AIOps Foundation℠


AIOps Foundation℠

This AIOps Foundation course aims to cover the origins of AIOps, including the history behind the term, patterns that preceded it, and the technology context in which it has evolved. Learners will gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.  

This course introduces key principles and foundational concepts along with the core technologies of AIOps: big data and machine learning. The course will provide students with an understanding of how and why digital transformation, together with the evolution of machine learning, have brought about the rise of AIOps as an indispensable tool in today’s IT Operational landscape. 

What You'll Learn

Core technologies of machine learning and big data will be discussed, as well as the basic concepts of artificial intelligence, different types of machine learning models that can be implemented, and the relationship between AIOps and MLOps, DevOps, and Site Reliability. 

 This foundation course will also provide the student with a solid understanding of the benefits of implementing AIOps in the organization, including common challenges and key steps in ensuring the valuable and successful integration of artificial intelligence in the day-to-day operations of information technology solutions. 

Benefits for Organizations

  • Understand the changes in mindset, collaboration, and skills for AIOps to be applied in the organization 
  • Quantify outcomes of an AIOps implementation leveraging industry-standard metrics 
  • Understand the usual challenges and opportunities of applying AIOps in the organization 
  • Visualize the challenges, trends, and ethical considerations organizations might face while deploying an AIOps initiative 

Benefits for Individuals

  • A clear understanding of the history, origins, and current developments of AIOps 
  • Define and comprehend basic concepts and key principles within AIOps 
  • Understand general concepts of big data and artificial intelligence and how they relate to AIOps 
  • Recognize the relationship between AIOps and MLOps 
  • Understand the effectiveness of AIOps deployment and possible benefits 

 Certification Details

Earn a credential that can lead to jobs in high growth fields

Exam Questions: 40
Passing Score: 65%
Exam Format: Multiple Choice
Duration: 60 minutes
Delivery: Web-based
Languages: English
Open Book: Yes

Certification Validity: 3 Years

Learn more about our Continuing Education Program and recertification requirements to help you stay current with your skills and certifications.

Preparation: Instructor-Led Training, Online Learning, Self-Study

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