Nutanix Certified Professional - Artificial Intelligence (NCP-AI)

The Nutanix Certified Professional - Artificial Intelligence (NCP-AI) 6.10 exam will measure a candidate’s ability to install, configure, optimize, and troubleshoot Nutanix Enterprise AI (NAI), as well as integrate GenAI applications and agents with NAI.

Successful candidates for the NCP-AI 6.10 exam and NCP-AI 6 certification have at least three years of virtual infrastructure experience, as well as one year of experience working with cloud native technologies and the Linux command-line interface (CLI). The candidates should have foundational knowledge of virtual infrastructural components, such as virtual machines, hypervisors, and virtual networking. The candidate should also have knowledge of the NCI cloud, cloud-based Infrastructure-as-a-Service (IaaS), GPUs, and Nutanix Unified Storage. Finally, the candidate should possess a Certified Kubernetes Administrator (CKA) certification level of knowledge.

Knowledge Objectives

Section 1 – Deploy a Nutanix Enterprise AI Environment

• Validate installation prerequisites
• Install Nutanix Enterprise AI components
• Configure DNS, setup the URL, and manage required certificates

Section 2 – Configure a Nutanix Enterprise AI Environment

• Onboard users to Nutanix Enterprise AI
• Import Large Language Models (LLMs)
• Create endpoints
• Create and apply keys for each API endpoint
• Deliver endpoints to the consumer

Section 3 - Perform Day 2 Operations

• Prepare requirements for connecting the app
• Interpret performance details and optimize accordingly
• Monitor access activity for outlier detection
• Select the appropriate LLM to optimize output quality

Section 4 - Troubleshoot a Nutanix Enterprise AI Environment

• Troubleshoot and resolve performance and resource utilization issues
• Remediate health check failures on the cluster
• Troubleshoot model import and endpoint creation

Section 5 - Connect Applications to a Nutanix Enterprise AI Environment

• Configure and validate an application with the endpoint
• Check endpoint metrics corresponding to application usage