Implementing Cisco Data Center AI Infrastructure Training in New Zealand

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 5 Days
  • Level: Intermediate
  • Price: From NZD 10,200 +TAX
  • Upcoming Date:

The Implementing Cisco Data Center AI Infrastructure course provides a comprehensive understanding of how to design, deploy, operate, and troubleshoot AI-enabled data centre environments using Cisco technologies.

The training explores how AI and machine learning workloads influence modern data centre architecture, including networking, compute, and storage decisions. Participants also learn how to monitor, optimise, and troubleshoot AI infrastructure using telemetry, analytics, and automation tools.

This course prepares learners for the 300-640 DCAI certification exam.


Prerequisites

There are no strict prerequisites, but learners should have knowledge of:

  • Core data centre technologies
  • Networking fundamentals
  • Cisco UCS architecture
  • Cisco Nexus switching

Who Should Attend

This course is suitable for:

  • Network engineers
  • Data centre engineers
  • Systems engineers
  • Storage administrators
  • Technical architects
  • Consulting engineers
  • Technical leads and project managers

What You Will Learn

By the end of this course, learners will be able to:

  • Understand AI, machine learning, and generative AI concepts
  • Explain how AI workloads impact data centre design
  • Understand AI cluster architecture and lifecycle
  • Design scalable and sustainable AI infrastructure
  • Apply workload placement strategies
  • Understand networking requirements for AI workloads
  • Monitor systems using telemetry and analytics
  • Troubleshoot AI infrastructure environments

Training Outline

AI Foundations

  • AI, ML, and deep learning
  • Generative AI concepts
  • Data centre use cases

AI Clusters and Models

  • Cluster architecture
  • Model lifecycle
  • Pre-trained models and fine-tuning
  • Jupyter environments

Infrastructure Fundamentals

  • Compute, network, storage
  • Workload placement
  • Governance and compliance
  • Sustainable design

Networking for AI

  • Network requirements
  • Transport technologies
  • Architecture patterns
  • Layer 2/3 protocols
  • Migration strategies

High-Performance Networking

  • RDMA and RoCE
  • Low-latency Ethernet
  • QoS and lossless networks
  • Congestion control (ECN, PFC)
  • Cisco Nexus tools

Data and Performance

  • Data preparation
  • Performance optimisation
  • Traffic monitoring

Hardware and Virtualisation

  • AI accelerators
  • Compute architecture
  • Virtualisation
  • Storage strategies

Deployment and Operations

  • Cluster setup
  • Fabric management
  • Generative AI deployment
  • Monitoring

Troubleshooting

  • Common issues
  • Performance and connectivity problems
  • Telemetry-based diagnostics
  • Structured troubleshooting

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Implementing Cisco Data Center AI Infrastructure in New Zealand through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from New Zealand or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Implementing Cisco Data Center AI Infrastructure through face-to-face Classroom Based training in New Zealand. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Implementing Cisco Data Center AI Infrastructure in New Zealand as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in New Zealand or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Implementing Cisco Data Center AI Infrastructure Training Course in New Zealand Schedule

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

For corporate groups, we can organize this training as an on-site private group.
12 October 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
18 October 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
21 October 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
04 November 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
07 November 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
13 November 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
23 November 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX
24 November 2026 (5 Days)
Auckland, Wellington, Christchurch
NZD 10,200 +TAX

New Zealand, with vibrant and rapidly growing tech communities in Auckland, Wellington, and Christchurch, is carving out a global niche in innovative software solutions and specialized niche technology markets. The nation’s commitment to digital readiness is backed by the research excellence of the University of Auckland and Victoria University of Wellington, focusing on areas like Creative-tech, Agritech, and Health-tech innovation. New Zealand offers a unique and forward-thinking environment for digital learning, where agility and creative problem-solving are highly valued in the professional landscape. Our IT education services in New Zealand focus on high-demand skills such as Web Development, Agile Project Management, and Information Security. We provide the tools and expertise necessary for Kiwi professionals to lead technological change in an economy that prioritizes sustainability, innovation, and global connectivity.