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AIOps Foundations: Automating IT Operations using AI

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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.


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

  • 02 - 1. AI for Network and Infrastructure Management
  • 01 - Forecast network usage with Cisco SD-WAN Analytics
  • 02 - Demo of bandwidth forecasting using Cisco SD-WAN Analytics
  • 03 - AI automated baselining and network anomaly detection
  • 04 - Demonstration of using HPE Aruba Networking Centrals AI Insights
  • 05 - Predictive scaling for optimizing cloud computing resources
  • 06 - Demonstration of predictive scaling in AWS EC2

  • 03 - 2. AI for Incident and Service Management
  • 01 - Automated incident triage, grouping and predictive analytics
  • 02 - Demonstration of automated incident prediction in ServiceNow
  • 03 - Root cause analysis and resolution recommendations using ML
  • 04 - Demonstration of ServiceNows automated root cause analysis
  • 05 - Process automation for faster issue resolutions
  • 06 - Demonstration of ServiceNow and PagerDuty process automation

  • 04 - 3. Automated Security Management Using AI
  • 01 - Sensitive data monitoring and user access management
  • 02 - Demonstration of Rubrik data security for monitoring
  • 03 - Automated security monitoring and incident response
  • 04 - Investigate and remediate threats using Rubriks Ruby AI

  • 05 - 4. Strategic Implementation of AIOps Solutions
  • 01 - How to develop an AIOps implementation strategy
  • 02 - Things to consider while implementing AIOps solutions
  • 03 - Benefits and risks of AIOps implementation

  • 06 - Conclusion
  • 01 - Implement AIOps in your unique IT environment
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