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Udemy - AIOps Mastery: Reducing Log Costs and Optimizing Operations

Udemy - AIOps Mastery: Reducing Log Costs and Optimizing Operations

Language: English (US)

Master AIOps with GenAI: Optimize system logs, reduce costs, and enhance IT operations through AI-driven insights.

https://www.udemy.com/course/aiops-mastery-reducing-log-costs-and-optimizing-operations/


Here’s a compelling course description that highlights each section’s value and engages potential students:


Unlock the power of AIOps with this comprehensive course on AI-driven log optimization and cost reduction! This course is designed to take you step-by-step through the core concepts of AIOps, infrastructure setup, and practical deployments with GenAI and large language models (LLMs) to automate, monitor, and optimize system logs. Perfect for IT professionals, DevOps engineers, and anyone eager to leverage AI in operations, this course will transform your approach to managing IT costs and efficiency.


What You’ll Learn:


Start with a solid foundation, exploring the fundamentals of AIOps and the infrastructure needed to support advanced AI analysis. Gain hands-on experience with Rancher and Kubernetes deployments, configuring Longhorn for persistent storage and DNS settings, before diving into ElasticSearch and Kibana setups to enable robust log monitoring and visualization.


Learn to deploy GenAI models such as Ollama and Llama3, empowering you to test and utilize these powerful tools in real-time analysis. By the end of the course, you’ll implement a full AIOps application, configuring automated alerts with Kibana Watcher and integrating alert tracking on Discord for continuous oversight.


Whether you’re an experienced DevOps engineer or exploring AIOps for the first time, this course offers the insights, tools, and practical skills to revolutionize your operations, reduce log costs, and stay ahead in the world of IT innovation. Join now to start mastering AIOps with GenAI!

Udemy - AIOps Mastery: Reducing Log Costs and Optimizing Operations

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