Microsoft AI-050T00 - Develop Generative AI Solutions with Azure OpenAI Service
Length 1 day
Version A
Course overview
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Why study this course
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.
Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing.
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What you’ll learn
After completing this course, students will be able to:
Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
Generate completions to prompts and begin to manage model parameters.
Understand the concept of prompt engineering and its role in optimising Azure OpenAI models' performance.
Know how to design and optimise prompts to better utilise AI models.
Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses.
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Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Who is the course for?
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.
We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us on 1800 U LEARN (1800 853 276)
Course subjects
Fundamentals of Azure OpenAI Service
Get started with Azure OpenAI Service
Build natural language solutions with Azure OpenAI Service
Apply prompt engineering with Azure OpenAI Service
Prerequisites
Before attending this course, students should have:
Familiarity with Azure and the Azure portal. If you are new to Azure and cloud computing, consider taking our AZ-900: Azure Fundamentals course.
Experience programming with Python. If you have no previous programming experience, we recommend you complete our Introduction to Programming with Python course.
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Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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