Course Information
Course Name
AIOF: DEVOPS INSTITUTE® AIOps Foundation
Exam code
AIOF
Duration
2 Days
Certification
DEVOPS INSTITUTE® AIOps Foundation
Overview
This DEVOPS INSTITUTE® AIOps Foundation course aims to cover the origins of DEVOPS INSTITUTE® AIOps, including the history behind the term, the 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.
This course introduces key principles and foundational concepts along with the core technologies of AIOps: big data and machine learning. It provides students with an understanding of how and why digital transformation, together with the evolution of machine learning, has led to the rise of AIOps as an indispensable tool in today’s IT operational landscape.
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 Engineering (SRE).
This foundation course will also provide students with a solid understanding of the benefits of implementing AIOps in an organization, including common challenges and key steps to ensure valuable and successful integration of artificial intelligence into day-to-day IT operations.
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 for use after the class.
This course positions learners to successfully complete the DEVOPS INSTITUTE® AIOps Foundation certification exam.
DEVOPS INSTITUTE® is a registered trademark of the PeopleCert group. Used under licence from PeopleCert. All rights reserved.
Audience Profile
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
Prerequisites
Familiarity with IT terminology and IT related work experience are recommended.
At Course Completion
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
Course Outline
Module 1: AIOps Foundation
Module 2: AIOps in the Organization
Module 3: Core Technologies: Data
Module 4: Core Technologies: Machine Learning (ML)
Module 5: AIOps and Operations Metrics
Module 6: AIOps Use Cases and Organizational Mindset
Module 7: Evaluating AIOps Impact
Module 8: Implementing AIOps in the Organization
All DevOps Institute certification courses are conducted by certified trainers from Iverson.
Digital Methods acts as the official training partner and assists with program consultation, registration, coordination, scheduling, and administrative arrangements to ensure a seamless and professionally managed training experience.