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Ai Ml · Microsoft · intermediate

Azure OpenAI Service & Responsible AI Deployment

Go from zero to production with Azure OpenAI Service — deploy GPT-4o, build retrieval-augmented generation (RAG) pipelines with Azure AI Search, implement content safety filters, and ship monitored, cost-efficient AI applications using Semantic Kernel. Built around Microsoft's Responsible AI principles and real enterprise deployment patterns.

  • 9 hours
  • 17 lessons
  • 4 modules
  • updated May 2026
Module 1 freeNo credit cardFull course from $8.99/mo
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Try it before you sign up

Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.

free lesson · read · 25 min

Azure OpenAI Architecture, Models, and Deployments

Azure OpenAI Service brings OpenAI's models into Microsoft's cloud infrastructure — giving enterprises data residency guarantees, private networking, Microsoft Entra ID authentication, and SLA-backed uptime. This module…
question 1 of 3 · from the Module 1 quiz
You are deploying a healthcare application that processes patient notes using Azure OpenAI. Which authentication method should you use in production?
Pick an answer.
curriculum

4 modules, 17 lessons

Module 1 is free — lessons, hands-on walkthrough and quiz.

  • readAzure OpenAI Architecture, Models, and Deployments25 min
  • videoIntroduction to Azure OpenAI20 min
  • hands-onHands-On: Deploy a Model and Call the Azure OpenAI API20 min
  • quizModule 1 Quiz: Azure OpenAI Fundamentals10 min
how it's built

Built by the CloudaQube team

No celebrity instructor — here is exactly what goes into the course instead.

  • 01 5 guided hands-on walkthroughs you run in your own Azure subscription.
  • 02 4 module quizzes — every answer comes with an explanation.
  • 03 Last updated May 2026.
  • 04 Any module can become a hands-on lab in Labs Studio.
outcomes

What you'll be able to do

  • 01 Explain the architecture differences between Azure OpenAI Service and the public OpenAI API, including data residency and enterprise controls
  • 02 Deploy GPT-4o and embedding models via Azure AI Foundry and call them from Python using both REST and the Azure OpenAI SDK
  • 03 Build a RAG pipeline connecting Azure AI Search to Azure OpenAI with hybrid keyword-and-vector retrieval
  • 04 Apply Microsoft's six Responsible AI principles and configure Azure OpenAI content filters to handle harm categories and Prompt Shield attacks
  • 05 Implement Semantic Kernel plugins and agents to orchestrate multi-step AI workflows in production
  • 06 Evaluate token costs, configure retry logic, and instrument LLM calls with Azure Monitor and Application Insights
before you start
  • — Python proficiency — functions, classes, async/await, pip packages
  • — Basic familiarity with REST APIs and JSON
  • — An Azure subscription (free tier is sufficient for most exercises)
questions

Before you start

What do I need for the hands-on walkthroughs?

An Azure subscription — a free account works for most walkthroughs. Delete what you create when you finish so you don’t keep paying.

How long does it take?

About 9 hours of lessons, videos and hands-on walkthroughs across 4 modules.

What’s free?

Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 4 modules, and starts with a 14-day free trial.

get started

Start the course with Module 1 free.

No card required. Unlock every module from $8.99/mo when you’re ready.

See pricing
      Azure OpenAI Service & Responsible AI Deployment — Online Course | CloudaQube