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
On completion of this course, the following learning outcomes will be achieved:
Understand the history, origins, current developments, basic concepts and key principles within AIOps
Understand AIOps-related concepts of big data and artificial intelligence and relationship with MLOps
Understand effectiveness of AIOps deployment and possible benefits
Understand mindset changes, collaboration and skills for AIOps to be applied in the organisation
Quantifying implementation outcomes
Understand typical challenges and opportunities in applying AIOps
Visualise the potential challenges, trends and ethical considerations organisations face in an AIOps initiative
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: 10 Jan 2025, Friday
2 days, 9am – 5pm
Location: 243 Beach Rd, #02-01 , 189754Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Start Date: 9 January | 9am to 5pm |
| End Date: 10 January | 9am to 5pm |
Pricing
Course fees: This course does not have any government funding currently but do reach out to us if you are keen.
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.
- Internet of Things (IoT) (Proficiency level: Beginner)
- Data Analytics (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.
