COURSE OBJECTIVE:
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
TARGET AUDIENCE:
The target audience for the AIOps Foundation (AIOF)® course are professionals including:
• 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
COURSE PREREQUISITES:
Attendees should meet the following prerequisites:
• Familiarity with IT terminology and IT related work experience are recommended.
COURSE CONTENT:
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
FOLLOW ON COURSES:
Not available. Please contact.