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Starts 6 June 2026 05:26

Ends 6 June 2026

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HPE ProLiant Compute AI Portfolio and Solutions

Deep dive into HPE's ProLiant Compute AI Portfolio, featuring servers like PCAI, DL145, DL380a, and DL384. These solutions are tailor-made for enterprise AI, covering extensive applications from the edge to the core. Learn about practical implementations in various sectors, including retail, maintenance, and security, enhancing operational eff.
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Overview

Deep dive into HPE's ProLiant Compute AI Portfolio, featuring servers like PCAI, DL145, DL380a, and DL384. These solutions are tailor-made for enterprise AI, covering extensive applications from the edge to the core.

Learn about practical implementations in various sectors, including retail, maintenance, and security, enhancing operational efficiency and innovation.

Syllabus

  • Course Introduction
  • Course objectives and outcomes
    Overview of HPE ProLiant Compute AI Portfolio
  • HPE PCAI (ProLiant Compute AI Infrastructure)
  • Key features and capabilities
    Integration with AI workloads
    Real-world use cases
  • HPE DL145
  • Hardware specifications and components
    Optimized AI performance
    Deployment scenarios and use cases in retail
  • HPE DL380a
  • Advanced processing capabilities
    AI applications in predictive maintenance
    Scalability and flexibility
  • HPE DL384
  • High-performance computing features
    Security applications and use cases
    Edge to core integration
  • Enterprise AI Applications
  • Understanding AI workloads
    Designing solutions for retail environments
    Maintenance solutions for industry
  • Security Solutions with HPE AI Servers
  • Threat detection and response
    Deployment best practices
    Case studies
  • Implementing AI solutions from Edge to Core
  • Architecture design principles
    Connectivity and data flow management
    Performance optimization
  • Real-world Use Cases
  • In-depth analysis of retail AI implementations
    Maintenance and operational efficiency with AI
    Enhancing security protocols
  • Course Summary and Future Trends
  • Innovations in AI server technology
    Emerging trends in enterprise AI applications
    Opportunities for further learning and development
  • Assessment and Certification
  • Overview of assessment methods
    Final project or examination details
    Certification and next steps

Subjects

Computer Science