AIOps Foundation

Overview Learning objectives What you'll learn Key facts FAQs What our customers say Get in touch

Course overview

AIOps Foundation introduces the principles and technologies behind Artificial Intelligence for IT Operations and how they apply within modern operational environments. Through this accredited course, you’ll build the foundation-level knowledge needed to understand AIOps in context and prepare for the AIOps Foundation certification exam.

Develop your technical understanding of AIOps

Over two days, you’ll build foundation-level knowledge of the concepts and terminology used in AIOps and learn how they apply within IT operations. The course is relevant to technical professionals who need to understand the principles behind AIOps, assess its role in an operational environment and contribute more confidently to discussions around its use and implementation.

Learning objectives

Explain the foundations and purpose of AIOps
Examine Big Data characteristics and data sources
Understand machine learning and generative AI
Analyse AIOps operational metrics
Distinguish reactive and proactive approaches
Examine AIOps use cases
Evaluate AIOps impact and system visibility
Relate AIOps to DevOps and SRE
Identify implementation challenges and ethical considerations

What you'll learn

Explore the technical and operational concepts that underpin AIOps, from the data and technologies it uses to the metrics, working practices and organisational considerations involved in its application.

Foundations and organisational context

Examine the origins and meaning of AIOps, how it differs from IT Operations Analytics and the stages of the AIOps capability chain. You’ll also consider the drivers and influences behind AIOps and how these affect its role within an organisation.

Data, machine learning and GenAI

Examine the technologies that support AIOps, including Big Data characteristics, the Five Vs, data sources and diverse data types. You’ll cover Artificial Intelligence, Machine Learning and Generative AI, including supervised and unsupervised learning and the relationship between Machine Learning and analytics.

Metrics and operational approaches

Examine the measures and operational concepts used alongside AIOps, including key metrics, incidents, agreements and objectives. You’ll compare reactive and proactive approaches and deterministic and probabilistic systems, alongside concepts including observability, reliability, remediation and alert noise reduction.

Impact and implementation

Assess AIOps using operational metrics, AI accuracy and system visibility, and examine its relationship with DevOps and Site Reliability Engineering. You’ll also consider common implementation challenges, ethics and Machine Learning, and the different paths organisations can take when introducing AIOps.

What’s included?

Accredited AIOps Foundation training
AIOps Foundation exam
AIOps delegate materials*
Optional extra: Take² exam insurance

*Digital version included with all study options, hardcopy included with classroom

Key facts

Certification

AIOps Foundation

Who it’s for

Relevant to IT operations, DevOps, SRE, cloud, data and software professionals, alongside managers and stakeholders involved in AIOps initiatives.

Prerequisites

There are no formal prerequisites. Familiarity with IT terminology and previous IT-related work experience are recommended.

Exam information

60-minute, open-book exam with 40 multiple-choice questions and a 65% pass mark.

Optional extras

Take² exam insurance.

Pre-course

No pre-course work is required.

FAQs

Find answers to technical and practical questions about the AIOps Foundation course, including the concepts covered, operational metrics, implementation topics and certification exam.

What level of AIOps knowledge will I develop?

You’ll develop foundation-level knowledge of AIOps concepts and terminology, together with an understanding of how those concepts apply in context.

How does the course cover data in AIOps?

You’ll examine Big Data characteristics, the Five Vs, data sources and different forms of operational data. This includes structured, semi-structured and unstructured data, as well as batch and streaming data.

Which AI and machine learning topics are covered?

You’ll cover Artificial Intelligence, Machine Learning and Generative AI, including supervised and unsupervised learning and the relationship between Machine Learning and analytics. Related concepts include Machine Learning models, inference, clustering and dimensionality reduction.

Which operational metrics and measures will I examine?

You’ll examine operational metrics including Mean-Time Between Failures, Mean-Time to Acknowledge, Mean-Time to Detect and Mean-Time to Resolve, alongside availability, maintainability, reliability, incidents, agreements and objectives.

How does the course address AIOps implementation?

You’ll examine common implementation challenges, ethical considerations and paths to implementation, alongside AI accuracy and system visibility when evaluating AIOps.

Can I use training materials during the exam?

Yes. The AIOps Foundation examination is open book, and Official Training Materials can be used while taking the exam.

What our customers say

“Excellent, intensive, great scope and lots of information covered. The trainer was brilliant, receptive, engaging, and encouraging to ensure we understood the content. Revision sessions were helpful each day as well, and the trainer made time to explain things to make sure our knowledge was up to speed.”

Suzanne Magee, TSG learner

“It was good, rich training material, experienced and knowledgeable trainer.”

Tam Nguyen, TSG learner

Why study with TSG?

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Trusted by individuals, businesses and public sector organisations for over 25 years.

20,000+ learners trained

Join a network of learners focused on developing their software testing skills

98% customer satisfaction

TSG trainers are frequently rated as ‘good’ or ‘excellent’ by our learners

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If you’re unsure which course aligns with your technical requirements or career direction, we’ll help you assess your options and choose with confidence.

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