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AIOps Foundation

  • Intermediate

The AIOps Foundation course provides a comprehensive understanding of integrating big data analytics, machine learning, and automation into IT operations. Gain insights into the evolution of AIOps and its role in digital transformation, preparing you for the AIOps Foundation certification exam.

  • Big Data
  • Machine Learning
  • Automation
  • Artificial Intelligence
  • DevOps

Overview

This course delves into the origins and evolution of AIOps, exploring its core technologies such as big data and machine learning. Learners will understand the benefits of AIOps in IT operations, including improved system reliability and efficiency. The course includes practical exercises and tools to apply AIOps concepts effectively.

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    English
    course language
  • Professional Certification
    upon course completion

Who is this course for?

IT Professionals

Individuals working in IT operations looking to enhance their skills with AIOps.

Data Analysts

Professionals interested in integrating big data analytics with IT operations.

DevOps Engineers

Engineers aiming to bridge AIOps with DevOps practices for improved system reliability.

The AIOps Foundation course equips IT professionals with the skills to integrate AI and big data into operations, enhancing system reliability and efficiency. Ideal for IT professionals and data analysts, this course prepares you for the AIOps Foundation certification, advancing your career in the evolving IT landscape.

Pre-Requisites

1 / 2

  • Familiarity with IT terminology

  • IT-related work experience

What will you learn?

Establish the AIOps Foundation
Learn the history and predecessors of AIOps, define its meaning, and distinguish it from IT Operations Analytics. Understand core technologies and basic concepts, and explore the stages of an AIOps system.
AIOps Transforms the Organization
Understand the drivers of AIOps adoption, bridge AIOps with DevOps, and foster site reliability. Handle data complexity and embrace a new paradigm for understanding system state.
Master Core Technologies: Data
Unravel the world of big data, examine its characteristics, and utilize AIOps data sources. Navigate diverse data types and understand the five V's of big data.
Leverage Core Technologies: Machine Learning
Engage with AI and machine learning, contrast learning types, and train models. Explore the role of AIOps in the future of AI and its similarities with analytics.
AIOps and Operational Metrics
Measure performance through metrics, track key metrics across systems, and assess metrics related to incidents. Ensure compliance with service level agreements.
AIOps Use Cases and Shift Organizational Mindset
Shift from a reactive to a proactive approach, analyze characteristics of operations, and delve into use cases. Understand AIOps' impact on organizational dynamics.
Evaluating AIOps Impact
Evaluate the confluence of AIOps and operational metrics, unify AIOps with DevOps and SRE, and enhance AI accuracy. Track the impact of AIOps initiatives.
Implementing AIOps in the Organization
Mitigate common challenges, address ethics in machine learning, and ensure data quality. Shape culture and comply with data and regulation standards.

New cohorts coming soon