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Microsoft AI-102T00 - Designing and Implementing a Microsoft Azure AI Solution

  • Length 4 days
Course overview
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Why study this course

This course is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

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What you’ll learn

After completing this course, students will be able to:

  • Describe considerations for AI-enabled application development

  • Create, configure, deploy, and secure Azure

  • Cognitive Services

  • Develop applications that analyse text

  • Develop speech-enabled applications

  • Create applications with natural language understanding capabilities

  • Create QnA applications

  • Create conversational solutions with bots

  • Use computer vision services to analyse images and videos

  • Create custom computer vision models

  • Develop applications that detect, analyse, and recognise faces

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

  • Create intelligent search solutions for knowledge mining


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Who is the course for?

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.


Course subjects

  • Prepare to develop AI solutions on Azure

  • Create and consume Azure AI services

  • Secure Azure AI services

  • Monitor Azure AI services

  • Deploy Azure AI services in containers

  • Analyse images

  • Classify images

  • Detect, analyse, and recognise faces

  • Read Text in images and documents with the Azure AI Vision Service

  • Analyse video

  • Analyse text with Azure AI Language

  • Build a question answering solution

  • Build a conversational language understanding model

  • Create a custom text classification solution

  • Create a custom named entity extraction solution

  • Translate text with Azure AI Translator service

  • Create speech-enabled apps with Azure AI services

  • Translate speech with the Azure AI Speech service

  • Create an Azure AI Search solution

  • Create a custom skill for Azure AI Search

  • Create a knowledge store with Azure AI Search

  • Plan an Azure AI Document Intelligence solution

  • Use prebuilt Azure AI Document Intelligence models

  • Extract data from forms with Azure Document Intelligence

  • Get started with Azure OpenAI Service

  • Build natural language solutions with Azure OpenAI Service

  • Apply prompt engineering with Azure OpenAI Service

  • Generate code with Azure OpenAI Service

  • Generate images with Azure OpenAI Service

  • Use your own data with Azure OpenAI Service

  • Fundamentals of Responsible Generative AI


Prerequisites

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal. If you are new to Azure and cloud computing, consider taking our AZ-900: Azure Fundamentals course.

  • Familiarity with JSON and REST programming semantics.

  • Experience programming with Python. If you have no previous programming experience, we recommend you complete our Introduction to Programming with Python course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the AI-900: Azure AI Fundamentals training before taking this one.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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