Designing and Implementing a Microsoft Azure AI Solution (AI-102T00) - Training Courses | Afi U.

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

Create AI applications that use Azure Cognitive Services, Azure Cognitive Search and Microsoft Bot Framework.

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  • Duration: 4 days
  • Regular price: $2,595
  • Preferential price: $2,204tip icon

Course outline

Duration : 4 days

© AFI par Edgenda inc.

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.

Audience

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.

Prerequisites

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# orPython
  • Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the freeTake your first steps with C# or Take your first steps with Python learning path before attending the course.
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

Objectives

After completing this course, students will be able to:

  • Create intelligent search solutions for knowledge mining
  • 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

Teaching method

Instructor-led training

Contents

Prepare to develop AI solutions on Azure

  • 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 OpenAI Service
  • Understand capabilities of Azure AI Search
  • Knowledge check

Create and consume Azure AI services

  • 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

  • Consider authentication
  • Implement network security
  • Exercise - Manage Azure AI Services Security
  • Knowledge check

Monitor Azure AI services

  • Monitor cost
  • Create alerts
  • View metrics
  • Manage diagnostic logging
  • Exercise - Monitor Azure AI services
  • Knowledge check

Deploy Azure AI services in containers

  • Understand containers
  • Use Azure AI services containers
  • Exercise - Use a container
  • Knowledge check

Use AI responsibly with Azure AI Content Safety

  • What is Content Safety
  • How does Azure AI Content Safety work?
  • When to use Azure AI Content Safety
  • Exercise - Implementing Azure AI Content Safety
  • Knowledge check

Analyze images

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail and remove background
  • Exercise - Analyze images with Azure AI Vision
  • Knowledge check

Classify images

  • 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 objects in images

  • Understand object detection
  • Train an object detector
  • Consider options for labeling images
  • Exercise - Detect objects in images with Azure AI Custom Vision
  • Knowledge check

Detect, analyze, and recognize faces

  • 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

  • Explore Azure AI Vision options for reading text
  • Use the Read API
  • Exercise - Read text in images

Analyze video

  • 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

  • Provision an Azure AI Language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities
  • Exercise - Analyze text
  • Knowledge check

Create question answering solutions with Azure AI Language

  • 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

  • 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

  • Understand types of classification projects
  • Understand how to build text classification projects
  • Exercise - Classify text
  • Knowledge check

Custom named entity recognition

  • 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

  • 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

  • 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

  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations
  • Exercise - Translate speech
  • Knowledge check

Create an Azure AI Search solution

  • 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

  • Define the custom skill schema
  • Add a custom skill
  • Custom text classification skill
  • Machine learning custom skill
  • Exercise - Create a Custom Skill for Azure AI Search
  • Knowledge check

Create a knowledge store with Azure AI Search

  • Define projections
  • Define a knowledge store
  • Exercise - Create a knowledge store
  • Knowledge check

Implement advanced search features in Azure AI Search

  • Improve the ranking of a document with term boosting
  • Improve the relevance of results by adding scoring profiles
  • Improve an index with analyzers and tokenized terms
  • Enhance an index to include multiple languages
  • Improve search experience by ordering results by distance from a given reference point
  • Exercise: Implement enhancements to search results
  • Knowledge check

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

  • Index data from external data sources using Azure Data Factory
  • Index any data using the Azure AI Search push API
  • Exercise: Add to an index using the push API
  • Knowledge check

Maintain an Azure AI Search solution

  • Manage security of an Azure AI Search solution
  • Optimize performance of an Azure AI Search solution
  • Manage costs of an Azure AI Search solution
  • Improve reliability of an Azure AI Search solution
  • Monitor an Azure AI Search solution
  • Debug search issues using the Azure portal
  • Exercise - Debug search issues
  • Knowledge check

Perform search reranking with semantic ranking in Azure AI Search

  • What is semantic ranking?
  • Set up semantic ranking
  • Exercise - Use semantic ranking on an index
  • Knowledge check

Perform vector search and retrieval in Azure AI Search

  • What is vector search?
  • Prepare your search
  • Understand embedding
  • Exercise - Use the REST API to run vector search queries
  • Knowledge check

Plan an Azure AI Document Intelligence solution

  • Understand AI Document Intelligence
  • Plan Azure AI Document Intelligence resources
  • Choose a model type
  • Knowledge check

Use prebuilt Document intelligence models

  • 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

  • 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
  • Create a composed Document intelligence model
  • Understand composed models
  • Assemble composed models
  • Exercise: Create a composed model
  • Knowledge check
  • Develop applications with Azure OpenAI Service
  • Access Azure OpenAI Service
  • Integrate OpenAI into an app
  • OpenAI prompt engineering
  • Provide context with prompt engineering
  • Construct code from natural language
  • Exercise - Get started with Azure OpenAI Service
  • Knowledge check

Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

  • Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Add your own data source
  • Chat with your model using your own data
  • Exercise - Add your data for RAG with Azure OpenAI Service
  • Knowledge check

Generate images with Azure OpenAI Service

  • What is DALL-E?
  • Explore DALL-E in Azure AI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models
  • Exercise - Generate images with a DALL-E model
  • Knowledge check

Prepare to develop AI solutions on Azure

  • 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 OpenAI Service
  • Understand capabilities of Azure AI Search
  • Knowledge check

Create and consume Azure AI services

  • 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

  • Consider authentication
  • Implement network security
  • Exercise - Manage Azure AI Services Security
  • Knowledge check

Monitor Azure AI services

  • Monitor cost
  • Create alerts
  • View metrics
  • Manage diagnostic logging
  • Exercise - Monitor Azure AI services
  • Knowledge check

Deploy Azure AI services in containers

  • Understand containers
  • Use Azure AI services containers
  • Exercise - Use a container
  • Knowledge check

Use AI responsibly with Azure AI Content Safety

  • What is Content Safety
  • How does Azure AI Content Safety work?
  • When to use Azure AI Content Safety
  • Exercise - Implementing Azure AI Content Safety
  • Knowledge check

Analyze images

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail and remove background
  • Exercise - Analyze images with Azure AI Vision
  • Knowledge check

Classify images

  • 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 objects in images

  • Understand object detection
  • Train an object detector
  • Consider options for labeling images
  • Exercise - Detect objects in images with Azure AI Custom Vision
  • Knowledge check

Detect, analyze, and recognize faces

  • 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

  • Explore Azure AI Vision options for reading text
  • Use the Read API
  • Exercise - Read text in images

Analyze video

  • 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

  • Provision an Azure AI Language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities
  • Exercise - Analyze text
  • Knowledge check

Create question answering solutions with Azure AI Language

  • 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

  • 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

  • Understand types of classification projects
  • Understand how to build text classification projects
  • Exercise - Classify text
  • Knowledge check

Custom named entity recognition

  • 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

  • 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

  • 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

  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations
  • Exercise - Translate speech
  • Knowledge check

Create an Azure AI Search solution

  • 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

  • Define the custom skill schema
  • Add a custom skill
  • Custom text classification skill
  • Machine learning custom skill
  • Exercise - Create a Custom Skill for Azure AI Search
  • Knowledge check

Create a knowledge store with Azure AI Search

  • Define projections
  • Define a knowledge store
  • Exercise - Create a knowledge store
  • Knowledge check

Implement advanced search features in Azure AI Search

  • Improve the ranking of a document with term boosting
  • Improve the relevance of results by adding scoring profiles
  • Enhance an index to include multiple languages
  • Improve search experience by ordering results by distance from a given reference point
  • Exercise: Implement enhancements to search results
  • Knowledge check

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

  • Index data from external data sources using Azure Data Factory
  • Index any data using the Azure AI Search push API
  • Exercise: Add to an index using the push API
  • Knowledge check

Maintain an Azure AI Search solution

  • Manage security of an Azure AI Search solution
  • Optimize performance of an Azure AI Search solution
  • Manage costs of an Azure AI Search solution
  • Improve reliability of an Azure AI Search solution
  • Monitor an Azure AI Search solution
  • Debug search issues using the Azure portal
  • Exercise - Debug search issues
  • Knowledge check

Perform search reranking with semantic ranking in Azure AI Search

  • What is semantic ranking?
  • Set up semantic ranking
  • Exercise - Use semantic ranking on an index
  • Knowledge check

Perform vector search and retrieval in Azure AI Search

  • What is vector search?
  • Prepare your search
  • Understand embedding
  • Exercise - Use the REST API to run vector search queries
  • Knowledge check

Plan an Azure AI Document Intelligence solution

  • Understand AI Document Intelligence
  • Plan Azure AI Document Intelligence resources
  • Choose a model type
  • Knowledge check
  • Use prebuilt Document intelligence models
  • 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

  • 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

Create a composed Document intelligence model

  • Understand composed models
  • Assemble composed models
  • Exercise: Create a composed model
  • Knowledge check

Develop applications with Azure OpenAI Service

  • Access Azure OpenAI Service
  • Integrate OpenAI into an app
  • OpenAI prompt engineering
  • Provide context with prompt engineering
  • Construct code from natural language
  • Exercise - Get started with Azure OpenAI Service
  • Knowledge check

Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

  • Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Add your own data source
  • Chat with your model using your own data
  • Exercise - Add your data for RAG with Azure OpenAI Service
  • Knowledge check

Generate images with Azure OpenAI Service

  • What is DALL-E?
  • Explore DALL-E in Azure AI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models
  • Exercise - Generate images with a DALL-E model
  • Knowledge check

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