This comprehensive five-day instructor-led course combines architectural and implementation guidance with hands-on labs to help you develop practical skills across HPE Compute and Hybrid Cloud platforms. You will start by reviewing design and implementation best practices and available tools, then learn how to monitor and manage servers using HPE Compute Ops Management and GreenLake. 

The course covers designing and deploying HPE Synergy solutions, including provisioning compute modules, followed by designing and implementing HPE Morpheus VM Essentials for workload automation. You will also be introduced to HPE Private Cloud AI, gaining hands-on experience deploying AI models and knowledge bases within a secure private cloud environment. By the end of the course, you will be equipped to design, deploy, manage, and optimize compute, virtualization, and AI solutions using HPE’s integrated management and cloud platforms.

Ideal candidate for this course

Typical candidates for this course are IT professionals who interpret customer requirements to design, install, configure, and manage HPE Compute solutions.

Roles that will benefit from this course are:

• Presales Engineers
• Solutions Integrators
• Systems Engineers
• Technical Consultants

Suggested prerequisites

• HPE Compute Fundamentals, Rev. 26.21

Upon Completion

After you successfully complete this course, expect to be able to:

• Determine the customer’s business needs, requirements, and desired outcomes and design for an HPE solution
• Identify the management tasks that HPE Compute Ops Management supports for various HPE and third-party servers
• Explain strategies for using HPE Compute Ops Management
• Use HPE Compute Ops Management integrations to simplify management of the data center
• Describe the benefits of HPE Synergy systems as a whole, as well as the benefits of each component
• Position HPE Synergy for various use cases and, given a scenario, determine the appropriate size and design for the solution
• Describe HPE Morpheus VM Essentials software and articulate its benefits
• Design an HPE compute solution for HPE Morpheus VM Essentials software, including understanding the storage and networking requirements
• Understand how to Implement HPE Morpheus VM Essentials
• Describe components of HPE Private Cloud AI with NVIDIA and distinguish the configuration sizes
• Explain the benefits of HPE Private Cloud AI software
• Describe the delineation of responsibilities for HPE Private Cloud AI between HPE and the customer (or partner)
• Navigate the HPE AI Essentials interface and demonstrate how to access built-in tools
• Demonstrate how to serve models using HPE Private Cloud AI with NVIDIA
• Describe the benefits of NVIDIA software, such as NIMs

Topics

Review Design and Implementation Best Practices and Tools

• Determine the customer’s business needs, requirements, and desired outcomes
• Given a customer scenario, determine the appropriate size and design for an HPE solution
• Confirm and establish the roles, responsibilities of HPE and the customer/partner and resources required in deploying an HPE product or solution
• Assist the customer to gather information to ensure a successful installation

Get Started with HPE Compute Ops Management

• Identify the management tasks that HPE Compute Ops Management supports for various HPE and third-party servers
• Explain strategies for using HPE Compute Ops Management to customers
• Describe the benefits of HPE Compute Ops Management integrations

Monitor Servers with HPE Compute Ops Management and GreenLake

• Monitor servers with HPE Compute Ops Management, including using AI insights
• Use HPE Compute Ops Management integrations to simplify management of the data center

Manage Servers with HPE Compute Ops Management

• Onboard HPE servers for direct management by HPE Compute Ops Management and onboard third-party servers for credential-based management
• Implement HPE servers using HPE Compute Ops Management, including configuring the workload profile, configuring the local storage settings, provisioning the OS, and updating the software

Design HPE Synergy Solutions

• Describe the benefits of HPE Synergy systems as a whole, as well as the benefits of each component
• Position HPE Synergy for various use cases and, given a scenario, determine the appropriate size and design for the solution
• Generate a proposal for an HPE Synergy solution using the appropriate HPE tools

Deploy HPE Synergy Solutions and Provision Compute Modules

• Install an HPE Synergy solution
• Implement and validate an HPE Synergy solution, including establishing fabrics, configuring composable and external storage, and configuring server profile templates

Design HPE Morpheus VM Essentials Software

• Describe HPE Morpheus VM Essentials Software and articulate its benefits
• Design an HPE compute solution for HPE Morpheus VM Essentials Software, including understanding the storage and networking requirements

Implement HPE Morpheus VM Essentials Software

• Install HPE Morpheus VM Essentials Software and Morpheus VM Essentials Manager
• Provision a Morpheus VM Essentials Software cluster
• Provision a VM in a Morpheus VM Essentials Software cluster

Determine Customers’ AI Requirements

• Position HPE AI solutions based on customers’ AI maturity, workloads, and use cases

Introduction to HPE Private Cloud AI

• Describe components of HPE Private Cloud AI with NVIDIA and distinguish the configuration sizes
• Explain the benefits of HPE Private Cloud AI software
• Describe the delineation of responsibilities for HPE Private Cloud AI between HPE and the customer (or partner)

Get Started with HPE Private Cloud AI

• Prepare HPE Private Cloud AI for use, including tasks such as installing a trusted certificate, establishing projects, setting up data sources
• Navigate the HPE AI Essentials interface and demonstrate how to access built-in tools

Deploy Models and Knowledge Bases with HPE Private Cloud AI

• Demonstrate how to serve models using HPE Private Cloud AI with NVIDIA
• Describe the benefits of NVIDIA software, such as NIMs