The AIOps Certified Professional certification is tailored for IT and operations professionals seeking to master the integration of artificial intelligence into IT operations. This certification covers the use of AI and machine learning to automate and enhance IT processes, enabling faster issue detection, predictive maintenance, and optimized performance. Participants learn to implement AIOps tools and techniques that monitor, analyze, and act on large volumes of data generated by IT infrastructure and applications.
The AIOps Certified Professional certification is a specialized program equipping IT and operations professionals with the skills to leverage artificial intelligence in IT operations to streamline and optimize complex IT environments. The certification covers essential AIOps principles, focusing on using AI and machine learning to automate monitoring, detect anomalies, and predict issues before they impact the system. Designed for IT managers, operations engineers, DevOps practitioners, and data scientists, the program provides hands-on training in AIOps tools for handling large-scale data analysis, enhancing observability, and reducing manual intervention.
This program is designed for IT managers, operations engineers, DevOps practitioners, SREs, and data scientists who want to enhance their skills in AI-driven IT operations. It also benefits cloud engineers, platform engineers, and incident response leads who manage high-demand applications and seek to reduce alert noise, accelerate incident resolution, and drive efficiency through intelligent automation. Anyone aiming to advance in roles such as AIOps Engineer, IT Operations Manager, or Observability Engineer will find this certification invaluable.
In the AIOps Certified Professional course, participants will work on 3 real-time scenario-based projects covering alert noise reduction, predictive anomaly detection, and automated incident remediation. Projects are designed to simulate production AIOps environments and give hands-on experience from data pipeline setup to ML model deployment and monitoring.
As part of this program, you will receive a complete interview preparation kit — crafted from 200+ years of combined industry experience and insights from nearly 10,000 DevOpsSupport learners worldwide. The kit covers AIOps-specific interview scenarios, tool configuration questions, and behavioral interviews for IT operations roles.
This certification validates expertise in applying AI and machine learning to automate and optimize IT operations, improving system reliability and reducing manual intervention.
It's ideal for IT managers, operations engineers, DevOps practitioners, SREs, and data scientists who want to enhance their skills in AI-driven IT operations and automation.
You'll learn to implement AIOps practices such as anomaly detection, predictive analytics, root cause analysis, and automated remediation within IT environments.
Basic knowledge of IT operations and data analysis is recommended. Familiarity with monitoring tools and scripting helps but is not required.
The course covers Splunk, Elastic Stack, IBM Watson AIOps, Dynatrace, Moogsoft, BigPanda, PagerDuty, and various machine learning libraries.
The exam includes practical tasks assessing your ability to apply AIOps concepts, implement automation, and perform data-driven analysis in simulated IT environments.
The certification is valid for 3 years, after which recertification is required to stay updated with new AIOps practices and technologies.
The training includes instructor-led sessions, hands-on labs, real-world projects, case studies, and mock exams to fully prepare for the certification.
Yes, retake options are available, often at a reduced cost or included with the initial registration.
Ready to Enroll?
Contact UsOur team is ready to help you choose the right path.