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

Software engineers involved in building, managing, and deploying AI solutions using Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. They are fluent in C# or Python and have experience using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

• Describe considerations for developing AI-enabled applications
  

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

• Develop applications that analyze text

• Develop voice-enabled applications

• Build apps with natural language understanding capabilities

• Create QnA applications

• Create 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

• 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 Intelligence Document (4 units)

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

Module 1: Introduction to AI and AI in Azure

• Introduction to Artificial IntelligenceAI in Azure
• Introduction to Azure AI Services
• Using 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 Question Answering Solution
• Building a conversational language recognition app
• Extract a custom classification and named entities
• Recognize, synthesize and translate voice

Module 4: Developing generative AI solutions with Azure OpenAI Service

• Introduction to Azure OpenAI Service
• Develop applications with Azure OpenAI ServiceMessage engineering application 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 customized skills for an enrichment pipeline
• Creating a knowledge warehouse

Module 6: Developing Solutions with Azure AI Intelligence Document

• Use pre-built Intelligence Document templates
• Training a custom Document Intelligence model

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 gain C# or Python skills, complete the free Getting Started with C# or Python for Beginners learning paths before attending the course. If you are new to AI and want to gain an overview of AI capabilities in Azure, consider completing the Azure AI Fundamentals certification before taking this course.

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

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