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AI and Machine Learning
premium
Azure AI Vision
The Azure vision service that analyzes images and visual content for tasks such as OCR, object information, captions, tags, and image understanding.
AI services
intermediate
4 commands
Aliases: Azure Vision, Computer Vision, Image Analysis, Vision in Foundry Tools
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AI and Machine Learning
premium
Computer Vision
the Azure AI capability that helps applications understand images, read text, detect visual features, and return structured insights from pictures or screenshots
Azure AI services
fundamentals
12 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Custom Vision
an Azure AI service for building, training, publishing, and improving custom image classification models from labeled images.
Azure AI Vision
fundamentals
4 commands
Aliases: Azure AI Custom Vision, Custom Vision Service, custom image classifier
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AI and Machine Learning
field-manual-complete
Vision service
Azure AI Vision is a cloud service for analyzing images and visual content. It returns information such as captions, detected objects, extracted text, tags, spatial signals, and face-related attributes so applications can automate image understanding, search, review, and workflow decisions.
Azure AI Vision
intermediate
5 commands
Aliases: Azure AI Vision, Computer Vision, Vision API, Azure Vision
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AI and Machine Learning
premium
Face API
The Face API is an Azure AI service API that provides face detection, recognition, verification, identification, grouping, and related face analysis capabilities. Teams use it to build applications that detect faces in images, compare faces, verify identity scenarios, support liveness workflows, or organize face-related image data under approved responsible AI controls. It is not a general computer vision labeler, proof of identity by itself, a surveillance policy, or permission to use biometric capabilities without legal, privacy, and access review.
Azure AI services
intermediate
6 commands
Aliases: Azure AI Face, Azure Face API, Face service
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AI and Machine Learning
premium
Face service
Face service is an Azure AI service that provides APIs for face detection, face analysis, verification, identification, grouping, and liveness-related workflows under approved access controls. Teams use it to build applications that detect faces in images, compare face evidence, verify approved identity scenarios, support liveness checks, or manage face lists within privacy and responsible AI controls. It is not a general image classification service, legal approval to process biometric data, a replacement for human identity review, or a guarantee that every face decision is correct.
Azure AI services
intermediate
6 commands
Aliases: Azure AI Face, Azure AI Face service, Azure Face service, Face API, Azure AI services Face
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AI and Machine Learning
premium
Form Recognizer
Form Recognizer is the former name for Azure AI Document Intelligence, an Azure AI service that analyzes documents and extracts text, tables, layout, and structured fields. Teams use it to turn invoices, receipts, IDs, contracts, forms, and scanned documents into structured data for applications, workflow automation, search indexing, review queues, and compliance processing. It is not a human legal review, a guarantee that every extracted field is correct, a storage system for regulated documents, or a reason to skip confidence thresholds and validation logic.
Azure AI Document Intelligence
intermediate
6 commands
Aliases: Azure Form Recognizer, Azure AI Document Intelligence, Document Intelligence, Azure AI Form Recognizer
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AI and Machine Learning
premium
Document Intelligence
Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, layout, tables, key-value pairs, and fields from documents.
Document Intelligence
fundamentals
5 commands
Aliases: Azure AI Document Intelligence, Azure Document Intelligence, Form Recognizer, intelligent document processing
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AI and Machine Learning
premium
Image Analysis
Image Analysis is an Azure AI Vision capability that uses pretrained models to extract visual features, text, people, objects, tags, and captions from images.
Azure AI Vision
intermediate
4 commands
Aliases: Analyze Image, Azure AI Vision Image Analysis, Computer Vision Image Analysis, image analysis, Image Analysis
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AI and Machine Learning
verified
Optical character recognition
Optical character recognition is an Azure AI capability that extracts printed or handwritten text from images and documents. In Azure Vision and Document Intelligence, Read OCR returns text lines, words, locations, confidence scores, languages, and document-aware structure for downstream search, automation, and analysis.
AI platform and search
intermediate
7 commands
Aliases: OCR, Optical Character Recognition, Azure OCR, Azure AI Vision OCR, Document Intelligence Read, text extraction from images
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AI and Machine Learning
verified
OCR
OCR, or optical character recognition, is an Azure AI capability for extracting printed and handwritten text from images and documents. Azure Vision and Document Intelligence expose Read OCR models that return text lines, words, locations, and confidence scores for supported languages and deployment scenarios.
Azure AI services
intermediate
5 commands
Aliases: Optical character recognition, Read OCR, Azure Vision OCR, text extraction from images
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AI and Machine Learning
premium
Azure AI services
Azure AI services is the family of Azure cloud AI APIs and resources, surfaced through Foundry Tools, for vision, speech, language, translation, content, and generative scenarios.
AI services
fundamentals
4 commands
Aliases: AI services, Azure AI services account, Cognitive Services, Foundry Tools
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AI and Machine Learning
premium
Azure AI services account
An Azure resource that provides endpoints, keys, identity, networking, billing, and monitoring for one or more Azure AI service capabilities.
Azure AI services
fundamentals
4 commands
Aliases: AI services account, Azure AI multi-service resource, Foundry resource, Microsoft.CognitiveServices account
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AI and Machine Learning
premium
Azure AI Foundry
Create a governed project boundary where AI teams can build agents, evaluations, files, and model deployments without unmanaged sprawl.; Compare, evaluate, and approve model deployments before a generative AI feature is
AI platform
fundamentals
5 commands
Aliases: AI Foundry, Microsoft Foundry, Foundry resource, Foundry project, Azure AI Foundry, azure ai foundry
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AI and Machine Learning
premium
Azure AI Search index
An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index
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AI and Machine Learning
premium
Azure AI Search indexer
An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer
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AI and Machine Learning
premium
Azure AI Content Safety
Azure AI Content Safety is the Azure AI service used to detect harmful text and image content before it reaches users, moderators, or automated workflows. In Azure, teams encounter it when applications accept user posts, comments, uploads, prompts, or model outputs that need moderation and policy review. The useful question is what behavior it proves,
Responsible AI
advanced
4 commands
Aliases: Content Safety, Azure Content Safety, harm detection, content moderation API
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AI and Machine Learning
premium
Azure AI Foundry hub
Azure AI Foundry hub is the classic Foundry hub resource used to group AI projects that share common security, data access, connections, and platform settings. In Azure, teams encounter it when teams need hub-based projects for selected Foundry and Azure Machine Learning scenarios such as fine-tuning, shared connections, and custom ML work. The useful question
AI platform
advanced
4 commands
Aliases: AI Hub, Foundry AI Hub, hub-based project, Azure AI hub
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AI and Machine Learning
premium
Azure AI Foundry project
An Azure AI Foundry project is the working area where a team builds and organizes an AI application inside Microsoft Foundry. It keeps related agents, evaluations, files, indexes, tools, connections, and model usage together instead of scattering them across a shared portal. Think of it as the project boundary for one AI product, prototype, or team. It is useful because AI work quickly becomes messy: prompts, test data, model deployments, safety checks, and access decisions all need a home with ownership and repeatable operations.
AI platform
advanced
4 commands
Aliases: AI Foundry project, AI project, Foundry project, Microsoft Foundry project
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AI and Machine Learning
premium
Azure AI Language
Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities.
AI services
intermediate
4 commands
Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service
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AI and Machine Learning
premium
Azure AI metrics
Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes.
Azure AI services
intermediate
4 commands
Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection
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AI and Machine Learning
premium
Azure AI Search
Azure AI Search is a managed retrieval service for full-text, vector, hybrid, and semantic search across application and enterprise content. It provides search services, indexes, indexers, skillsets, ranking features, security controls, and APIs used by apps, copilots, and knowledge portals.
Search
fundamentals
4 commands
Aliases: Azure AI Search, AI Search, Azure Cognitive Search, enterprise search, vector search, hybrid search, semantic search, Search service
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AI and Machine Learning
premium
Azure AI Search data source
Azure AI Search data source is the connection definition an Azure AI Search indexer uses to read content from a supported external data store.
AI platform and search
intermediate
4 commands
Aliases: Search data source, SearchIndexerDataSourceConnection, data source connection, indexer data source, search data source connection
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AI and Machine Learning
premium
Azure AI Search service
Azure AI Search service is the Azure resource that hosts Azure AI Search indexes, indexers, skillsets, keys, capacity, networking, and query endpoints.
AI platform and search
intermediate
4 commands
Aliases: AI Search resource, AI Search service, Azure Search service, Search service, search service
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AI and Machine Learning
premium
Azure AI Search skillset
Azure AI Search skillset is a reusable Azure AI Search enrichment object that applies built-in or custom processing during indexer execution.
AI platform and search
intermediate
4 commands
Aliases: AI enrichment skillset, Search skillset, cognitive skillset, skillset
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AI and Machine Learning
premium
Azure AI Speech
The Azure speech service for converting speech to text, text to speech, speech translation, pronunciation assessment, and related speech-enabled capabilities.
AI services
intermediate
4 commands
Aliases: Azure Speech, Speech in Foundry Tools, Speech service, Speech-to-text
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AI and Machine Learning
premium
Azure AI Translator
A cloud-based machine translation service for translating text and documents across supported languages through REST APIs and client libraries.
AI services
intermediate
4 commands
Aliases: Azure Translator, Document Translation, Text Translation, Translator
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AI and Machine Learning
premium
Multi-service AI account
Multi-service AI account means a shared Azure AI services account for applications that need several supported AI capabilities from one governed endpoint boundary. You see it when teams connect language, vision, speech, translation, or content-understanding features to production applications. Think of it as one managed account boundary for several AI capabilities, not one unlimited permission bucket. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path.
Azure AI services
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Multi-service AI resource
Multi-service AI resource means an Azure AI resource that exposes supported AI service capabilities through one managed resource object. You see it when teams build applications that combine language, vision, speech, translation, or content services without creating a separate resource for every feature. Think of it as one Azure resource boundary for supported AI capabilities, with identity, network, monitoring, and billing attached. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path.
Azure AI services
fundamentals
4 commands
Aliases: No aliases yet
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AI and Machine Learning
command-rich
Data source in AI Search
Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure.
Azure AI Search
intermediate
6 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-complete
Private endpoint for AI service
A private endpoint for an AI service is the private network doorway to an Azure AI services account. Applications still call the service endpoint they are configured to use, but clients inside the linked network can resolve that name to a private IP instead of reaching across a public path. It is useful when document processing, language analysis, speech, content safety, or vision workloads handle sensitive data. It does not replace authentication, keys, managed identity, or responsible AI controls.
AI platform and search
intermediate
5 commands
Aliases: No aliases yet
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AI and Machine Learning
complete
Single-service AI account
An Azure AI services resource dedicated to one service kind, with its own endpoint, keys, region, SKU, monitoring, and billing.
AI services
intermediate
5 commands
Aliases: single service AI resource, single-service Azure AI resource, dedicated AI services account
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AI and Machine Learning
premium
Azure OpenAI resource
An Azure OpenAI resource is the Azure control-plane boundary that hosts deployments, endpoints, access, networking, and billing context.
Azure OpenAI
fundamentals
12 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI Service
Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls.
Generative AI
fundamentals
11 commands
Aliases: Azure OpenAI
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AI and Machine Learning
premium
Azure OpenAI
Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls.
Azure OpenAI
intermediate
8 commands
Aliases: Azure OpenAI Service
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Databases
premium
Azure Managed Redis
Azure Managed Redis is a Microsoft-managed in-memory data store based on Redis Enterprise, used for low-latency caching, session storage, messaging, and semantic cache scenarios.
Managed cache
intermediate
6 commands
Aliases: Managed Redis, Redis Enterprise on Azure, Azure Redis Enterprise
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Databases
premium
Azure Database for PostgreSQL Flexible Server
A fully managed Azure PostgreSQL service with configurable compute, storage, backups, networking, maintenance, extensions, and high availability options.
Managed PostgreSQL
intermediate
5 commands
Aliases: PostgreSQL Flexible Server
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Analytics
premium
Azure Databricks
A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale.
Data engineering and AI
intermediate
5 commands
Aliases: Databricks on Azure
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Analytics
premium
Azure Databricks Unity Catalog
A unified governance layer in Azure Databricks for data and AI assets, including catalogs, schemas, tables, volumes, models, privileges, and lineage.
Data governance
intermediate
5 commands
Aliases: Unity Catalog
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AI and Machine Learning
premium
Azure Machine Learning
Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps.
Machine learning operations
advanced
5 commands
Aliases: Azure ML, AML, Machine Learning workspace
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Storage
premium
Azure Managed Lustre
Azure Managed Lustre is a managed parallel file system for high-performance computing and AI workloads that need scalable, low-latency file storage in Azure.
Parallel file systems
advanced
5 commands
Aliases: Managed Lustre, Azure Managed Lustre File System, AMLFS
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AI and Machine Learning
premium
Azure OpenAI managed identity
Azure OpenAI managed identity uses Microsoft Entra identities so Azure workloads can call model endpoints without stored keys.
Azure OpenAI
intermediate
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
AI connection
AI connection is a Microsoft Foundry project connection that links the project to an external or Azure resource such as models, storage, search, or services. In everyday Azure work, teams use it to let AI applications and agents use approved resources without every prototype hardcoding endpoints and credentials. The useful evidence is connection name, target
AI platform
intermediate
4 commands
Aliases: Foundry connection, AI project connection, connected resource, AI service connection
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Databases
premium
Azure Cosmos DB
Azure Cosmos DB is a fully managed database service for NoSQL, relational, and vector workloads. It supports global distribution, elastic scale, multiple APIs, request-unit capacity, backup, and high availability so modern applications can store and query data without operating database servers.
Azure Cosmos DB
fundamentals
4 commands
Aliases: Azure Cosmos DB, Cosmos DB, Azure Cosmos DB for NoSQL, Cosmos database, global NoSQL database, request-unit database
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Databases
premium
Azure Cosmos DB for NoSQL
The native document database API of Azure Cosmos DB for JSON data, SQL-like queries, partitioning, indexing, and scalable request-unit throughput.
Azure Cosmos DB
intermediate
4 commands
Aliases: Cosmos DB NoSQL API, Azure Cosmos DB SQL API
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Management and Governance
premium
Azure data plane
The Azure data plane is the part of Azure you use after a resource exists, when you interact with the capability that resource provides. Microsoft Learn anchors this term in Azure control plane and data plane, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended. In field use, start with the technical boundary: Technically, data-plane operations are service-specific operations against.
Azure Resource Manager
fundamentals
4 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
AI evaluation
AI evaluation is the Microsoft Foundry process of testing a generative AI model, agent, or application against a dataset and measuring its quality, safety, and task performance with built-in or custom evaluators.
Microsoft Foundry
intermediate
3 commands
Aliases: Azure AI evaluation, Foundry evaluation, generative AI evaluation, model evaluation
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AI and Machine Learning
premium
AI quota
AI quota is the Azure allocation that limits model deployment capacity, usually by subscription, region, model, and deployment type, using measures such as tokens per minute, requests per minute, concurrent requests, or provisioned throughput.
Microsoft Foundry
intermediate
3 commands
Aliases: Foundry quota, Azure OpenAI quota, model quota, TPM quota, RPM quota
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AI and Machine Learning
premium
AI red teaming
AI red teaming is the practice of probing a generative AI system with adversarial prompts, attack strategies, and risk categories to discover unsafe behavior, jailbreak weaknesses, and harmful-output paths before or after deployment.
Responsible AI
advanced
3 commands
Aliases: AI Red Teaming Agent, red team scan, adversarial AI testing, LLM red teaming
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Monitoring and Observability
premium
AI service diagnostic settings
AI service diagnostic settings are Azure Monitor settings on an Azure AI or Foundry Tools resource that route resource logs and platform metrics to destinations such as Log Analytics, Storage, or Event Hubs for investigation and retention.
Azure Monitor
intermediate
3 commands
Aliases: Azure AI diagnostic settings, Foundry Tools diagnostic logging, Cognitive Services diagnostic settings, AI resource logs
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