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

 

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