AI-102: Designing and Implementing a Microsoft Azure AI Solution

Microsoft is retiring material AI-102: Designing and Implementing a Microsoft Azure AI Solution on April 30, 2026. The replacement course will be: AI-103: Develop AI Apps and Agents on Azure.

Course: AI-102: Designing and Implementing a Microsoft Azure AI Solution

The Microsoft AI 102 Designing and Implementing an Azure AI Solution course is intended for software developers who want to create applications with artificial intelligence using Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The programming language used in the course will be C# or Python.

Virtual course with included certification exam as a gift. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no additional cost.

Promotion valid until June 30, 2026. One-attempt exam available only in Virtual - E-learning mode.

Level: Intermediate - Product: Azure - Role: AI Engineer - Subject: Artificial Intelligence

Course aimed at

Software engineers involved in the creation, administration, and implementation of artificial intelligence solutions using Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are proficient in C# or Python and have knowledge of using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

Training objectives

• Describe considerations for developing AI-enabled applications
  

• Create, configure, deploy, and secure Azure Cognitive Services

• Develop applications that analyze text

• Develop speech-enabled applications

• Build applications with natural language understanding capabilities

• Create QnA applications

• Build conversational solutions with bots

• Use computer vision services to analyze images and videos

• Create custom computer vision models

• Develop applications that detect, analyze, and recognize faces

• Develop applications that read and process text in images and documents

• Create intelligent search solutions for knowledge mining

AI-102 training elements

• Introduction to Azure AI Services (6 units)

• Building computer vision solutions with Azure AI Vision (6 units)

• Developing natural language processing solutions with Azure AI Services (8 units)

• Implementing knowledge mining with Azure AI Search (8 units)

• Developing solutions with Azure AI Document Intelligence (4 units)

• Developing generative artificial intelligence solutions with Azure OpenAI Service (3 units)

AI-102 Course Content: Developing Artificial Intelligence Solutions on Azure

Module 1: Introduction to AI and AI on Azure

• Introduction to artificial intelligenceAI on Azure
• Introduction to Azure AI Services
• Using Azure AI Services for enterprise applications

Module 2: Develop Computer Vision solutions with Azure AI Vision

• Analyze and manipulate images
• Create a Custom Vision model.
• Detect, analyze, and recognize faces
• Analyze videos

Labs: 

• Lab: Analyze images with Azure AI Vision
• Lab: Read text in images
• Lab: Classify images with an Azure AI Custom Vision model

Module 3: Develop natural language processing solutions

• Analyze and translate text
• Creating a question answering solution
• Build a conversational language recognition app
• Extract custom classification and named entities
• Recognize, synthesize, and translate speech

Module 4: Developing generative artificial intelligence solutions with Azure OpenAI Service 

• Introduction to Azure OpenAI Service
• Develop applications with Azure OpenAI ServiceApplication of messaging engineering with Azure OpenAI Service
• Use your own data with Azure OpenAI Service

Module 5. Creating a knowledge mining solution

• Implementing an intelligent search solution
• Developing custom skills for an enrichment pipeline
• Creating a knowledge store

Module 6: Developing solutions with Azure AI Document Intelligence

• Use pre-built Document Intelligence models
• Train a custom Document Intelligence model

Prerequisites

Before attending this course, students should have:

• Knowledge of Microsoft Azure and ability to navigate Azure Portal
• Knowledge of C# or Python
• Knowledge of JSON and REST programming semantics

To acquire C# or Python skills, complete the free learning paths Getting Started with C# or Python for Beginners before attending the course. If you have no experience with artificial intelligence and want to get an overview of AI capabilities in Azure, consider completing the Azure AI Fundamentals certification before taking this one.

Language

• Course: English / Spanish
• Labs: English / Spanish

Microsoft Associate Certification: Azure AI Engineer Associate

Microsoft Certified: Azure AI Engineer Associate

Microsoft is retiring the Azure AI Engineer Associate (AI-102) certification on July 31, 2026. Its replacement will be the certification: Developing AI Apps and Agents (AI-103). Beta launch April 2026.

Design and implement an Azure AI solution using Azure AI Services, Azure AI Search, and Azure Open AI.

Level: Intermediate
Role: AI Engineer
Product: Azure
Subject: Data and AI