AIOF: DEVOPS INSTITUTE® AIOps Foundation

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:

1. Clear understanding of the history, origins, and current developments of AIOps

2. Define and comprehend basic concepts and key principles within AIOps

3. Understand general concepts of big data and artificial intelligence, and how they relate to AIOps

4. Recognize the relationship between AIOps and MLOps

5. Understand the effectiveness of AIOps deployment and possible benefits

6. Understand the changes in mindset, collaboration, and skills for AIOps to be applied in the organization

7. Quantify outcomes of an AIOps implementation leveraging industry-standard metrics

8. Understand usual challenges and opportunities of applying AIOps in the organization

9. 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.