• DevOpsCertification, India
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The AIOPS CERTIFIED PROFESSIONAL Certified AiOps Engineer – Professional exam is intended for individuals who in the modern process of development, digital services often contain hundreds of millions of lines of code and billions of dependencies and with multicloud, open source environments, tangled web of interconnected cloud platforms, microservices, containers, serverless architecture, and orchestration platforms makes it more complicated to manage effectively in real time when it takes just a small issue in a single line of code to trigger a storm of alerts.


Recommended Knowledge and Experience

This certification Learning Path is the modern business landscape has transformed entirely with the likes of emerging technologies such as artificial intelligence, machine learning and automation. Such technologies have also transfigured modern application architectures as well as IT operations. Integrating AI into IT operations enables IT teams to perform more complex tasks and automate problem resolution in complex IT environments. This integration of AI into IT operations has led to the emergence of the term, AIOps that leverages big data, analytics and machine learning capabilities to simplify IT ops management.

Intended Audience

This learning path is the same AI concept can enhance businesses IT operations immensely. AIOps is going to be a next generation of software intelligence where we can leverage the power of "artificial intelligence (AI)". This concpet is introduced by analyst firm Gartner in the year 2017. The term AIOps is a amalgamation of artificial intelligence and IT operations. It refers to directly and indirectly automate and enhance IT operations - utilizing data analytics, machine learning (ML) other advanced analytics technologies.

Learning Objectives

The aim of the certification is to validate your knowledge across a number of different key areas, which have been defined by AiOps as being able to:

Abilities Validated by the Certification

  1. AIOps Course Introduction
  2. Data collection and Normalization
  3. Detection
  4. Casual analyis
  5. Prediction and Trend Identification
  6. Intelligent Remediation and Automation
  7. Breaking through the noise: Managing Alerts
  8. The future of AIOps and Data Analytics
  9. AIOps Platform 1 - Splunk
  10. AIOps Platform 2 - Moogsoft

Prepare for Your Exam

There is no better preparation than hands-on experience. There are many relevant AiOps Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam.

Practices

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