Overview
AIOps Foundation 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. Candidates will gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.
In this course you will addresses key principles and foundational concepts along with the core technologies of AIOps: big data and machine learning. AIOps Foundation will validate candidates’ 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.
Prerequisites
Participants should have:
- Familiarity with IT terminology and IT related work experience are recommended.
Target Audience
This course is designed for:
- Anyone focused on IT Operations
- Anyone interested in software in today’s IT landscape
- AIOps Architects and Engineers
- Business Managers, 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
Learning outcomes
By the end of this course, learners will be able to:
- 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
Exams and Assessments
This course includes an exam voucher for the associated 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 PeopleCert Group.
Hands-On Learning
The course includes various group discussion and individual exercises to reinforce the theory and practice.
Frequently asked questions
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