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

2,380 USD
4 Days
Classroom Training, Online Training

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  • Date: 20-May-2024 to 23-May-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,380 USD
  • Guaranteed to Run
    Date: 28-May-2024 to 31-May-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 2,380 USD
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Course Description


AI-102 Designing and Implementing an Azure AI Solution 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.


Students will learn to,

  • Describe considerations for AI-enabled application development
  • Create, configure, deploy, and secure Azure Cognitive Services
  • Develop applications that analyze 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 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



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.




Prepare to develop AI solutions on Azure
  • Introduction
  • Define artificial intelligence
  • Understand AI-related terms
  • Understand considerations for AI Engineers
  • Understand considerations for responsible AI
  • Understand capabilities of Azure Machine Learning
  • Understand capabilities of Azure AI Services
  • Understand capabilities of the Azure Bot Service
  • Understand capabilities of Azure Cognitive Search
  • Knowledge check
Create and consume Azure AI services
  • Introduction
  • Provision an Azure AI services resource
  • Identify endpoints and keys
  • Use a REST API
  • Use an SDK
  • Exercise - Use Azure AI services
  • Knowledge check
Secure Azure AI services
  • Introduction
  • Consider authentication
  • Implement network security
  • Exercise - Manage Azure AI Services Security
  • Knowledge check
Monitor Azure AI services
  • Introduction
  • Monitor cost
  • Create alerts
  • View metrics
  • Manage diagnostic logging
  • Exercise - Monitor Azure AI services
  • Knowledge check
Deploy Azure AI services in containers
  • Introduction
  • Understand containers
  • Use Azure AI services containers
  • Exercise - Use a container
  • Knowledge check
Analyze images
  • Introduction
  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail
  • Exercise - Analyze images with Azure AI Vision
  • Knowledge check
Classify images
  • Introduction
  • Provision Azure resources for Azure AI Custom Vision
  • Understand image classification
  • Train an image classifier
  • Exercise - Classify images with Azure AI Custom Vision
  • Knowledge check
Detect, analyze, and recognize faces
  • Introduction
  • Identify options for face detection analysis and identification
  • Understand considerations for face analysis
  • Detect faces with the Azure AI Vision service
  • Understand capabilities of the face service
  • Compare and match detected faces
  • Implement facial recognition
  • Exercise - Detect, analyze, and identify faces
  • Knowledge check
Read Text in images and documents with the Azure AI Vision Service
  • Introduction
  • Explore Azure AI Vision options for reading text
  • Use the Read API
  • Exercise - Read text in images
  • Knowledge Check
Analyze video
  • Introduction
  • Understand Azure Video Indexer capabilities
  • Extract custom insights
  • Use Video Analyzer widgets and APIs
  • Exercise - Analyze video
  • Knowledge check
Analyze text with Azure AI Language
  • Introduction
  • Provision an Azure AI Language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities
  • Exercise - Analyze text
  • Knowledge check
Build a question answering solution
  • Introduction
  • Understand question answering
  • Compare question answering to Azure AI Language understanding
  • Create a knowledge base
  • Implement multi-turn conversation
  • Test and publish a knowledge base
  • Use a knowledge base
  • Improve question answering performance
  • Exercise - Create a question answering solution
  • Knowledge check
Build a conversational language understanding model
  • Introduction
  • Understand prebuilt capabilities of the Azure AI Language service
  • Understand resources for building a conversational language understanding model
  • Define intents, utterances, and entities
  • Use patterns to differentiate similar utterances
  • Use pre-built entity components
  • Train, test, publish, and review a conversational language understanding model
  • Exercise - Build an Azure AI services conversational language understanding model
  • Knowledge check
Create a custom text classification solution
  • Introduction
  • Understand types of classification projects
  • Understand how to build text classification projects
  • Exercise - Classify text
  • Knowledge check
Create a custom named entity extraction solution
  • Introduction
  • Understand custom named entity recognition
  • Label your data
  • Train and evaluate your model
  • Exercise - Extract custom entities
  • Knowledge check
Translate text with Azure AI Translator service
  • Introduction
  • Provision an Azure AI Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations
  • Exercise - Translate text with the Azure AI Translator service
  • Knowledge check
Create speech-enabled apps with Azure AI services
  • Introduction
  • Provision an Azure resource for speech
  • Use the Azure AI Speech to Text API
  • Use the text to speech API
  • Configure audio format and voices
  • Use Speech Synthesis Markup Language
  • Exercise - Create a speech-enabled app
  • Knowledge check
Translate speech with the Azure AI Speech service
  • Introduction
  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations
  • Exercise - Translate speech
  • Knowledge check
Create an Azure AI Search solution
  • Introduction
  • Manage capacity
  • Understand search components
  • Understand the indexing process
  • Search an index
  • Apply filtering and sorting
  • Enhance the index
  • Exercise - Create a search solution
  • Knowledge check
Create a custom skill for Azure AI Search
  • Introduction
  • Create a custom skill
  • Add a custom skill to a skillset
  • Exercise - Implement a custom skill
  • Knowledge check
Create a knowledge store with Azure AI Search
  • Introduction
  • Define projections
  • Define a knowledge store
  • Exercise - Create a knowledge store
  • Knowledge check
Plan an Azure AI Document Intelligence solution
  • Introduction
  • Understand AI Document Intelligence
  • Plan Azure AI Document Intelligence resources
  • Choose a model type
  • Knowledge check
Use prebuilt Azure AI Document Intelligence models
  • Introduction
  • Understand prebuilt models
  • Use the General Document, Read, and Layout models
  • Use financial, ID, and tax models
  • Exercise - Analyze a document using Azure AI Document Intelligence
  • Knowledge check
Extract data from forms with Azure Document Intelligence
  • Introduction
  • What is Azure Document Intelligence?
  • Get started with Azure Document Intelligence
  • Train custom models
  • Use Azure Document Intelligence models
  • Use the Azure Document Intelligence Studio
  • Exercise - Extract data from custom forms
  • Knowledge check
Get started with Azure OpenAI Service
  • Introduction
  • Access Azure OpenAI Service
  • Use Azure OpenAI Studio
  • Explore types of generative AI models
  • Deploy generative AI models
  • Use prompts to get completions from models
  • Test models in Azure OpenAI Studio's playgrounds
  • Exercise - Get started with Azure OpenAI Service
  • Knowledge check
Build natural language solutions with Azure OpenAI Service
  • Introduction
  • Integrate Azure OpenAI into your app
  • Use Azure OpenAI REST API
  • Use Azure OpenAI SDK
  • Exercise - Integrate Azure OpenAI into your app
  • Knowledge check
Apply prompt engineering with Azure OpenAI Service
  • Introduction
  • Understand prompt engineering
  • Write more effective prompts
  • Provide context to improve accuracy
  • Exercise - Utilize prompt engineering in your application
  • Knowledge check
Generate code with Azure OpenAI Service
  • Introduction
  • Construct code from natural language
  • Complete code and assist the development process
  • Fix bugs and improve your code
  • Exercise - Generate and improve code with Azure OpenAI Service
  • Knowledge check
Generate images with Azure OpenAI Service
  • Introduction
  • What is DALL-E?
  • Explore DALL-E in Azure OpenAI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models
  • Exercise - Generate images with a DALL-E model
  • Knowledge check
Use your own data with Azure OpenAI Service
  • Introduction
  • Understand how to use your own data
  • Add your own data source
  • Chat with your model using your own data
  • Exercise - Use your own data with Azure OpenAI Service
  • Knowledge check
Fundamentals of Responsible Generative AI
  • Introduction
  • Plan a responsible generative AI solution
  • Identify potential harms
  • Measure potential harms
  • Mitigate potential harms
  • Operate a responsible generative AI solution
  • Exercise - Explore content filters in Azure OpenAI
  • Knowledge check
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