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Implement .NET workflows for Azure AI Foundry projects, including agent creation, resource connections, dataset uploads, model deployment inspection, search index management, and evaluations. Examples also cover authentication, asynchronous operations, and resource cleanup.

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• Creating and running agents from a .NET application
• Inspecting resource connections and model deployments
• Uploading datasets and managing search indexes

Build Python image analysis with Azure AI Vision to generate captions and tags, locate objects and people, and extract text using OCR, or optical character recognition. It also provides suggested crop regions.

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• Generate image captions and content tags
• Extract text from images
• Locate objects and people in photos

Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.

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• Detect unusual values in a single time series
• Check the latest incoming measurement for anomalies
• Find changes in time-series trends

Follow guidance to create and operate Kubernetes clusters on Azure Kubernetes Service. Configure groups of worker machines, automatic scaling, networking, monitoring, identity integration, and upgrades, with command examples and Terraform configuration for repeatable setup.

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• Create an AKS cluster on Azure
• Add GPU or spot node pools and configure automatic scaling
• Connect monitoring, Key Vault, and Azure Container Registry

Manage container images in Azure Container Registry using Python. Inspect repositories, tags, and image metadata, protect images from deletion, download image data, and identify older untagged images for cleanup.

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• Inspect image tags and metadata
• Protect production images from deletion
• Clean up older untagged images

Build Python text analysis with Azure AI Language to detect sentiment, names, key phrases, languages, and personal information. Examples also cover healthcare terminology extraction, combined analyses, authentication, and handling results for multiple documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyzing sentiment about specific aspects of a review
• Detecting and redacting personal information
• Extracting names and key phrases from text

Build server-side calling workflows in Java with Azure Communication Services. Implement automated phone menus, incoming and outgoing calls, transfers, recording, spoken prompts, and recognition of speech or keypad input, with examples for handling call events.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building automated phone menus in Java
• Routing incoming calls to another number
• Adding spoken prompts and keypad or speech input

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

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• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

Use Azure's Python transcription client to turn audio files into text and review timestamped results. Covers authentication, installed SDK options, and error handling, while clarifying when streaming or asynchronous batch work needs a different Speech API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transcribe a local recording with consent
• Review timestamped transcription output
• Check authentication and installed SDK options

Build real-time voice assistants in .NET with Azure AI. Covers two-way audio communication, text and audio responses, detecting when a speaker finishes, and calling functions to connect conversations with external services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a real-time voice assistant in .NET
• Configure voices and detect when speakers finish
• Connect voice conversations to external services

Implement Python services for Azure Cosmos DB NoSQL with guidance for authentication, data models, database operations, and tests. Separate business logic from storage access, validate data access permissions, and use reusable templates for consistent implementation.

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• Adding Cosmos DB storage to a FastAPI application
• Separating database access from business logic
• Configuring Azure and local emulator authentication

Build Java applications that exchange live audio with AI assistants using Azure AI VoiceLive. The skill covers authentication, streaming sessions, speech detection, voice selection, transcription, and handling responses over WebSocket, a persistent two-way connection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a real-time voice assistant in Java
• Configuring speech detection and interruptions
• Adding transcription and noise reduction

Build text translation into Python applications with Azure AI Translator. Covers translation into multiple languages, language detection, transliteration to another writing system, dictionary entries, usage examples, and asynchronous requests for handling larger workloads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add multilingual text translation to a Python app
• Detect the language of incoming text
• Convert text between writing systems

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

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• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.

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• Implement product record creation, updates, and deletion
• Filter records and retrieve only the required fields
• Update records together within the same partition

Write Python code to manage settings in Azure App Configuration. Covers reading, updating, filtering, and locking settings, managing feature flags that switch features on or off, and creating snapshots of configuration values.

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• Read and update shared application settings from Python
• Separate development and production values with labels
• Manage feature flags that enable or disable features

Build Java applications that store, query, update, and delete data in Azure Cosmos DB. Covers synchronous and asynchronous clients, partition keys for distributing data, consistency settings, request usage, and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing database operations in a Java application
• Building asynchronous data processing
• Reviewing partition keys and consistency settings

Helps implement centralized settings management in Java with Azure App Configuration. Covers environment-specific settings, feature flags that control feature availability, and snapshots that preserve settings at a particular point in time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manage settings separately for development and production
• Configure feature flags for gradual rollouts
• Preserve release settings in snapshots

Build chat features in Java with Azure Communication Services. The skill guides conversation thread creation, message sending and editing, participant management, read receipts, and typing notifications, with examples for authentication, pagination, and error handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding chat features to a Java application
• Managing participants and shared message history
• Implementing read receipts and typing notifications

Build TypeScript code for Azure AI Foundry projects using its SDK, a library for accessing project services. Create and run agents, inspect connections and deployed models, and manage datasets and search indexes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating and running agents in TypeScript
• Adding file search or external tools to agents
• Inspecting project connections and deployed models

Implement SMS notifications, verification code delivery, and bulk messaging in Java with Azure Communication Services. Covers authentication, asynchronous sending, per-recipient results, error handling, and delivery reports received through Azure Event Grid.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sending verification codes by SMS
• Adding order notifications and alerts
• Sending the same message to multiple recipients

Manage Azure Machine Learning resources from Python with SDK v2. The skill provides implementation examples for registering data and models, configuring compute and environments, submitting training jobs, monitoring logs, and connecting steps into pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Submitting training jobs and monitoring logs
• Registering data and model versions
• Connecting preprocessing and training steps

Build and maintain an inventory of hardware, software, and cloud resources. Use guidance on automated discovery, ownership records, tagging checks, and integration with a configuration database to support operations and audit preparation.

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• Defining fields for an IT asset inventory
• Planning resource discovery across AWS, Azure, and GCP
• Checking ownership and cost allocation tags