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AIOps Foundation
Duration
2 Days
Course
PCDO-AIOF
Available Formats
Classroom Training, Online Training
Course Description
Overview
This AIOps FoundationSM course covers the origins of AIOps, including the history behind then term, patterns that preceded it, and the technological context in which it has evolved. Learners will gain an understanding of the processes of combining Big Data analytics, Machine Learning algorithms, Generative AI, 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 provides learners with an understanding of how and why digital transformation, together with the evolution of Machine Learning and Generative AI have brought about the rise of AIOps as an indispensable tool in today’s IT Operational landscape. Core technologies of Big Data, Machine Learning and Generative AI are discussed, as well as the basic concepts of artificial intelligence, different types of Machine Learning models that can be implemented, the relationship between AIOps and MLOps, as well as DevOps and Site Reliability.This foundation course provides the learner 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.Practical, real-world exercises are used to apply the concepts covered in the course and sample documents, templates, tools, and techniques will be provided to use after the class.
Objectives
The learning objectives for the AIOps Foundation course include a practical understanding of:
- The basic concepts, industry contexts, and key principles of AIOps
- The concepts and principles of core technologies required for AIOps implementation
- The changes in organizational mindset and required skill sets for deploying AIOps
- How to evaluate the performance of an AIOps implementation using industry standard metrics
- The challenges and opportunities that arise when looking to deploy AIOps in the organization
- Key considerations and strategies required to succeed in promoting and delivering AIOps in your organization.
Audience
The 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
Prerequisites
-
Familiarity with IT terminology and IT-related work experience are recommended.
Topics
Introduction
Module 1: AIOps Foundation
- History and predecessors
- Core technologies and basic concepts
- AIOps capability chain
- Drivers and influences
- AIOps and DevOps
- AIOps and Site Reliability Engineering
- AIOps and security
- What is Big Data?
- Five Vs of Big Data
- AIOps data sources and types
- From source to AIOps
- AI, ML, and GenAI
- How ML models learn
- Supervised versus unsupervised
- Analytics versus AI
- AIOps and the future of AI
- Metrics and operations
- Key metrics to track across systems
- Agreements, objectives and indicators
- Shifting from reactive to proactive
- Deterministic to probabilistic
- Deep dive into use cases
- AIOps and operations metrics
- AIOps, DevOps, and SRE
- Improving AI accuracy
- AIOps system visibility
- Avoiding common challenges
- Ethics and ML
- Path to implementation
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.