The AIOps Foundation course introduces participants to the rapidly evolving domain of Artificial Intelligence for IT Operations, a practice that is transforming how modern digital enterprises manage reliability, performance, and customer experience. As organisations adopt cloud, microservices, and DevOps practices at scale, traditional monitoring and operations approaches become insufficient. This course equips learners with a clear understanding of how AIOps leverages machine learning, big data analytics, and automation to enhance decision making, accelerate incident response, and create self healing systems.

Participants will explore the fundamental concepts underpinning AIOps, including data pipelines, telemetry, observability, event correlation, anomaly detection, predictive analytics, and intelligent automation. The course connects these concepts to real world scenarios such as proactive outage prevention, noise reduction in monitoring alerts, automated root cause analysis, capacity planning, and improving Mean Time to Detect and Resolve incidents.

The training emphasises the practical benefits of AIOps in supporting DevOps, SRE, CloudOps, and ITSM teams by enabling faster feedback loops, increased operational visibility, and high quality service delivery. Learners will examine AIOps reference architectures, use cases, and organisational adoption patterns, along with cultural and workflow changes required to integrate AI driven capabilities into existing processes.

Through case studies, interactive discussions, and hands on conceptual exercises, participants will gain the knowledge needed to evaluate AIOps tools, design value driven use cases, and support their organisation’s journey toward autonomous operations. By the end of the course, participants will understand how AIOps enhances resilience, optimises performance, and drives continuous improvement across digital ecosystems.