DevOps Institute®: AIOps Foundation Training

The AIOps Foundation certification course, developed by the DevOps Institute, provides professionals with a deep understanding of how to combine big data analytics, machine learning algorithms, automation, and optimization into a unified operational intelligence platform.

This course explores the origins, evolution, and modern applications of AIOps (Artificial Intelligence for IT Operations). Participants will discover how digital transformation, cloud computing, and the rise of machine learning have made AIOps an indispensable tool for today’s IT landscape.

Through hands-on exercises and real-world use cases, learners will gain practical insights into how AIOps enhances IT performance, drives predictive monitoring, and automates root cause analysis — all while improving service reliability and business agility.

Upon completion, participants will be well-prepared to take the AIOps Foundation Certification Exam and apply AIOps concepts effectively within their organizations.

• Familiarity with IT terminology and basic understanding of IT operations is recommended.

• No formal technical prerequisites are required.

The AIOps Foundation course is ideal for:

• IT Operations Professionals

• DevOps Engineers & Practitioners

• Cloud Engineers and Architects

• Data Scientists & Data Engineers

• Site Reliability Engineers (SREs)

• IT Managers, Directors, and CIOs

• IT Security Analysts & System Integrators

• Business Managers and Technology Stakeholders

• AIOps Tool Providers and Platform Engineers

By the end of this course, learners will be able to:

• Understand the history, origins, and evolution of AIOps.

• Define key AIOps concepts, principles, and technologies.

• Explain the relationship between AIOps, MLOps, DevOps, and Site Reliability Engineering (SRE).

• Explore how big data and machine learning form the backbone of AIOps platforms.

• Recognize the business benefits of AIOps deployment.

• Understand the cultural and organizational shifts required for successful AIOps implementation.

• Quantify AIOps outcomes using industry-standard metrics.

• Identify common challenges, opportunities, and ethical considerations in applying AIOps.

• Evaluate AIOps maturity and design an actionable AIOps roadmap for your organization.

Course Introduction

• Overview, objectives, and certification process

• Key terminology and modern IT context

Module 1: AIOps Foundation

• Definition and evolution of AIOps

• From IT operations to intelligent automation

• The rise of machine learning in IT monitoring

Module 2: AIOps in the Organization

• Organizational impact and cultural transformation

• Adopting an AIOps mindset

• Integrating AIOps with existing DevOps pipelines

Module 3: Core Technologies – Data

• Understanding Big Data in AIOps

• Data collection, normalization, and correlation

• Applying analytics for intelligent operations

Module 4: Core Technologies – Machine Learning (ML)

• ML fundamentals and model types

• Supervised vs. unsupervised learning in IT operations

• Correlation, anomaly detection, and predictive insights

Module 5: AIOps and Operations Metrics

• Defining operational metrics and KPIs

• Using AIOps for proactive incident management

• Leveraging metrics for business alignment

Module 6: AIOps Use Cases & Organizational Mindset

• Real-world AIOps applications in enterprises

• Enhancing collaboration between humans and AI

• Ethical considerations and responsible AI use

Module 7: Evaluating AIOps Impact

• Measuring ROI and value realization

• Defining success criteria for AIOps implementation

Module 8: Implementing AIOps in the Organization

• Step-by-step roadmap for AIOps adoption

• Common challenges and mitigation strategies

• Best practices for sustainable integration

Certification Exam

Upon completion, participants can sit for the DevOps Institute AIOps Foundation Exam.

Exam Details:

• Duration: 60 minutes

• Format: 40 multiple-choice questions

• Passing Score: 65%

• Type: Online, open-book, proctored exam