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Master NVIDIA AI Infrastructure & Pass NCA-AIIO
Master NVIDIA AI Infrastructure & Pass NCA-AIIO

Master NVIDIA AI Infrastructure & Pass NCA-AIIO: Unlock the Power of AI Infrastructure with NVIDIA's Cutting-Edge Technology

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Profile Icon Ashish Prajapati
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$9.99 $49.99
Video Jan 2026 4hrs 41mins 1st Edition
Video
$9.99 $49.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Ashish Prajapati
Arrow right icon
$9.99 $49.99
Video Jan 2026 4hrs 41mins 1st Edition
Video
$9.99 $49.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$9.99 $49.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • In-depth coverage of NVIDIA’s AI infrastructure and technology stack
  • Hands-on experience with GPU-accelerated AI workflows and ML Ops tools
  • Preparation for the NCA-AIIO certification exam with practical, real-world examples

Description

Mastering AI infrastructure is crucial for optimizing performance and scaling AI projects. This course covers the evolution of AI, its applications across industries, and the critical technologies behind NVIDIA’s AI stack. You’ll explore GPUs, DPUs, and network fabrics in AI-centric data centers, understanding how each component plays a role in creating efficient AI systems. Dive deep into NVIDIA hardware like the DGX platform, DGX SuperPOD, and core libraries such as CUDA and NCCL. Learn the importance of GPU virtualization techniques like vGPU and MIG, and compare key network technologies like InfiniBand and Ethernet. By the end of the course, you will have hands-on experience with NVIDIA’s tools for optimizing AI infrastructure. The course concludes by exploring AI workflows, model training, job scheduling, container orchestration, and ML Ops, with a focus on NVIDIA’s tools for managing machine learning operations. You’ll leave with the expertise to optimize AI systems and be fully prepared to pass the NCA-AIIO certification exam, a key credential for AI professionals.

Who is this book for?

This course is ideal for professionals in AI infrastructure management, data center operations, machine learning, and AI system optimization. It's perfect for technical specialists eager to enhance their skills in GPU-accelerated AI technologies and ML Ops. A basic understanding of AI, machine learning, and data centers is helpful but not required, with a strong interest in NVIDIA technologies and GPU computing enhancing the learning experience.

What you will learn

  • Understand AI, ML, DL, and Gen AI concepts
  • Analyze and design AI-centric data center infrastructure
  • Optimize GPU and DPU usage for AI workloads
  • Implement GPU virtualization with vGPU and MIG
  • Manage AI workflows using NVIDIA tools like Kubernetes
  • Prepare for and pass the NCA-AIIO certification exam

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Jan 06, 2026
Publication date : Jan 05, 2026
Length: 4hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781807425814

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Product Details

Last updated date : Jan 06, 2026
Publication date : Jan 05, 2026
Length: 4hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781807425814

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