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Most trusted JOB oriented professional program
DevOps Certified Professional (DCP)

Take your first step into the world of DevOps with this course, which will help you to learn about the methodologies and tools used to develop, deploy, and operate high-quality software.

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DevOps to DevSecOps – Learn the evolution
DevSecOps Certified Professional (DSOCP)

Learn to automate security into a fast-paced DevOps environment using various open-source tools and scripts.

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Get certified in the new tech skill to rule the industry
Site Reliability Engineering (SRE) Certified Professional

A method of measuring and achieving reliability through engineering and operations work – developed by Google to manage services.

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Master the art of DevOps
Master in DevOps Engineering (MDE)

Get enrolled for the most advanced and only course in the WORLD which can make you an expert and proficient Architect in DevOps, DevSecOps and Site Reliability Engineering (SRE) principles together.

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Gain expertise and certified yourself
Azure DevOps Solutions Expert

Learn about the DevOps services available on Azure and how you can use them to make your workflow more efficient.

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Learn and get certified
AWS Certified DevOps Professional

Learn about the DevOps services offered by AWS and how you can use them to make your workflow more efficient.

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Complete AIOps Certification Guide & tutorials

Spread the Knowledge

What is AIOps?

What Is AIOps? A Beginner's Guide – BMC Software | Blogs
AIOps

The term AIOps was initially authored by Gartner in 2017. Traditional IT management techniques were were seen as unfit to adapt to advanced business change. artner anticipated that there would be massive changes in ITOps methods and a rebuilding of how we deal our IT ecosystems. After that AIOps came in existence.

Artificial Intelligence for IT Operations (AIOps) is the application of AI, and related technologies like, machine learning and natural language processing (NLP) to conventional ITOps exercises and undertakings.

AIOps consolidates big data and machine learning to automate IT operations processes, incorporating occasion correlation, anomaly recognition and causality assurance.

Components of AIOps

  • Mass and diverse IT data
  • Aggregated big data platform
  • Machine learning
  • Observe
  • Engage
  • Act

Why AIOPs is important

AIOps offers so many benefits to busines, some of them are –

  • Enhance collaboration
  • Increased ROI
  • Successful digital transformation

What is the use of AIOps?

What Is AIOps? Definition, Top Use Cases & Future | eWeek
Use cases of AIOps
  • Predictive alerting – According to a report, organizations get over 1 million incident alerts in a day. AIOps gathers these alerts, examine them to track relationships between the data, and gathers them into a smaller number of notifications, guranteeing only issues with high business value are alerted.

AIOps also utilize AI to alert experts of subject incidents for a quick resolution.

  • Root cause examine – Despite of just solving it at first, it is significant to figure out what is the prime cause of an issue initially.

The complexity in modern systems makes it difficult and time-consuming to examine large volumes of data and alerts to figure out the root cause of irregularities.

As well as recognizing irregularities, AIOps has the ability to gather and correlate events then use machine learning inference models in isolating related events to detect the root cause of issues.

This top to bottom determination of the essential cause of issues helps IT teams answer and resolve issues rapidly and effectively.

  • Automated incident management – By utilizing machine learning algorithms, enterprises not only set automatic alerts for events but also trigger automatic system reactions to remediate the issues. By automating and resolving events in real-time, enterprises can deliver a smooth user experience.
  • Predictive outages – Predictive AIOps enables operations teams to see slow-forming inconsistencies before they become blackouts(outages) and fix the issue before users are affected.

Put simply, predictive AIOps make it conceivable to stop blackouts before they start.

  • Service desk ticketing – AIOps automates several functions, comprising ticket and log updates, audits, password resets, change risk analysis, etc. Utilizing chatbots boosts self-service and enables users to solve daily issues on their own.

Compare AIOps Vs MlOps certification

MLOpsAIOps
Standardizes ML system development processAutomates IT operations and systems
Enlarges efficiency and productivity of the teamAutomates root cause examines and resolution
simplify coordination between different teamsProcess and manage a huge amount of data effectively and efficiently
It is a important part of deploying AI and Data Science at scale and in a repeatable mannerIt leverages revolutionary AI technologies to break IT challenges
– Multi-source data consumption
– Source Code Control
– Deployment and Test Services-Tracking ML model using metadata
– Automate ML experiments
– Mitigate risks and bias in model validation
– Application Monitoring-Automating manual or repetitive processes
– Anomaly identification
– Predictive maintenance
– Incident management

List of AIOps Certification

  • AIOps Certified Professional (AIOCP)

AIOps Certification Path

There is no official certification for AIOps but still you can get AIOps Certified Professional (AIOCP) and have required knowledge and skillsets to stand out of others from DevOpsSchool.

AIOps Certification Cost

  • Rs 69,999/-

Best salary for AIOps Certified Professional

  • The average salary of AIOps professional is 21 Lakh.

Best AIOps Certification Tutorials

https://www.aternity.com/wp-content/uploads/2020/01/What-is-AIOps-WP-Final.pdf

https://tekwurx.com/wp-content/uploads/2019/05/Gartner-Market-Guide-for-AIOps-Platforms-Nov-18.pdf

Best AIOps Certification Video Tutorials

Best AIOps certification Ebooks

https://info.moogsoft.com/ebook-observability-aiops-for-dummies.htmldevasted

Rajesh Kumar
Latest posts by Rajesh Kumar (see all)
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