Apply AIOps principles to improve IT operations, automation and service reliability using AI and machine learning.
This course covers core AIOps concepts including big data analytics, machine learning, automation, operational metrics, AIOps implementation strategies and the relationship between AIOps, MLOps and modern IT operations.
- Why get trained: Learn how to apply AIOps concepts using machine learning, big data analytics, automation and operational metrics to improve IT operations and service reliability.
- Why it matters: AIOps capabilities help organizations reduce downtime, improve operational efficiency and support digital transformation through intelligent IT operations.
- Who should attend: IT operations professionals, DevOps engineers, cloud engineers, site reliability engineers and IT leaders looking to understand and implement AIOps practices.
Build practical AIOps knowledge to improve operational efficiency, automation and service reliability with Trainocate. HRD Corp Claimable.
Overview
This AIOps Foundation course aims to cover the origins of AIOps including the history behind the term, patterns that preceded it and the technology context in which it has evolved.
- Gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.
- Learn key principles and foundational concepts along with the core technologies of AIOps: big data and machine learning
- Validate understanding of how and why digital transformation, together with the evolution of machine learning, have brought about the rise of AIOps as an indispensable tool in today’s IT Operational landscape.
This foundation course will also provide the student with a solid understanding of the benefits of implementing AIOps in the organization, including common challenges and key steps in ensuring valuable and successful integration of artificial intelligence in the day to day operations of information technology solutions.
Unique and exciting exercises will be used to apply the concepts covered in the course and sample documents, templates, tools, and techniques will be provided to use after the class.
This course positions learners to successfully complete the AIOps Foundation certification exam.
Skills Covered
At the end of the course, the following learning objectives are expected to be achieved:
- Clear understanding of the history, origins, and current developments of AIOps
- Define and comprehend basic concepts and key principles within AIOps
- Understand general concepts of big data and artificial intelligence, and how they relate to AIOps
- Recognize the relationship between AIOps and MLOps
- Understand the effectiveness of AIOps deployment and possible benefits
- Understand the changes in mindset, collaboration, and skills for AIOps to be applied in the organization
- Quantify outcomes of an AIOps implementation leveraging industry-standard metrics
- Understand usual challenges and opportunities of applying AIOps in the organization
- Visualize the challenges, trends, and ethical considerations organizations might face while deploying an AIOps initiative
Prerequisites
- Familiarity with IT terminology and IT related work experience are recommended.
Target Audience
The target audience for the DEVOPS INSTITUTE® AIOps Foundation course includes professionals such as:
- Anyone focused on IT Operations
- Anyone interested in software in today’s IT landscape
- AIOps Architects and Engineers
- Business Managers and Stakeholders
- Cloud Engineers
- Data Engineers and Scientists
- DevOps Engineers and Practitioners
- IT Directors
- IT Managers
- IT Security Analysts
- IT Team Leaders
- Product Owners
- Scrum Masters
- Software Engineers
- Site Reliability Engineers
- System Integrators
- AIOps Platform and Tool Providers
- Module 1: AIOps Foundation
- Module 2: AIOps in the Organization
- Module 3: Core Technologies Data
- Module 4: Core Technologies Machine Learning (ML)
- Module5 : AIOPs and Operations Metrics
- Module 6: AIOps Use Cases and Organizational Mindset
- Module 7: Evaluating AIOps Impact
- Module 8: Implementing AIOps in the Organization
Dates & Locations
August 6, 2026 - August 7, 2026
August 6, 2026 - August 7, 2026
October 8, 2026 - October 9, 2026
October 8, 2026 - October 8, 2026
December 7, 2026 - December 8, 2026
December 7, 2026 - December 8, 2026
Exam & Certification
AIOps Foundation (AIOF) exam
Successfully passing (65%) the 60-minute examination, consisting of 40 multiple-choice questions, leads to the AIOps Foundation certificate. The certification is governed and maintained by DevOps Institute, a member of the PeopleCertGroup.
Training & Certification Guide
Frequently Asked Questions
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