Course Overview
TOPThis AIOps Foundation course 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. 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. The course will provide students with an 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.
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.
This foundation course will also provide the student with a solid understanding of the benefits of implementing AIOps in the organization, including common challenges and key steps in ensuring valuable and successful integration of artificial intelligence in the day to day operations of information technology solutions.
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 to use after the class.
This course positions learners to successfully complete the AIOps Foundation certification exam.
Scheduled Classes
TOP12/02/24 - GVT - Virtual Classroom - Virtual Instructor-Led | |
01/20/25 - GVT - Virtual Classroom - Virtual Instructor-Led | |
03/06/25 - GVT - Virtual Classroom - Virtual Instructor-Led | |
05/29/25 - GVT - Virtual Classroom - Virtual Instructor-Led |
Outline
TOPCourse 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
Prerequisites
TOPFamiliarity with IT terminology and IT related work experience are recommended.
Who Should Attend
TOPThe target audience for the AIOps Foundation 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