Azure AI Services | Developer Resources

Azure AI Overview

Azure AI provides a comprehensive suite of AI services that enable developers to build intelligent applications without requiring deep expertise in machine learning. From pre-built APIs to custom model training, Azure has tools for every AI need.

Azure OpenAI Service

Access powerful language models including GPT-4, GPT-3.5, and Codex:

using Azure;
using Azure.AI.OpenAI;

var client = new OpenAIClient(
    new Uri("https://your-resource.openai.azure.com/"),
    new AzureKeyCredential("your-api-key"));

var completionsOptions = new ChatCompletionsOptions()
{
    DeploymentName = "gpt-4",
    Messages =
    {
        new ChatRequestUserMessage("Explain quantum computing")
    }
};

var response = await client.GetChatCompletionsAsync(completionsOptions);
Console.WriteLine(response.Value.Choices[0].Message.Content);
            

Azure Cognitive Services

Vision: Image analysis, OCR, face detection
Speech: Speech-to-text, text-to-speech, translation
Language: Sentiment analysis, entity recognition, QnA
Decision: Anomaly detection, content moderation

Azure Machine Learning

Build, train, and deploy custom machine learning models:

Automated ML for no-code model creation
Designer for drag-and-drop ML pipelines
Notebooks for data science workflows
MLOps for model deployment and monitoring

Example: Sentiment Analysis

using Azure.AI.TextAnalytics;

var client = new TextAnalyticsClient(
    new Uri("https://your-resource.cognitiveservices.azure.com/"),
    new AzureKeyCredential("your-api-key"));

var response = await client.AnalyzeSentimentAsync("Azure AI is amazing!");
Console.WriteLine($"Sentiment: {response.Value.Sentiment}");
Console.WriteLine($"Positive: {response.Value.ConfidenceScores.Positive:P}");
            

Getting Started

Create an Azure AI Services resource in the portal
Choose the appropriate pricing tier for your needs
Use the SDK or REST API to integrate with your application
Monitor usage and performance in Azure Portal