Free
Course

Generative AI with Azure OpenAI

Explore Azure OpenAI service. Learn about models, practical uses, text answering, pricing, limitations, and future prospects of Azure OpenAI.

  • Skill level

    Beginner
  • Time to complete

    Approx. 1 hour
  • Certificate of completion

    Yes
  • Prerequisites

    None

About this course

Artificial intelligence (AI) is being harnessed everywhere today for a myriad of different practical applications. Microsoft Azure's OpenAI service is a key component in the development of AI apps in Azure and has gained significant attention for its ability to create intelligent solutions. In this course, you'll learn about Azure OpenAI service, including models, practical uses, and AI content generation principles with OpenAI. Then, you'll explore integration with Azure OpenAI, text and question answering, OpenAI vs. other generative AI services, and OpenAI pricing. Finally, you'll dig into limitations of OpenAI and what the future holds for Azure OpenAI.

Learning objectives

  • Discover the key concepts covered in this course
  • Outline what azure openai service is and how it works
  • Identify the types of models that are available on azure openai service

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.

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The Relationship Between the Cloud & AI Explained

Cory Stieg
May 1, 2024

As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.  

Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.  

If you’re looking for a way to get started with cloud technology, we recently launched a collection of free cloud courses. These courses provide you with foundational knowledge in core cloud providers including Microsoft Azure, Amazon Web Services, Google Cloud, and CompTIA Cloud Essentials+. With these cloud courses, you have the option to dive in and explore for free before committing to a cloud certification program. They’re also an excellent way to complement the in-demand AI and coding skills that you’re already learning. 

Ahead, we’ll break down the relationship between cloud computing and AI with insight from Michael Shannon, a Senior Analyst in Tech and Dev at Skillsoft, who developed the curriculum for many of our cloud courses.  

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  • Portfolio projects

    Create professional projects you can share with recruiters to showcase your skills and experience.
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    Evaluate how well you meet the requirements for any job description based on your skills and experience.
  • Certificate of completion

    Earn a document you can share with your network to prove that you’ve completed this course.