E-Learning: Designing Cisco UCS X-Series for AI (DCUCSX-CPLL)

The Designing Cisco UCS-X Infrastructure for AI Workloads (DCUCSX) Learning Path introduces you to the modular Cisco UCS X-Series platform, designed to meet the dynamic demands of AI, machine learning, big data, and virtual desktop workloads. You will learn how to leverage Cisco Intersight for cloud-based management, enabling simplified operations and enhanced scalability. This Learning Path guides you through architecture, hardware components, and software-defined capabilities that allow you to optimize infrastructure, reduce costs, and future-proof your data center. By understanding these technologies, you will be empowered to design and deploy AI-ready infrastructure that supports both traditional and next-generation workloads with efficiency and agility.

This course is just over 9 hours in duration and is worth 9 Continuing Education Credits.

After completing this course you should be able to:

• Understand the modular architecture and benefits of Cisco UCS X-Series for AI workloads
• Use Cisco Intersight to simplify infrastructure management and automate operations
• Design scalable, composable compute and GPU resources tailored to AI/ML demands
• Optimize network and storage fabrics for high-throughput AI training and inferencing
• Apply best practices for deploying, monitoring, and supporting AI infrastructure efficiently

Cisco UCS-X Infrastructure Design for AI Workloads

• Pre-Assessment
• Cisco UCS-X Architecture
• Cisco UCS AI Sizing
• Cisco UCS-X and GPU Solutions Implementation in Intersight
• Cisco UCS-X Operations and Support
• Automation for Cisco UCS-X
• Post-Assessment

Attendees should meet the following prerequisites:

• This is an intermediate course and as such attendees should have a good understanding of the Cisco UCS X-Series platform.