Azure OpenAI Service & Responsible AI Deployment

Name: Azure OpenAI Service & Responsible AI Deployment
Availability: InStock

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.

4.80/5.0

9 hours

0 enrolled

Updated May 2026

Course Content ↓

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By Sara Okonkwo

What You'll Learn

Explain the architecture differences between Azure OpenAI Service and the public OpenAI API, including data residency and enterprise controls

Deploy GPT-4o and embedding models via Azure AI Foundry and call them from Python using both REST and the Azure OpenAI SDK

Build a RAG pipeline connecting Azure AI Search to Azure OpenAI with hybrid keyword-and-vector retrieval

Apply Microsoft's six Responsible AI principles and configure Azure OpenAI content filters to handle harm categories and Prompt Shield attacks

Implement Semantic Kernel plugins and agents to orchestrate multi-step AI workflows in production

Evaluate token costs, configure retry logic, and instrument LLM calls with Azure Monitor and Application Insights

Prerequisites

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)

About the Instructor

Sara Okonkwo

Expert instructor with hands-on industry experience in Ai Ml.

Included in paid plans

LevelIntermediate

Duration9 hours

Lessons—

Students0

Rating4.80 / 5.0

This course includes

Hands-on practice labs
AI-powered explanations
Progress tracking
Certificate of completion
Lifetime access

30-day money-back guarantee