- Course
- AI
AIOps: Introduction to AIOps
Deploying and tracking AI applications through the development process and into production can be a daunting process. This course will teach you how to apply existing “Ops” ideas to AIOps.
What you'll learn
Producing AI applications requires software development, dependency management, and model tracking. With underlying foundation models in a rapid update cycle, this leads to a host of challenges for AI practitioners. In this course, AIOps: Introduction to AIOps, you’ll learn how existing practices can be applied to the AI application lifecycle. First, you’ll explore the evolution from classic DevOps to AIOps and LLMOps. Next, you’ll set up an AIOps pipeline. Finally, you’ll learn best practices for managing LLM models in production. When you’re finished with this course, you’ll have the skills and knowledge of AIOps needed to simplify the AI application lifecycle
Table of contents
About the author
David loves learning!! Indeed, his hobby is reading technical documentation. He also loves helping others learn!! Dave comes to Pluralsight with a wealth of knowledge in computer science, big data, generative AI, math, statistics, video production, and, if anyone is interested, he also can help people know how to farm pigs. He will learn about anything that interests him and will teach whoever will listen. He makes his home in the desert of southwest Utah because he doesn't like snow. He also likes Vegas, which is only 1.5 hours away, so that helps, too.