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!

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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Intermediate
  • Style

    Self paced
  • Target Audience

    Technical Project Ready with Labs
  • Certification Course

    No
  • Hands on Labs

    Yes
Solution Areas

Azure Data & AI, Build and Modernize AI Apps

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