In this course, you will explore how Generative AI is revolutionizing cloud management by automating workflows, optimizing resource allocation, and enhancing overall efficiency. Whether you’re a Cloud Solutions Architect, DevOps Professional, or AI Enthusiast, this course will provide hands-on experience with Azure OpenAI, Microsoft Copilot, and other Azure services to streamline operations and reduce costs. Through real-world case studies, practical exercises, and expert insights, you’ll gain the skills needed to design, deploy, and manage AI-driven cloud solutions effectively.
GenAI for Azure: AI-Powered Cloud Optimization Strategies
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GenAI for Azure: AI-Powered Cloud Optimization Strategies
Instructors: Starweaver Instructor Team
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Articulate the core concepts of GenAI and how they integrate with Azure cloud services.
Implement GenAI models with Azure OpenAI for cloud optimization.
Implement GenAI-powered strategies for monitoring, scaling, and cost management.
Utilize Azure OpenAI within workflows and apply optimizations.
Details to know
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Recently updated!
March 2025
Assessments
1 assignment
Taught in English
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There is 1 module in this course
In this course, you’ll explore the principles, strategies, and real-world applications of Generative AI in cloud management. Through hands-on experience with tools like Azure OpenAI, Microsoft Copilot, and other Azure services, you’ll learn to automate workflows, optimize resource allocation, and streamline operations. You’ll also evaluate cost-reduction opportunities and ethical considerations, ensuring secure and efficient AI integration in cloud environments.
What's included
13 videos7 readings1 assignment1 peer review
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