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

Das AI-102 Training vermittelt Kenntnisse zur Entwicklung und Implementierung von Azure AI-Lösungen, einschließlich der Nutzung von Azure AI Services, Azure Machine Learning, Azure Bot Service und Microsoft Bot Framework für intelligente Anwendungen. Teilnehmende lernen, wie sie KI-Funktionen für Text-, Sprach- und Bildanalyse einsetzen. Das Training nutzt Python oder C#.

Alle Inhalte werden in einer ausgewogenen Mischung aus Theorie und praktischen Hands-on Labs vermittelt.

Die Inhaltslisten sind auf Englisch, um Nähe zur Originaldokumentation der Technologien zu gewährleisten. Deutsche Unterlagen auf Anfrage verfügbar.

 

Getting Started with Azure AI Services

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 (Azure Cognitive Search)

 

Create and consume Azure AI services

• Provision an Azure AI services resource
• Identify endpoints and keys
• Use a REST API
• Use an SDK

 

Secure Azure AI services

• Consider authentication
• Implement network security

 

Monitor Azure AI services

• Monitor cost
• Create alerts
• View metrics
• Manage diagnostic logging

 

Deploy Azure AI services in containers

• Understand containers
• Use Azure AI services containers

 

Classify and moderate text with Azure Content Moderator

• Overview of text moderation
• Create and subscribe to a Content Moderator resource

 

Computer Vision

Analyze images

• Provision an Azure AI Vision resource
• Analyze an image
• Generate a smart-cropped thumbnail and remove background

 

Image classification with custom Azure AI Vision models

• Understand custom model types
• Create a custom project
• Label and train a custom model

 

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

 

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

• Explore Azure AI Vision options for reading text
• Use the Read API

 

Analyze video

• Understand Azure Video Indexer capabilities
• Extract custom insights
• Use Video Analyzer widgets and APIs

 

Natural Language Processing

Analyze text with Azure AI Language

• Provision an Azure AI Language resource
• Detect language
• Extract key phrases
• Analyze sentiment
• Extract entities
• Extract linked entities

 

Build a question answering solution

• 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

 

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

 

Create a custom text classification solution

• Understand types of classification projects
• Understand how to build text classification projects

 

Custom named entity recognition

• Understand custom named entity recognition
• Label your data
• Train and evaluate your model

 

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

 

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

 

Translate speech with the Azure AI Speech service

• Provision an Azure resource for speech translation
• Translate speech to text
• Synthesize translations

 

Knowledge Mining

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

 

Create a custom skill for Azure AI Search

• Create a custom skill
• Add a custom skill to a skillset

 

Create a knowledge store with Azure AI Search

• Define projections
• Define a knowledge store

 

Enrich your data with Azure AI Language

• Explore the available features of Azure AI Language
• Enrich a search index in Azure AI Search with custom classes and Azure AI Language

 

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

 

Build an Azure Machine Learning custom skill for Azure AI Search

• Understand how to use a custom Azure Machine Learning skillset
• Enrich a search index using an Azure Machine Learning model

 

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

 

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 portal5 min

 

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

• What is semantic ranking?
• Set up semantic ranking

 

Perform vector search and retrieval in Azure AI Search

• What is vector search?
• Prepare your search
• Understand embedding

 

Document Intelligence

Plan an Azure AI Document Intelligence solution

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

 

Use prebuilt Form Recognizer models

• Understand prebuilt models
• Use the General Document, Read, and Layout models
• Use financial, ID, and tax models

 

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

 

Create a composed Form Recognizer model

• Understand composed models
• Assemble composed models

 

Build a Document Intelligence custom skill for Azure AI Search

• Understand Azure AI Search enrichment pipelines
• Build an Azure AI Document Intelligence custom skill

 

Develop Generative AI solutions with Azure OpenAI Service

Get started with Azure OpenAI Service

• 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

 

Build natural language solutions with Azure OpenAI Service

• Integrate Azure OpenAI into your app
• Use Azure OpenAI REST API
• Use Azure OpenAI SDK

 

Apply prompt engineering with Azure OpenAI Service

• Understand prompt engineering
• Write more effective prompts
• Provide context to improve accuracy

 

Generate code with Azure OpenAI Service

• Construct code from natural language
• Complete code and assist the development process
• Fix bugs and improve your code

 

Generate images with Azure OpenAI Service

• What is DALL-E?
• Explore DALL-E in Azure OpenAI Studio
• Use the Azure OpenAI REST API to consume DALL-E models

 

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

 

Fundamentals of Responsible Generative AI

• Plan a responsible generative AI solution
• Identify potential harms
• Measure potential harms
• Mitigate potential harms
• Operate a responsible generative AI solution

 

Das Training richtet sich an Entwickler*innen und IT-Profis mit Grundkenntnissen in Python oder C#, die AI-Lösungen auf Azure entwickeln möchten. Ein Grundverständnis von Machine Learning-Konzepten und Azure-Services wird empfohlen.