AIOps Foundation

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Open Enrollment Schedule
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2 Days

Available On-Site

Available Virtually

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Customizable

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.

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. The 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 valuable and successful integration of artificial intelligence in the day to day operations of information technology solutions.

Who Should Attend

IT Operations Staff, AIOps Architects and Engineers, Site reliability engineers (SRE), Information Technology (IT) and Operations Staff, DevOps personnel

What Attendees Will Learn

At the end of the course, the following learning objectives are expected to be achieved:

  • 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
  • Understand the changes in mindset, collaboration and skills for AIOps to be applied in an organization
  • Quantify outcomes of an AIOps implementation leveraging industry standard metrics
  • Understand 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

Prerequisites

Familiarity with IT terminology and IT related work experience are recommended.

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery.

Each attendee will require the ability to ssh into a cloud hosted virtual machine (provided with the course). In environments where SSH is not possible, local lab VMs or browser accessible lab systems can be provided. For web-based delivery, participants require an Internet-connected computer capable of teleconferencing.

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