- Course
Using Generative AI to Analyze and Optimize Cloud Spend
No one wants to pay for infrastructure they don't use and finding inefficiencies can be a time consuming process. This course will teach you how to use Generative AI tools to analyze and optimize your cloud spend and minimize time spent on this task.
Beginner
- Course
Using Generative AI to Analyze and Optimize Cloud Spend
No one wants to pay for infrastructure they don't use and finding inefficiencies can be a time consuming process. This course will teach you how to use Generative AI tools to analyze and optimize your cloud spend and minimize time spent on this task.
Beginner
Get started today
Access this course and other top-rated tech content with one of our business plans.
Try this course for free
Access this course and other top-rated tech content with one of our individual plans.
This course is included in the libraries shown below:
- AI
- Cloud
What you'll learn
Inefficiencies in cloud spend can result in paying for services and infrastructure you don’t need. The promise of the cloud is to be more efficient with deployed infrastructure.
In this course, Using Generative AI to Analyze and Optimize Cloud Spend, you’ll learn to analyze your cloud spending and implement cost optimization while saving your time and gaining new insights by using Generative AI. First, you’ll explore how to analyze cloud spending patterns using AI. Next, you’ll discover some AI tools that assist in cost analysis. Finally, you’ll learn how to implement cost optimization strategies based on AI insights.
When you’re finished with this course, you’ll have the skills and knowledge to analyze and optimize cloud spend using Generative AI. This will allow you to discover and mitigate cost inefficiencies in cloud services using the least amount of your time.
Using Generative AI to Analyze and Optimize Cloud Spend
Beginner
Table of contents
Matt Stenzel is a Data and AI Cloud Solution Architect at Microsoft. He has 15+ years of experience in the data and analytics industry working in various roles including a software developer, data engineer, DW developer, DBA and integration architect. He has spent the last 8 years working at Microsoft helping companies across the US successfully implement Azure solutions that provide business value.
