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Azure OpenAI Service Essentials

Azure OpenAI Service Essentials

Learn Azure OpenAI Service, GPT Models, Prompt Engineering & Build AI Apps with Python!
Created byE-Learning Edge
Last updated 8/2026
English

What you'll learn

  • Understand Azure OpenAI Service and the latest Azure OpenAI model families
  • Choose the right AI model based on capabilities, performance, cost, and use case
  • Write effective prompts using zero-shot, one-shot, and few-shot prompting techniques
  • Generate structured outputs such as JSON, tables, lists, and Markdown responses
  • Build and manage multi-turn conversations while maintaining context
  • Work with image inputs, visual understanding, and OCR capabilities
  • Build a conversational Python application using Azure OpenAI Service
  • Apply responsible AI practices, including content filtering, prompt injection protection, and hallucination management

Course content

5 sections12 lectures1h 21m total length
  • Introduction to Azure OpenAI Essentials4:44

Requirements

  • An active Microsoft Azure account
  • No prior experience with Azure OpenAI Service is required

Description

Take your Azure AI skills to the next level with Azure OpenAI Service Essentials, a practical course focused on building real-world AI applications with Azure OpenAI Service.

Learn about the latest Azure OpenAI model families, including GPT-5, GPT-4.1, GPT-4o, o-series reasoning models, embedding models, and image generation models. Understand how to choose the right model based on capabilities, performance, cost, context windows, and business requirements.

Master essential prompt engineering techniques, including zero-shot, one-shot, and few-shot prompting, and learn how to generate structured outputs such as JSON, Markdown, tables, and lists.

Explore advanced features such as multi-turn conversations, conversation history, system instructions, image inputs, visual understanding, and OCR.

Put your knowledge into practice with a hands-on capstone project where you’ll build a conversational Python application, implement streaming responses, and handle common authentication, deployment, and rate-limit errors.

You’ll also learn important Responsible AI practices, including content filtering, prompt injection, hallucinations, safe AI practices, and AI usage monitoring.

Whether you're a developer, Python programmer, Azure professional, AI enthusiast, or learner building on your Azure AI knowledge, this course provides practical skills to help you confidently work with Azure OpenAI Service and generative AI applications.

By the end of the course, you’ll have hands-on experience with Azure OpenAI and a practical foundation for progressing toward Azure AI Agent Service and more advanced AI solutions.

Who this course is for:

  • Beginners and developers who want to learn Azure OpenAI Service
  • Learners who have completed an Azure AI Foundry basics course and want to take the next step