Microsoft Azure Course

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Overview

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

Audience Profile

The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

Job role: AI Engineer, Data Scientist

Prerequisites

Before starting this learning path, you should already have:

Familiarity with Azure and the Azure portal.
Experience programming with C# or Python.

Outline

Introduction to Azure OpenAI Service

Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Introduction
What is generative AI
Describe Azure OpenAI
How to use Azure OpenAI
Understand OpenAI's natural language capabilities
Understand OpenAI code generation capabilities
Understand OpenAI's image generation capabilities
Describe Azure OpenAI's access and responsible AI policies
Knowledge check
Summary

Get started with Azure OpenAI Service

This module provides engineers with the skills to begin building an Azure OpenAI Service solution

Introduction
Access Azure OpenAI Service
Use Azure OpenAI Studio
Explore types of generative AI models
Deploy generative AI models
Use prompts to get completions from models
Test models in Azure OpenAI Studio's playgrounds
Exercise - Get started with Azure OpenAI Service
Knowledge check
Summary

Build natural language solutions with Azure OpenAI Service

This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.

Introduction
Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK
Exercise - Integrate Azure OpenAI into your app
Knowledge check
Summary

Apply prompt engineering with Azure OpenAI Service

Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.

Introduction
Understand prompt engineering
Write more effective prompts
Provide context to improve accuracy
Exercise - Utilize prompt engineering in your application
Knowledge check
Summary

Talk to an expert

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well as public sector institutions such as the Department of Defence and the Department of Health.

Develop Generative AI Solutions with Azure OpenAI Service – Applied Skills Workshop