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

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

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

Online course with a free certification exam included. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no extra cost.

Promotion valid until June 30, 2026. One-opportunity exam available only in Virtual - E-learning format. Not applicable to Self-Learning format.

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 the Microsoft Bot Framework. They are proficient in C# or Python and have experience using REST-based APIs to build computer vision, natural language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

Training objectives

• Describe the considerations for developing AI-enabled applications
  

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

• Develop applications that analyze text

• Develop voice-enabled applications

• Create applications with natural language understanding capabilities

• Create QnA applications

• Create conversational solutions with bots

• Use computer vision services to analyze images and videos

• Create custom machine 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

Elements of the AI-102 formation

• Introduction to Azure AI Services (6 units)

• Creating machine 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 Intelligence Document (4 units)

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

Course content AI-102: Developing artificial intelligence solutions in Azure

Module 1: Introduction to AI and AI in Azure

• Introduction to Artificial Intelligence: AI in Azure
• Introduction to Azure AI Services
• Use Azure AI Services for enterprise applications

Module 2: Developing Computer Vision solutions with Azure AI Vision

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

Laboratories:

• Lab: Analyzing images with Azure AI Vision
• Lab: Reading text in images
• Lab: Classify images with an Azure AI Custom Vision model

Module 3: Developing natural language processing solutions

• Analyze and translate text
• Creating a solution to answer questions
• Compile a conversational language recognition app
• Extract a 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
• Developing applications with Azure OpenAI Service: Messaging engineering application with Azure OpenAI Service
• Use your own data with Azure OpenAI Service

Module 5. Creating a knowledge mining solution

• Implementation of an intelligent search solution
• Developing personalized skills for an enrichment pathway
• Creation of a knowledge repository

Module 6: Developing solutions with Azure AI Intelligence Document

• Use pre-compiled Intelligence Document templates
• Train a custom Document Intelligence model

Prerequisites

Before attending this course, students must have:

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

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

Language

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

Microsoft Associate Certification: Azure AI Engineer Associate

Microsoft Certified: Azure AI Engineer Associate

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