AIOps Foundation study guide

AIOps Foundation · Work through your exam, one topic at a time.

The AIOps Foundation℠ certification, offered by DevOps Institute (now part of the PeopleCert Group), is an entry-level credential aimed at anyone who wants to understand how artificial intelligence and big data analytics are reshaping IT operations. The exam covers the origins of AIOps, including the history behind the term and the patterns that preceded it, and explains how digital transformation and the evolution of machine learning made AIOps an indispensable tool in modern IT operations. It also addresses core technologies such as big data and machine learning, the basic concepts of artificial intelligence, the different types of machine learning models that can be implemented, and the relationship between AIOps and MLOps, DevOps, and Site Reliability. Candidates also learn about the benefits of implementing AIOps in an organization, common challenges, and key steps for successful integration. The AIOps Foundation study guide has 4 sections and about 1,718 words.

Origins and history of AIOps

This domain tests whether you can trace how IT operations analytics evolved into AIOps, who named it, and why the shift happened. Expect questions on definitions, chronology, and the forces that made manual correlation untenable.

427 words, about 2 min 02

Big data and machine learning core technologies

This domain tests the technical stack beneath AIOps: what data operations produce, how it is stored and processed, which ML techniques are applied to which problems, and how models are evaluated. AIOps ingests metrics (time-stamped numbers), logs (unstructured or semi-structured text), traces (request paths across services), and events (deployments, config changes, tickets).

425 words, about 2 min 03

AIOps relationship to MLOps, DevOps, and Site Reliability

This domain tests whether you can place AIOps among adjacent disciplines without collapsing them into synonyms. Questions often ask who owns a practice, which feedback loop is described, or how AIOps supports SLOs.

433 words, about 2 min 04

Implementing AIOps: benefits, challenges, and ethics

This domain tests practical judgment: what AIOps realistically delivers, where programs fail, and how to govern automated decisions responsibly. Expect scenario questions on sequencing, data readiness, and human oversight.

433 words, about 2 min