Getting Started with Azure OpenAI Service - Complete Guide

Introduction

Azure OpenAI Service brings the power of OpenAI language models to Azure, giving you enterprise-grade security, compliance, and seamless integration.

In this guide, I will walk you through setting up Azure OpenAI and building your first AI-powered application.

Prerequisites

• Azure subscription
• Azure OpenAI Service access (request approval needed)
• .NET SDK or Python

Step 1: Request Access

1. Go to Azure Portal
2. Search for Azure OpenAI
3. Create resource and request access

Step 2: Deploy Model

az cognitiveservices account deployment create \n  --name my-openai \n  --resource-group my-rg \n  --deployment-name gpt-4 \n  --model-name gpt-4 \n  --sku-name Standard

Step 3: Connect in C

using Azure.AI.OpenAI;

var client = new OpenAIClient(
    new Uri("https://YOUR_RESOURCE.openai.azure.com/"),
    new AzureKeyCredential("YOUR_API_KEY"));

var response = await client.GetChatCompletionsAsync(
    "gpt-4",
    new ChatCompletionsOptions {
        Messages = {
            new ChatMessage(ChatRole.User, "Hello!")
        }
    });

Console.WriteLine(response.Value.Choices[0].Message.Content);

Step 4: Build a Chat App

Full console application code included in the article.

Best Practices

1. Rate Limiting - Implement retry logic
2. Content Safety - Use built-in filters
3. Cost Management - Set up budgets

Enterprise Features

• Virtual Network support
• Managed Identity
• Customer-managed keys
• Audit logging

Whats Next?

Build a Q&A bot, code review assistant, or customer support chatbot!

---

Azure #OpenAI #AI #Tutorial