Azure AI Services

Build intelligent applications with Azure's comprehensive suite of AI services.

Unlock the Power of Artificial Intelligence

Azure AI services offer a broad range of AI capabilities that developers can use to build intelligent applications without requiring machine learning expertise. From understanding language and vision to making recommendations and predictions, Azure AI empowers you to infuse intelligence into your solutions.

🤖 Azure Cognitive Services

Leverage pre-built AI models to add vision, speech, language, and decision-making capabilities to your applications.

Explore Cognitive Services

🧠 Azure Machine Learning

Build, train, and deploy machine learning models at scale with a managed cloud service.

Discover Machine Learning

🌐 Azure Bot Service

Create, connect, and manage intelligent bots that interact with your users in natural language.

Build with Bot Service

📊 Azure Applied AI Services

Quickly integrate advanced AI capabilities with pre-built, industry-specific solutions.

Learn about Applied AI

Getting Started with Azure AI

Begin your journey with Azure AI by exploring our extensive documentation, hands-on tutorials, and quickstart guides. Whether you're a seasoned data scientist or a beginner developer, Azure provides the tools and resources you need to succeed.

Key Documentation Topics:

Example Scenario: Image Recognition

Let's say you want to build an application that can identify objects in images. You can use Azure Computer Vision, a part of Azure Cognitive Services. Here's a simplified code snippet showing how you might call the API (using Python):


from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from msrest.authentication import CognitiveServicesCredentials

# Replace with your subscription key and endpoint
subscription_key = "YOUR_SUBSCRIPTION_KEY"
endpoint = "YOUR_ENDPOINT"

computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))

image_url = "https://learn.microsoft.com/azure/cognitive-services/computer-vision/media/analyze-image/ns-analyze-image.png"

analysis = computervision_client.analyze_image(image_url=image_url)

print("Tags:")
for tag in analysis.tags:
    print(f"- {tag.name} ({tag.confidence:.2f})")
        

This snippet demonstrates a basic call to the analyze_image method, which returns a list of tags describing the content of the image, along with a confidence score.

💡 Tutorials

Step-by-step guides to implement common AI scenarios.

View Tutorials

🚀 Quickstarts

Get started quickly with pre-written code samples.

Try Quickstarts

💬 Community Forum

Connect with other Azure AI developers and experts.

Join the Discussion