Microsoft AI-103 – Developing AI Apps And Agents On Azure Course In in Salt Lake City

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

Salt Lake City

Master AI application and agent development with Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Salt Lake City. Learn to build Generative AI apps, AI agents, and multimodal AI solutions using Microsoft Foundry and Azure AI services. Gain practical skills in AI automation and intelligent workflow development.

Upskill with Microsoft AI-103 – Developing AI Apps and Agents on Azure Course
Learn to build Generative AI apps using Microsoft Foundry and Azure AI services
Gain hands-on experience developing and deploying intelligent AI agents

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

Course syllabus

Who it’s for

What’s included

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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

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.

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.

Train Your Workforce

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

Our Salt Lake City venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

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.

Salt Lake City is situated in the Wasatch Front within the north-central part of Utah, as well as it being the capital city of Utah is also one of two major urban areas within the Great Basins. SLC or Salt Lake as the city is otherwise known is the most populated city with Utah as it is home to an estimated 1,153,340 people as of 2014 as well as having a metropolitan population of around 2,423,912 people. Salt Lake City has 23 elementary, 5 middle and 3 high schools as well as a charter school. In 1847 the first classes for children within the Mormon families was held in a tent and now today salt city lake includes a number of catholic schools which include Rowland Hall-St. Mark's School which is Salt Lake City’s premier independent school and Judge Memorial Catholic High School. Some of the universities and colleges within Salt Lake City includes the LDS Business College, Westminster College, University of Utah, The Art Institute of Salt Lake City and the Salt Lake Community College. The University of Utah is renowned for the medical and research programs they run as well as holding the first artificial heart transplant within 1982 and it also worked alongside three other universities with ARPANET in 1969 where pioneer Ivan Sutherland had moved within the Computer Science department.

Ways to take Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Salt Lake City

Online Instructor-Led Learning

Online Self-Paced Learning

Onsite Learning

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Microsoft AI-103 – Developing AI Apps and Agents on Azure Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Live classes

Join a scheduled class with a live instructor and other delegates.

Interactive

Engage in activities, and communicate with your trainer and peers.

Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

Scalable Training Delivery

Access Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Salt Lake City delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Microsoft AI-103 – Developing AI Apps and Agents on Azure Course with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

Structured Yet Flexible Learning

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.

Engaging & Interactive Training

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.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

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.

Flexible Learning

Access Microsoft AI-103 – Developing AI Apps and Agents on Azure Course resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

Access Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Salt Lake City from a trusted global training provider delivering consistent learning to professionals worldwide.

Cost-Effective Training

Benefit from the cost-effective Microsoft AI-103 – Developing AI Apps and Agents on Azure Course that delivers high-quality course content without compromising learning outcomes.

Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Microsoft AI-103 – Developing AI Apps and Agents on Azure Course Schedule in Salt Lake City

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

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

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 Salt Lake City FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What are the pre-requisites?

Who should attend this course?

Do you offer support for the course?

We are able to provide support via phone & email prior to attending, during and after the course.

What is included in the course?

Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

What is the duration of this course?

This course is [ ] day(s)

How long until I receive the course confirmation details?

Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

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

The training fees for Microsoft AI-103 – Developing AI Apps and Agents on Azure Course in Salt Lake City starts from $3695

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

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 Salt Lake City?

Please see our Microsoft Azure Certification courses available in Salt Lake City

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