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  • Contents
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HPE Private Cloud AI: HPE AI Essentials Administration

CP104

Table of Contents

Table of Contents

    Course ID

    CP104

    Duration

    2 hours

    Format

    Digital Learner

    Schedule, pricing & registration

    Browse related courses

    Overview

    This course explores identity and access management (IAM) in HPE AI Essentials by detailing user roles, access controls, authentication tokens, and GPU resource management. You learn about application lifecycle management, including importing applications and configuring solution accelerators. This course also covers administrative tasks like monitoring alerts, auditing, troubleshooting, and updating software.

    Course ID

    CP104

    Duration

    2 hours

    Format

    Digital Learner

    Schedule, pricing & registration

    Browse related courses

    Audience

    This course is ideal for system administrators, integrators, deployment engineers, and learners who want to manage and monitor HPE Private Cloud AI (PCAI) using HPE AI Essentials.

    Prerequisites

    Before attending this course, you should have an understanding of Kubernetes or any container orchestration software.

    • A basic understanding of big data open-source tools and frameworks
    • A basic understanding of HPE GreenLake for File Storage

    Objectives

    After completing this course, you should be able to:

    • Summarize the steps involved in completing HPE Private Cloud AI deployment
    • Describe IAM in HPE AI Essentials
    • Demonstrate application lifecycle management using HPE AI Essentials
    • Discuss HPE AI Essentials monitoring, audit process, and common troubleshooting
    Divider

    Course outline

    Module 1: Setup Overview
    • Summarize the steps performed at factory, integration center, and onsite deployment process
    • Identify the steps to log in to PCAI and HPE AI Essentials

    Module 2: Identity and Access Management
    • Define IAM in HPE AI Essentials software
    • Compare various user roles and their functionality
    • Classify user isolation with examples
    • Define auth tokens usage
    • Recognize data access management in HPE AI Essentials
    • Describe the GPU resource management features

    Module 3: Managing the Application Lifecycle
    • Recognize the steps for importing applications and SSO support in HPE AI Essentials
    • Describe adding and managing solution accelerators in HPE AI Essentials
    • Identify steps for configuring included applications (virtual assistant, text simplification and RAG essentials)
    • State data protection and disaster recovery feature

    Module 4: Monitoring, Alerting, Auditing, and Troubleshooting
    • Describe monitoring in HPE AI Essentials
    • Using why logs for monitoring
    • Define alerting architecture and its components in HPE AI Essentials
    • Describe steps to access log files for the platform and applications
    • List audit logging steps
    • Identify troubleshooting steps with HPE AI Essentials
    • List the steps required for updating HPE Private Cloud AI software
    • Describe steps for updating component firmware and software out-of-band

    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 .

    Explore our simplified purchase options, including HPE Education Learning Credits .

    Learn more

    HPE.com/ww/learnbigdata

    © Copyright 2025 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty.

    Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein.

    All third-party marks are property of their respective owners.

    a50014626enw, CP104, January 2026

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