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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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Microsoft Azure at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.


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

Get started with Azure AI Services

  • 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

Create computer vision solutions with Azure AI Vision

  • Analyse images

  • Image classification with custom Azure AI Vision models

  • Detect, analyse, and recognise faces

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

  • Analyse video

Develop natural language processing solutions with Azure AI Services

  • Analyse text with Azure AI Language

  • Create question answering solutions with Azure AI Language

  • Build a conversational language understanding model

  • Create a custom text classification solution

  • Custom named entity recognition

  • Translate text with Azure AI Translator service

  • Create speech-enabled apps with Azure AI services

  • Translate speech with the Azure AI Speech service

Implement knowledge mining with Azure AI Search

  • Create an Azure AI Search solution

  • Create a custom skill for Azure AI Search

  • Create a knowledge store with Azure AI Search

  • Enrich your data with Azure AI Language

  • Implement advanced search features in Azure AI Search

  • Build an Azure Machine Learning custom skill for Azure AI Search

  • Search data outside the Azure platform in Azure AI Search using Azure Data Factory

  • Maintain an Azure AI Search solution

  • Perform search re-ranking with semantic ranking in Azure AI Search

  • Perform vector search and retrieval in Azure AI Search

Develop solutions with Azure AI Document Intelligence

  • Plan an Azure AI Document Intelligence solution

  • Use prebuilt Azure AI Document Intelligence models

  • Extract data from forms with Azure Document Intelligence

  • Create a composed Document intelligence model

  • Build a Document intelligence custom skill for Azure AI search

Develop Generative AI solutions with Azure OpenAI Service

  • 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

  • Implement Retrieval Augmented Generation (RAG) 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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