AIOps Foundation

H41GXS

Course ID

H41GXS

Duration

2 days

Format

ILT/VILT

Overview

This course introduces the history, background, technologies, organizational challenges and strategies towards applying artificial intelligence for IT operations, (AIOps), a fast-growing industry driven by the rapidly evolving IT operational environments of cloud native applications. It is tailored for those focused on understanding basic concepts, implementations, use cases, and benefits.


Course ID

H41GXS

Duration

2 days

Format

ILT/VILT

  • Audience

    This course is ideal for anyone focused on IT operations or today’s IT landscape, including:

    • AIOps architects and engineers
    • AIOps platform and tool providers
    • Business managers and 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
  • Prerequisites

    There are no prerequisites for this course, but we recommend you have IT-related work experience and a familiarity with IT terminology before attending.

  • Objectives

    After completing this course, you should be able to:

    • Understand the basic concepts, industry contexts, and key principles of AIOps
    • Explain the concepts and principles of core technologies required for AIOps implementation
    • Understand the changes in organizational mindset and required skill sets for deploying AIOps
    • Know how to evaluate the performance of an AIOps implementation using industry standard metrics
    • Understand the challenges and opportunities that arise when looking to deploy AIOps in the organization
    • Know the key considerations and strategies required to succeed in promoting and delivering AIOps your organization
  • Certifications and related exams

    This course prepares you to take the PeopleCert AIOps Foundation certification exam.

  • Course outline

Module 1: AIOps Foundation


  • History and predecessors·
  • Core technologies and basic concepts·
  • AIOps capability chain

Module 2: AIOps in the Organization


  • Drivers and influences·
  • AIOps and DevOps·
  • AIOps and site reliability engineering (SRE)
  • AIOps and security

Module 3: Core Technologies: Data


  • What is big data?
  • Five versions of big data
  • AIOps data sources and types
  • From source to AIOps

Module 4: Core Technologies: Machine Learning (ML)

  • AI, ML, and GenAI
  • How ML models learn
  • Supervised versus unsupervised
  • Analytics versus AI
  • AIOps and the future of AI

Module 5: AIOPs and Operations Metrics


  • Metrics and operations
  • Key metrics to track across systems
  • Agreements, objectives and indicators

Module 6: AIOps Use Cases and Organizational Mindset


  • Shifting from reactive to proactive
  • Deterministic to probabilistic
  • Deep dive into use cases

Module 7: Evaluating the Impact of AIOps

  • AIOps and operations metrics
  • AIOps, DevOps, and SRE
  • Improving AI accuracy
  • AIOps system visibility

Module 8: Implementing AIOps in the Organization


  • Avoiding common challenges
  • Ethics and ML
  • Path to implementation

5 reasons to choose HPE as your training partner

  1. Learn HPE and in-demand IT industry technologies from expert instructors.
  2. Build career-advancing power skills.
  3. Enjoy personalized learning journeys aligned to your company’s needs.
  4. Choose how you learn: in-person , virtually , or online —anytime, anywhere.
  5. Sharpen your skills with access to real environments in virtual labs .

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