Develop an AI Agent with Microsoft Agent Framework
  • Introduction
  • Understand Microsoft Agent Framework AI Agents
  • Create an Azure AI Agent with Microsoft Agent Framework
  • Add Tools to Azure AI Agent
  • Exercise - Develop an Azure AI Agent with the Microsoft Agent Framework SDK
• Orchestrate a Multi-Agent Solution Using the Microsoft Agent Framework
  • Introduction
  • Understand the Microsoft Agent Framework
  • Understand Agent Orchestration
  • Use Concurrent Orchestration
  • Use Sequential Orchestration
  • Use Group Chat Orchestration
  • Use Handoff Orchestration
  • Use Magentic Orchestration
  • Exercise - Develop a Multi-Agent Solution
• Discover Azure AI Agents with A2A
  • Introduction
  • Define an A2A Agent
  • Implement an Agent Executor
  • Host an A2A Server
  • Connect to Your A2A Agent
  • Exercise - Connect to Remote Azure AI Agents with the A2A Protocol

Module 3: Develop Natural Language Solutions on Azure

• Analyse Text with Azure Language in Foundry Tools
  • Introduction
  • Azure Language in Microsoft Foundry Tools
  • Detect Language
  • Extract Entities
  • Extract Personally Identifiable Information (PII)
  • Exercise - Analyse Text
• Develop a Text Analysis Agent with the Azure Language MCP Server
  • Introduction
  • Understand the Azure Language MCP Server
  • Connect and Use the Language MCP Server with an Agent
  • Exercise - Develop a Text Analysis Agent
• Develop a Speech-Capable Generative AI Application
  • Introduction
  • Choose a Speech-Capable Model
  • Transcribe Speech
  • Synthesise Speech
  • Exercise - Use Speech-Capable Generative AI Models
• Create Speech-Enabled Apps with Azure Speech in Microsoft Foundry Tools
  • Introduction
  • 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
  • Exercise - Create a Speech-Enabled App
• Develop a Speech Agent with the Azure Speech MCP Server
  • Introduction
  • Understand the Azure Speech MCP Server
  • Connect and Use the Speech MCP Server with an Agent
  • Exercise - Use Azure Speech in an Agent
• Develop an Azure Speech Voice Live Agent in Microsoft Foundry
  • Introduction
  • Explore the Azure Voice Live API
  • Explore the AI Voice Live Client Library for Python
  • Create a Voice Live Agent
  • Exercise - Develop a Voice Live Agent
• Translate Text and Speech with Microsoft Foundry Tools
  • Introduction
  • Translation in Microsoft Foundry
  • Translate Text
  • Translate Speech
  • Exercise - Translate Text and Speech

Module 4: Extract Insights from Visual Data on Azure

• Develop a Vision-Enabled Generative AI Application
  • Introduction
  • Use a Vision-Capable Model in the Microsoft Foundry Portal
  • Develop a Vision-Based Chat App
  • Exercise - Develop a Vision-Enabled Chat App
• Generate Images with AI
  • Introduction
  • What are Image-Generation Models?
  • Explore Image-Generation Models in Microsoft Foundry Portal
  • Create a Client Application That Uses an Image Generation Model
  • Exercise - Generate Images with AI
• Generate Videos with Microsoft Foundry
  • Introduction
  • Deploy a Video Generating Model
  • Generate Video from a Prompt
  • Generate Video in Python
  • Exercise - Generate Video with Sora 2 in Microsoft Foundry
• Analyse Images with Content Understanding
  • Introduction
  • What Is Content Understanding?
  • Analyse Images with Content Understanding
  • Exercise - Analyse Images with Content Understanding
• Create a Multimodal Analysis Solution with Azure Content Understanding
  • Introduction
  • What Is Azure Content Understanding?
  • Create a Content Understanding Analyser
  • Use the Content Understanding API
  • Exercise - Extract Information from Multimodal Content
• Create an Azure Content Understanding Client Application
  • Introduction
  • Prepare to Use the AI Content Understanding API
  • Create a Content Understanding Analyser
  • Analyse Content
  • Exercise - Develop a Content Understanding Client Application
• Extract Data with Azure Document Intelligence
  • Introduction
  • What Is Azure Document Intelligence?
  • Use the Document Intelligence Studio
  • Use Prebuilt Models
  • Train and Use Custom Models
  • Exercise - Analyse Documents with Document Intelligence
• Create a Knowledge Mining Solution with Azure AI Search
  • Introduction
  • 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
  • Exercise - Create a Knowledge Mining Solution

Who Should Attend this Microsoft AI-103 – Developing AI Apps and Agents on Azure Course?

The Microsoft AI-103 – Developing AI Apps and Agents on Azure Course is designed for professionals who want to build practical skills in Generative AI, AI agents, Azure AI services, and intelligent application development. Here are some professionals who can particularly benefit from attending this course:

• AI Engineers
• Software Developers
• Cloud Solution Architects
• Data Scientists
• Machine Learning Engineers
• Azure Developers
• Automation Professionals

Prerequisites of the Microsoft AI-103 – Developing AI Apps and Agents on Azure Course

There are no formal prerequisites for attending this Microsoft AI-103 – Developing AI Apps and Agents on Azure Course. However, a basic understanding of cloud computing, software development concepts, and Microsoft Azure services can be beneficial for delegates.

Microsoft AI-103 – Developing AI Apps and Agents on Azure Course Overview

Microsoft AI-103 – Developing AI Apps and Agents on Azure Training explores the development of Generative AI applications, AI agents, and intelligent solutions using Microsoft Foundry and Azure AI services.

This training helps delegates develop practical skills in AI application development, agent orchestration, prompt engineering, responsible AI, and intelligent workflow creation. Delegates enhance their ability to create scalable and business-focused AI solutions.

This 4-Day course offered by The Knowledge Academy helps delegates develop AI apps and intelligent agents using Microsoft Azure technologies. Delegates gain hands-on experience in building Generative AI solutions and applying responsible AI practices in real-world scenarios.

Microsoft AI-103 – Developing AI Apps and Agents on Azure Course Objectives

• To understand the fundamentals of Generative AI, AI agents, and Microsoft Azure AI services
• To learn how to develop AI-powered applications using Microsoft Foundry and Azure tools
• To build intelligent AI agents with workflow orchestration and custom tool integration
• To develop speech, vision, translation, and multimodal AI solutions for business use cases
• To understand prompt engineering, Retrieval Augmented Generation, and AI model optimisation
• To implement responsible AI practices, governance, and content safety measures in AI solutions

Upon completing this Microsoft AI-103 – Developing AI Apps and Agents on Azure Training, delegates will gain practical knowledge of developing AI applications and agents using Azure AI technologies. They will be able to build intelligent solutions confidently while applying responsible AI and modern AI development practices effectively.

What’s Included in this Microsoft AI-103 – Developing AI Apps and Agents on Azure Course?

• World-Class Training Sessions from Experienced Instructors
• Interactive Learning with 24*7 Support
• Digital Delegate Pack

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.