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

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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
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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.

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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.

Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in-house or onsite training in Edinburgh? We specialise in corporate group training and bulk bookings for organisations of all sizes in Edinburgh. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

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Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Edinburgh is the capital of Scotland and is the second largest in the country. It has a population of around 490,000 people and is home to the Scottish Parliament. The Edinburgh Fringe is a great mark of culture in the city and is seen as the largest international arts festival in the world. It takes place every year. The city is best known for its education, particular in the field of medicine, literature, science and engineering. The University of Edinburgh was founded in 1582 and is ranked 17th in the World University Rankings. It educates around 21,000 students and its famous alumni include Charles Darwin, Alexander Graham Bell and Joseph Lister. It’s a very tricky university to get into, as it receives around 50,000 applications every year but can only accept around 11% of these. 

There are about 95 primary schools and around 25 secondary schools in Edinburgh which are all administered by the City of Edinburgh Council. Also in Edinburgh is The Royal High School which is one of the oldest schools in Scotland and in the world. Many independent and private schools run in Edinburgh including George Watson’s College, Merchiston Castle School and Edinburgh Academy.

Edinburgh has one Gaelic primary school; Bun-sgoil Taobh na Pàirce. There are three other universities in Edinburgh; Queen Margaret University, Heriot-Watt University and Napier Technical College. Queen Margaret University is located on the border of Edinburgh while Edinburgh Napier University sits in the south of the city. Queen Margaret University was originally a women-only university to improve the education and diets of families in the working class but by 1877 it was open to all. The university specialises in medical and healthcare fields, as well as other sciences. Heriot-Watt is a specialist mechanics institute and the world’s first of its kind. It has campuses out in Malaysia, London and Dubai.

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Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Microsoft AI-103 – Developing AI Apps and Agents on Azure Course industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Learn Microsoft AI-103 – Developing AI Apps and Agents on Azure Course through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Experience the most sought-after learning style with The Knowledge Academy's Microsoft AI-103 – Developing AI Apps and Agents on Azure Course Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Microsoft AI-103 – Developing AI Apps and Agents on Azure Course sessions.

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Package deals for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Edinburgh

Our training experts have compiled a range of course packages on a variety of categories in Microsoft AI-103 – Developing AI Apps and Agents on Azure Course, to boost your career. The packages consist of the best possible qualifications with Microsoft AI-103 – Developing AI Apps and Agents on Azure Course, and allows you to purchase multiple courses at a discounted rate.

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

What is the Microsoft AI-103 – Developing AI Apps and Agents on Azure Course?

This course teaches delegates how to build Generative AI applications and AI agents using Microsoft Foundry and Azure AI services. It covers speech, vision, language, and multimodal AI capabilities. Delegates also learn responsible AI and workflow automation techniques.

Who should attend this Microsoft AI-103 Course?

This course is ideal for AI Engineers, Developers, Azure Professionals, and IT Specialists. It also benefits professionals interested in intelligent application development and AI automation. Anyone looking to build AI solutions using Microsoft Azure can attend.

What skills will I gain from this course?

Delegates will learn to develop AI applications, intelligent agents, and multimodal AI solutions. They will gain hands-on experience with Azure AI services, prompt engineering, and AI workflows. The course also covers responsible AI implementation practices.

Does this course include practical exercises?

Yes, this course includes multiple hands-on exercises and practical labs. Delegates will work on AI apps, AI agents, speech solutions, and workflow development tasks. These exercises help reinforce real-world AI development skills.

What technologies are covered in this training?

This training covers Microsoft Foundry, Azure AI services, AI agents, Azure Speech, Azure AI Search, and Document Intelligence. It also includes Generative AI models, AI workflows, and multimodal AI applications. Delegates learn how these technologies work together in enterprise environments.

Will I learn about AI agents in this course?

Yes, the course includes detailed training on AI agent development and orchestration. Delegates learn how to build, deploy, integrate, and manage AI agents using Microsoft tools. The course also covers multi-agent workflows and tool integration.

Does the course cover responsible AI practices?

Yes, responsible AI is an important part of this training. Delegates learn about AI governance, risk mitigation, content safety, and ethical AI implementation. The course also explains how to apply guardrails to AI solutions.

Is programming knowledge required for this course?

Basic programming knowledge can be helpful for understanding AI development concepts. Familiarity with Python, C#, or cloud development is beneficial. However, the course is designed to support learners with varying technical backgrounds.

What is the cost/training fees for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Edinburgh?

The training fees for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Edinburgh starts from £2695

Which is the best training institute/provider of Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Edinburgh?

The Knowledge Academy is one of the Leading global training provider for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course.

What are the best Microsoft Azure Certification courses in Edinburgh?

Please see our Microsoft Azure Certification courses available in Edinburgh

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