Azure OpenAI Workshop

Last Updated Sep 2025

Course Overview

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. In this course you will learn to use these models including GPT -3, GPT -4 which performs a variety of natural language tasks, Codex, which translates natural language to code, and Embeddings, which is an information dense representation of the semantic meaning of a piece of text. Start building with simple API calls and get started with it in a matter of minutes!

Duration - 12 Hours

Level - Intermediate

Style - Self paced

Course Type - Project Ready with Labs

Certification - No

Hands on Labs - Yes

Solution Areas - Azure - Cloud & AI Platform, Innovate with Azure AI Apps and Agents

ESI Course Code - DW-200

Course Modules

Introduction to Azure AI Services, Azure AI Studio and Azure OpenAI Service models

In this module, you will learn about Introduction to Azure AI services and LLMs​, Azure OpenAI Service​, Introduction to Responsible AI​, Components and key concepts of Azure OpenAI​, Models and Capabilities​, Azure AI Studio​, managing models​, Provisioned throughput units (PTU)​, Using function calling with Azure OpenAI Service (Preview)​, Azure OpenAI Assistants API (Preview)​, Availability and pricing​.

Prompt engineering, Embeddings and RAG​

In this module, you will learn about Introduction to prompt engineering​, Prompt engineering techniques​, Understanding embeddings in Azure OpenAI Service​, Plugins, ​ Azure AI Search​, Full text search, ​Vector search, Semantic ranking​, Retrieval augmented generation – RAG, Semantic Kernel​.

Azure OpenAI on your data ​

Customize a model with fine-tuning, Using Azure OpenAI with large datasets​, Using your data - text​, Using your data - image(preview)​, Prompt flow and LLMOps​.

Monitoring usage and implementing Responsible AI​

Introduction to Abuse monitoring, Content filtering, Content Filtering in Azure AI Studio​ Data, privacy, and security for Azure OpenAI Service​, Configuring Azure OpenAI Service with Managed Identities and Azure Cognitive Services virtual networks​, Manage quota​, Azure OpenAI Service encryption of data at rest​, Monitoring Azure OpenAI Service​, Planning to manage costs for Azure OpenAI Service​, Responsible AI principles and practices for Azure OpenAI​.

Post-training Skills Assessment

Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.

Course Completion Survey

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