AI-102T00 Develop AI solutions in Azure

Name: AI-102T00 Develop AI solutions in Azure
Price: 2995.00 USD
Availability: InStock
Rating: 4.5 (1200 reviews)

Price
$2,995.00 USD

Duration
5 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction.

Who Should Attend?

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

How can AI-102 help me advance my career as a software developer?

AI-102 helps developers expand into high-demand AI-focused roles by building practical skills in generative AI, AI agents, and intelligent application development on Azure. These capabilities are increasingly expected for developers working on modern, cloud-based solutions.

Is this course aligned with the Microsoft AI-102 certification exam?

Yes. This course aligns with the skills measured in the AI-102 certification, focusing on designing and implementing AI solutions using Azure AI services. It helps prepare learners to understand exam concepts in the context of real-world development scenarios.

How will this training help me build AI-powered applications at work?

This course teaches you how to integrate generative AI, computer vision, language analysis, and information extraction into applications using Azure AI Foundry and related services from Microsoft. You’ll gain practical experience implementing AI features developers are expected to deliver in production environments.

Why should I learn to build AI solutions using Azure instead of experimenting with standalone AI tools?

AI-102 focuses on building scalable, secure, and maintainable AI solutions that integrate directly into enterprise applications. Learning how to implement AI through Azure services helps developers move beyond experimentation and deliver solutions that meet organizational standards for performance, governance, and deployment.

What AI skills does this course help me meet that employers expect today?

Employers increasingly expect developers to design and deploy AI-enabled applications, work with APIs and SDKs, and manage AI solutions in cloud environments. AI-102 addresses these expectations by teaching developers how to build, manage, and deploy AI solutions using Azure-native services and best practices.

What is an official Microsoft Training Services Partner (TSP), and why should I choose one?

New Horizons is an official Microsoft Training Services Partner (TSP), authorized to deliver Microsoft-approved curriculum with instruction that aligns directly to current certification and role-based standards. We also hold all six Microsoft Solutions Partner designations across Security, Modern Work, Business Applications, Digital & App Innovation (Azure), Data & AI (Azure), and Infrastructure (Azure).

Because we’ve achieved every required solution area designation, New Horizons is recognized as a Microsoft Cloud Services Partner, a status held by only a small number of training providers in the United States. This ensures that all Microsoft courses offered through New Horizons reflect real-world Microsoft best practices, validated content, and the latest platform capabilities.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

Before attending this course, students must have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics
Recommended course prerequisites
AI-900T00: Microsoft Azure AI Fundamentals course

Agenda

1 - Plan and prepare to develop AI solutions on Azure

What is AI?
Azure AI services
Azure AI Foundry
Developer tools and SDKs
Responsible AI
Module assessment

2 - Choose and deploy models from the model catalog in Azure AI Foundry portal

Explore the model catalog
Deploy a model to an endpoint
Optimize model performance
Module assessment

3 - Develop an AI app with the Azure AI Foundry SDK

What is the Azure AI Foundry SDK?
Work with project connections
Create a chat client
Module assessment

4 - Get started with prompt flow to develop language model apps in the Azure AI Foundry

Understand the development lifecycle of a large language model (LLM) app
Understand core components and explore flow types
Explore connections and runtimes
Explore variants and monitoring options
Module assessment

5 - Develop a RAG-based solution with your own data using Azure AI Foundry

Understand how to ground your language model
Make your data searchable
Create a RAG-based client application
Implement RAG in a prompt flow
Module assessment

6 - Fine-tune a language model with Azure AI Foundry

Understand when to fine-tune a language model
Prepare your data to fine-tune a chat completion model
Explore fine-tuning language models in Azure AI Foundry portal
Module assessment

7 - Implement a responsible generative AI solution in Azure AI Foundry

Plan a responsible generative AI solution
Map potential harms
Measure potential harms
Mitigate potential harms
Manage a responsible generative AI solution
Module assessment

8 - Evaluate generative AI performance in Azure AI Foundry portal

Assess the model performance
Manually evaluate the performance of a model
Automated evaluations
Module assessment

9 - Get started with AI agent development on Azure

What are AI agents?
Options for agent development
Azure AI Foundry Agent Service
Module assessment

10 - Develop an AI agent with Azure AI Foundry Agent Service

What is an AI agent
How to use Azure AI Foundry Agent Service
Develop agents with the Azure AI Foundry Agent Service
Module assessment

11 - Integrate custom tools into your agent

Why use custom tools
Options for implementing custom tools
How to integrate custom tools
Module assessment

12 - Develop an AI agent with Semantic Kernel

Understand Semantic Kernel AI agents
Create an Azure AI agent with Semantic Kernel
Add plugins to Azure AI agent

13 - Orchestrate a multi-agent solution using Semantic Kernel

Understand the Semantic Kernel Agent Framework
Create an agent group chat
Design an agent selection strategy
Define a chat termination strategy

14 - Develop a multi-agent solution with Azure AI Foundry Agent Service

Understand connected agents
Design a multi-agent solution with connected agents
Module assessment

15 - Integrate MCP Tools with Azure AI Agents

Understand MCP tool discovery
Integrate agent tools using an MCP server and client
Module assessment

16 - Analyze text with Azure AI Language

Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Module assessment

17 - Create question answering solutions with Azure AI Language

Understand question answering
Compare question answering to Azure AI Language understanding
Create a knowledge base
Implement multi-turn conversation
Test and publish a knowledge base
Use a knowledge base
Improve question answering performance
Module assessment

18 - Build a conversational language understanding model

Understand prebuilt capabilities of the Azure AI Language service
Understand resources for building a conversational language understanding model
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review a conversational language understanding model
Module assessment

19 - Create a custom text classification solution

Understand types of classification projects
Understand how to build text classification projects
Module assessment

20 - Custom named entity recognition

Understand custom named entity recognition
Label your data
Train and evaluate your model
Module assessment

21 - Translate text with Azure AI Translator service

Provision an Azure AI Translator resource
Specify translation options
Define custom translations
Module assessment

22 - Create speech-enabled apps with Azure AI services

Provision an Azure resource for speech
Use the Azure AI Speech to Text API
Use the text to speech API
Configure audio format and voices
Use Speech Synthesis Markup Language
Module assessment

23 - Translate speech with the Azure AI Speech service

Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Module assessment

24 - Develop an audio-enabled generative AI application

Deploy a multimodal model
Develop an audio-based chat app
Module assessment

25 - Analyze images

Provision an Azure AI Vision resource
Analyze an image
Module assessment

26 - Read text in images

Explore Azure AI options for reading text
Read text with Azure AI Vision Image Analysis
Module assessment

27 - Detect, analyze, and recognize faces

Plan a face detection, analysis, or recognition solution
Detect and analyze faces
Verify and identify faces
Responsible AI considerations for face-based solutions
Module assessment

28 - Classify images

Azure AI Custom Vision
Train an image classification model
Create an image classification client application
Module assessment

29 - Detect objects in images

Use Azure AI Custom Vision for object detection
Train an object detector
Develop an object detection client application
Module assessment

30 - Analyze video

Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs
Module assessment

31 - Develop a vision-enabled generative AI application

Deploy a multimodal model
Develop a vision-based chat app
Module assessment

32 - Generate images with AI

What are image-generation models?
Explore image-generation models in Azure AI Foundry portal
Create a client application that uses an image generation model
Module assessment

33 - Create a multimodal analysis solution with Azure AI Content Understanding

What is Azure AI Content Understanding?
Create a Content Understanding analyzer
Use the Content Understanding REST API
Module assessment

34 - Create an Azure AI Content Understanding client application

Prepare to use the AI Content Understanding REST API
Create a Content Understanding analyzer
Analyze content
Module assessment

35 - Use prebuilt Document intelligence models

Understand prebuilt models
Use the General Document, Read, and Layout models
Use financial, ID, and tax models
Module assessment

36 - Extract data from forms with Azure Document intelligence

What is Azure Document Intelligence?
Get started with Azure Document Intelligence
Train custom models
Use Azure Document Intelligence models
Use the Azure Document Intelligence Studio
Module assessment

37 - 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