AI-050: Develop Generative AI Solutions with Azure OpenAI Service
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Course
AI-050: Develop Generative AI Solutions with Azure OpenAI Service
Build skills in Azure OpenAI Service and enhance your understanding of Azure OpenAI's language, code, image capabilities, responsible AI practices, and much more.
Online Live Classes
Mentored
Intermediate
This course is part of a program:
It is not possible to enroll for individual courses on this program. If you wish to take this course, please enroll for the full program.
AI-050: Develop Generative AI Solutions with Azure OpenAI Service is an intermediate-level course. It is designed for software developers and data scientists who need to use large language models for generative AI. However, anyone seeking to understand how the Azure OpenAI Service can be used to implement generative AI solutions will benefit from taking this course. To get the most out of your learning experience, you should be familiar with Azure and the Azure Portal, and you should also have programming experience in C# or Python.
In this Microsoft generative AI course, you'll build your understanding of Azure OpenAI's language, code, and image capabilities, responsible AI practices, and limited access policies. Through Azure OpenAI Studio console and REST API, you'll learn to deploy and test a base model, generating prompt completions and managing parameters. You'll also learn to integrate Azure OpenAI into applications, optimize model performance using prompt engineering, and enhance model responses by fine-tuning prompts with clear instructions, output composition requests, and contextual content.
Once you have completed this AI-050: Develop Generative AI Solutions with Azure OpenAI Service course, you will have earned your SkillUp Online Certificate of Completion. This certificate can be added to your resume and LinkedIn profile to confirm the skills you have gained and catch the eye of future employers.
This course comprises six purposely designed modules that take you on a carefully defined learning journey.
It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
You'll be able to:
- Describe Azure OpenAI workloads and access the Azure OpenAI Service
- Understand generative AI models
- Understand Azure OpenAI's language, code, and image capabilities
- Create an Azure OpenAI Service resource and understand the types of Azure OpenAI base models
- Use the Azure OpenAI Studio, console, or REST API to deploy and test a base model in the Studio's playgrounds
- Integrate Azure OpenAI into your application
- Differentiate between different endpoints available to your application
- Generate completions to prompts using the REST API and language-specific SDKs
- Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance
- Know how to design and optimize prompts to utilize AI models better
- Software developers and data scientists who need to use large language models for generative AI.
- Technical professionals seeking to understand how the Azure OpenAI Service can be used to implement generative AI solutions.
- Familiarity with Azure and the Azure portal.
- Experience of programming with C# or Python.