AIOps Foundations: Automating IT Operations using AI

Course details

Amid the ever-evolving IT landscape, organizations strive for operational efficiency and peak performance. However, managing intricate IT ecosystems can present challenges in maintaining uptime, resolving issues promptly, and optimizing processes. Enter AIOps, a game-changing solution poised to reshape IT management practices and set new benchmarks. In this course, management consultant Priya Mohan guides you through a comprehensive exploration of AIOps, covering topics such as data collection, anomaly detection, predictive maintenance, and strategic implementation. Dive into the transformative advantages of implementing AIOps, including substantial savings as you curb downtime, enhance resource allocation, empower your teams to shift from reactive firefighting to strategic planning, and enable accurate forecasting. By the end of the course, you will confidently deploy AI-powered solutions to optimize IT operations, reduce downtime, and enhance overall performance.

Concepts

0. Introduction

01 - Introduction to AIOps - What is AIOps
02 - Why AIOps matters - Transforming IT operations
03 - Overview of IT operations and key AI concepts

1. AI for Network and Infrastructure Management

04 - Forecast network usage with Cisco SD-WAN Analytics
05 - Demo of bandwidth forecasting using Cisco SD-WAN Analytics
06 - AI automated baselining and network anomaly detection
07 - Demonstration of using HPE Aruba Networking Central's AI Insights
08 - Predictive scaling for optimizing cloud computing resources
09 - Demonstration of predictive scaling in AWS EC2

2. AI for Incident and Service Management

10 - Automated incident triage, grouping and predictive analytics
11 - Demonstration of automated incident prediction in ServiceNow
12 - Root cause analysis and resolution recommendations using ML
13 - Demonstration of ServiceNow's automated root cause analysis
14 - Process automation for faster issue resolutions
15 - Demonstration of ServiceNow and PagerDuty process automation

3. Automated Security Management Using AI

16 - Sensitive data monitoring and user access management
17 - Demonstration of Rubrik data security for monitoring
18 - Automated security monitoring and incident response
19 - Investigate and remediate threats using Rubrik's Ruby AI

4. Strategic Implementation of AIOps Solutions

20 - How to develop an AIOps implementation strategy
21 - Things to consider while implementing AIOps solutions
22 - Benefits and risks of AIOps implementation

Conclusion

23 - Implement AIOps in your unique IT environment

AIOps Foundations: Automating IT Operations using AI

Authors

Priya Mohan