AIOps Foundation
As companies deploy code faster and more often than ever, new vulnerabilities are also accelerating. When the boss says, “Do more with less”, DevOps practices adds business and security value as an integral, strategic component. Delivering development, security, and operations at the speed of business should be an essential component for any modern enterprise.
Training at a glance
Level
Foundation
Duration
2 Days
Experience
1 year: IT
Average Salary
$124,000
Labs
No
Level
Beginner
Duration
2 Days
Experience
1 year: DevOps
Average Salary
$181,505
Labs
No
Training Details
This course introduces the history, origins, and current developments of AIOps (Artificial Intelligence for IT Operations). You will gain a foundational understanding of how big data analytics, machine learning algorithms, automation, and optimization are combined into a single platform. The certification validates your knowledge of key principles and core technologies—big data and machine learning—that drive the rise of AIOps as an indispensable tool in today’s rapidly evolving, cloud-native IT operational landscape.
Upon completion, you will be able to:
Understand 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 and possible benefits of AIOps deployment.
Understand the required changes in mindset, collaboration, and skills for AIOps to be applied effectively.
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 Introduction
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
The target audience for the AIOps Foundation course are professionals including:
Anyone focused on IT Operations
AIOps Architects and Engineers
Data Engineers and Scientists
DevOps Engineers and Practitioners
Site Reliability Engineers (SREs)
IT Managers, Directors, and Team Leaders
Security Analysts, Consultants, and System Integrators
Business Managers, Stakeholders, and Product Owners
Familiarity with IT terminology and IT-related work experience are recommended.
Upcoming Classes
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