Packt

Master NVIDIA AI Infrastructure & Pass NCA-AIIO

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Packt

Master NVIDIA AI Infrastructure & Pass NCA-AIIO

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand AI, ML, DL, and Gen AI concepts

  • Analyze and design AI-centric data center infrastructure

  • Prepare for and pass the NCA-AIIO certification exam

Details to know

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Recently updated!

August 2026

Assessments

6 assignments

Taught in English

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There are 6 modules in this course

This module provides an overview of the NVIDIA AI Infrastructure course, introducing key concepts and objectives that set the foundation for understanding AI systems and their applications.

What's included

1 video

This module provides an in-depth look at NVIDIA's AI certification programs, covering the different types of certifications, their target audiences, and the key topics and skills assessed in the AI Infrastructure and Operations exam. Learners will gain insights into how these certifications can enhance their professional credibility and technical expertise in AI.

What's included

2 videos1 assignment

This module provides an overview of the key drivers behind AI's evolution, explores its practical applications across industries, and clarifies the distinctions between AI, machine learning, deep learning, and generative AI. It also introduces the transformer model and its impact on modern AI systems.

What's included

5 videos1 assignment

This module provides an in-depth exploration of the infrastructure and technologies that power AI-centric data centers. Learners will gain a clear understanding of key elements such as compute power, networking, storage, and energy efficiency. It also covers the comparative roles of different hardware components and deployment strategies for AI workloads.

What's included

13 videos1 assignment

This module provides a comprehensive overview of the NVIDIA technology stack, covering hardware, software, and networking solutions for AI infrastructure. Learners will gain insight into GPU architecture, data movement technologies, virtualization, and management tools that support AI and ML workloads.

What's included

41 videos1 assignment

This module provides a comprehensive overview of AI workflows, covering key stages like data collection, model training, and deployment. It also explores popular ML frameworks, NVIDIA's role in AI, and the importance of ML Ops in managing and scaling AI systems. Learners will gain practical insights into tools like Slurm and Kubernetes and how they support efficient AI operations.

What's included

10 videos2 assignments

Instructor

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