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HPE Private Cloud AI

CP104

Table of Contents

Table of Contents

    Learning path ID

    CP104

    Duration

    2 hours

    Overview

    HPE Private Cloud AI is a co-designed HPE and NVIDIA enterprise solution that combines a completed infrastructure, software portfolio, and AI model library in one product—all managed via GreenLake to offer a “private AI in a box.”


    In this learning path, you explore identity and access management (IAM) in HPE AI Essentials by detailing user roles, access controls, authentication tokens, and GPU resource management. It also covers application lifecycle management, including importing applications and configuring solution accelerators. You also learn how to perform administrative tasks like monitoring alerts, auditing, troubleshooting, and updating software.

    Learning path ID

    CP104

    Duration

    2 hours

    Audience

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

    Components

    This learning path includes the following courses:

    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 Services – Learning Credits.

    Prerequisites

    Before starting this learning path, you should have a basic understanding of:

    • Kubernetes or any container orchestration software
    • Big data open-source tools and frameworks
    • GreenLake for File Storage

    Objectives

    After completing this learning path, 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

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