Overview
The course covers the origins of AIOps including the history behind the term, patterns that preceded it and the technology context in which it has evolved. Learners will gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.
Key principles and foundational concepts will provide students with an understanding of how and why digital transformation, together with the evolution of machine learning, have brought about the rise of AIOps. Core technologies of machine learning and big data will be discussed, as well as the basic concepts of artificial intelligence, different types of machine learning models that can be implemented, and the relationship between AIOps and MLOps, DevOps and Site Reliability.
This course provides learners with an understanding of the benefits of implementing AIOps in the organisation, 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.
Course Description & Learning Outcomes
By completing this course, the following Learning Outcomes (LO) will be achieved:
LO1:Troubleshoot issues in IT environment and collect operational data by applying AIOps.
LO2: Perform advanced infrastructure support activities using AIOps.
LO3: Develop material for infrastructure administrative activities using AIOps.
LO4: Apply machine learning of AIOps for problem management activities.
LO5: Use operational metrics of AIOps in end-to-end support of management activities.
LO6: Develop use cases for infrastructure upgrade or update using AIOps.
L07: Assess infrastructure upgrade for impact on performance levels with AIOps.
L08: Plan infrastructure upgrade activities using AIOps.
Recommended Prerequisites
There are no prerequisites to attending the AIOps Foundation course or sitting the certification examination. Familiarity with IT terminology and IT related work experience is advantageous.
Schedule
End Date: 14 Nov 2025, Friday
3 days, 9am – 6pm
Location: 243 Beach Rd, #02-01 , 189754Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Start Date: 12 November | 9am to 6pm |
| End Date: 14 November | 9am to 6pm |
Pricing
Course fees: Eligible applicants may receive up to 70% off course fees through SkillsFuture Singapore (SSG), Post-Secondary Education Account (PSEA), SkillsFuture Credit (SFC), and NTUC UTAP funding schemes.
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Data Analytics (Proficiency level: Beginner)
- Internet of Things (IoT) (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Feisal Ismail, Principal Consultant, Sapience Consulting Pte Ltd
Extensive technical and managerial experience supporting organization's across government, pharmaceutical, banking and financial industries. Well-versed in creating and leading high-performing teams through effective work methodologies that leverages on technology and best practices to achieve organizational objectives.
