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!


Module 1 - Introduction to Azure OpenAI​ Service​

In this Module you will learn about Azure OpenAI Services and how it acts as a responsible AI with its components and key concepts.

Module 2 - Using Azure OpenAI service models​ and key concepts​

In this Module you will learn about using Azure OpenAI Services and the method to find the rignt model from the list of legacy models such as ChatGPT,DALL-E, embedding models and finally the AOAI text and code models.

Module 3 - Understanding Prompt Engineering, content filtering and Embeddings​​

In this Module you will learn about promtengineering, content filtering and embeddings in Azure OpenAI service and understand the process of generating embediing with Azure OpenAI.

Module 4 - Work with text and code completion​​

In this Module you will learn about working with text and code completeion using Codex by customizing the model by preparing dataset.

Module 5 - Security, high availability, monitoring and responsible AI​​

In this Module you will learn about configuring Azure OpenAI service with managed identities and Azure cognitive services with networks along with large datasets and learn to plan the cost of such service.

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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