Course data sheet
HPE AI Solutions, Rev. 26.11 (0001215557)
H54KFS
Table of Contents
Overview
This course teaches you about artificial intelligence (AI) and its applications within private cloud environments. You review core AI concepts, learn to assess and understand customer AI requirements, and explore how to leverage HPE Private Cloud AI with NVIDIA technologies. The curriculum focuses on designing and deploying scalable, high-performance AI solutions using HPE and NVIDIA tools. You also get an Introduction to HPC and HPC/AI convergence, with the HPE HPC compute portfolio.
Audience
This course is ideal for HPE partners who interpret customer requirements to design, install, configure, and manage HPE compute solutions. Roles that benefit from this course include:
- Presales engineers
- Solutions integrators
- Systems engineers
- Technical consultants
Prerequisites
Before attending this course, you should have successfully completed the HPE AI Fundamentals, Rev. 26.11 course. You should also have several years of experience implementing HPE compute solutions, as well as a working knowledge of basic storage, networking, IT operations, software, security, and services.
Objectives
After completing this course, you should be able to:
- Understand fundamental AI concepts
- Assess customers’ AI maturity, workloads, and use cases
- Position HPE AI solutions based on customer AI maturity, workloads, and use cases
- Describe the infrastructure components of HPE Private Cloud AI with NVIDIA
- Explain the benefits of HPE and NVIDIA infrastructure
- Explain how this infrastructure meets AI workload requirements
- Describe the software components of HPE Private Cloud AI with NVIDIA
- Explain the benefits of HPE and NVIDIA software components
- Size HPE Private Cloud AI with NVIDIA solutions using appropriate customer information and HPE tools
- Demonstrate how to serve models using HPE Private Cloud AI with NVIDIA
- Describe the benefits of NVIDIA software, such as NIMs
- Use HPE Private Cloud AI and HPE AI Essentials to demo a simple AI use case
- Use NVIDIA blueprints
- Describe the benefits of data engineering and data analytics tools included in HPE AI Essentials
- Use data engineering and data analytics tools included in HPE AI Essentials to support AI needs
- Meet changing customer requirements (such as for software updates and expansions) for HPE Private Cloud A
- Monitor, troubleshoot, and investigate performance issues on HPE Private Cloud AI solutions (including air-gapped systems)
- Given a scenario, design an edge inferencing solution (including selecting the correct servers, GPUs, and networking)
- Explain the benefits of HPE AI optimized solutions
- Identify and describe solutions in HPE HPC compute portfolio, including their benefits
- Describe HPE management tools for HPE HPC solutions
Certifications and Related Exams
Selected items from this course are included in the following exam:
Course outline
| Module 1: AI Overview |
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| Module 2: Understand Customer AI Requirements |
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| Module 3: Introduction to HPE Private Cloud AI |
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| Module 4: Deep Dive into HPE Private Cloud AI with NVIDIA Infrastructure |
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| Module 5: Getting Started with HPE Private Cloud AI |
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| Module 6: Deploy Models on HPE Private Cloud AI |
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| Module 7: Maintain HPE Private Cloud AI |
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| Module 8: Design and Deploy Edge Inferencing Solutions |
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| Module 9: HPC Solutions |
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- Learn HPE and in-demand IT industry technologies from expert instructors.
- Build career-advancing power skills.
- Enjoy personalized learning journeys aligned to your company’s needs.
- Sharpen your skills with access to real environments in virtual labs.
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a50015202enw, H54KFS A.00, March 2026