AIOps Foundation

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Course overview

This accredited AIOps Foundation course introduces the concepts, technologies and working practices behind Artificial Intelligence for IT Operations. You’ll study how Big Data, Machine Learning, Generative AI and automation contribute to AIOps, while examining operational measures, common use cases and the factors involved in adoption. The course also prepares you for the AIOps Foundation certification exam.

Build AIOps knowledge for modern IT operations

Designed for IT professionals, this two-day course builds the knowledge you need to discuss AIOps with greater technical context. You’ll examine its underlying technologies, relationship with DevOps and SRE, operational measures and deployment considerations. The knowledge you gain can support your contribution to AIOps initiatives and broaden your understanding of AI-led approaches within IT operations.

Learning objectives

Explain core AIOps concepts and principles
Explain Big Data’s role in AIOps
Understand machine learning and Generative AI
Relate AIOps to DevOps and SRE
Interpret key operational measures
Identify relevant AIOps applications
Evaluate AIOps performance
Identify deployment challenges and opportunities
Understand approaches to AIOps implementation

What you'll learn

You’ll examine AIOps from its underlying data and technologies through to its use in operational environments. Topics include changing approaches to IT operations, alert noise, observability, performance measurement and the organisational factors that influence implementation.

Move from reactive to proactive

Examine the change from reactive to proactive IT operations and the move from deterministic to probabilistic approaches. You’ll consider how these different ways of working relate to AIOps use cases and what they mean for teams managing operational events, patterns and changing conditions across IT environments.

Cut through alert noise

Learn how alert noise reduction, anomaly detection, observability and remediation feature within AIOps. You’ll consider how these concepts help teams distinguish useful operational signals from large volumes of system information, and how they relate to reliability, visibility and the management of incidents within IT environments.

Understand successful implementation

AIOps implementation involves technical and organisational considerations. You’ll examine common challenges that can arise during deployment, ethics and Machine Learning, and possible paths to implementation. This gives you a grounded view of the issues organisations need to consider when planning how AIOps could fit into their existing operations.

Evaluate AIOps with confidence

Examine how organisations evaluate AIOps through operational metrics, AI accuracy and system visibility. You’ll consider measures associated with incidents, reliability and service performance, alongside the relationship between AIOps, DevOps and Site Reliability Engineering. This gives you the context to understand how the impact of an AIOps implementation can be assessed.

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

Who it’s for

IT professionals who want to build their knowledge of AIOps and understand its role within evolving IT environments.

Prerequisites

No formal prerequisites are specified for this course.

Learning experience

Our experienced trainers and interactive labs create a focused, practical environment – so you can put theory into practice from day one.

FAQs

Find answers to common questions about course content, relevant job roles, AIOps in IT operations, assessment, the certification exam and recommended experience before attending.

What knowledge does the AIOps Foundation course develop?

You’ll learn the terminology and principles needed to understand AIOps in context. This includes how data and AI technologies contribute to AIOps, how operational performance can be measured, where AIOps can be applied and what organisations need to consider when planning implementation.

Which roles is this course relevant to?

The course suits people whose work touches IT operations or AIOps, including DevOps and cloud engineers, data professionals, software engineers, Site Reliability Engineers, IT managers and security specialists. It is also relevant to architects, product owners, system integrators and business stakeholders involved in AIOps initiatives.

What role can AIOps play in day-to-day IT operations?

AIOps brings data analytics, Machine Learning, automation and other AI capabilities into IT operations. The course examines how these elements work together and introduces use cases, operational measures and approaches that help you understand where AIOps may fit within an organisation’s existing IT practices.

How is AIOps performance assessed?

You’ll examine operational measures used in the AIOps context, including availability, reliability, Mean-Time Between Failures, Mean-Time to Acknowledge, Mean-Time to Detect and Mean-Time to Resolve. The course also considers AI accuracy and AIOps system visibility when evaluating an implementation.

What experience do I need before attending?

There are no formal prerequisites. Familiarity with IT terminology and some IT-related work experience are recommended, but previous AIOps experience is not required. The course is designed to build knowledge of AIOps concepts, technologies and implementation from foundation level.

What our customers say

“Stuart was very good in explaining, and very patient, finding alternative ways to explain concepts where understanding was not grasped on the first attempt."

Stuart, Assurance Manager - Government

“Tarn is an excellent instructor. Everything was clearly communicated. One of the best courses I have attended in recent years.”

Simon, Senior DBA, Government

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