Course 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.
This certification 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.
Core technologies of machine learning and big data will be addressed, 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.
AIOps Foundation will also provide candidates with a solid understanding of the benefits of implementing AIOps in the organization, including common challenges and key steps in ensuring the valuable and successful integration of artificial intelligence in the day-to-day operations of information technology solutions.
Who should attend
The target audience for the AIOps Foundation course includes:
- 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