NVIDIA Announces New AI Infrastructure and Operations Training and Certification

NVIDIA has launched a new self-paced course titled AI Infrastructure and Operations Fundamentals, aimed at enterprise professionals seeking to enhance their expertise in the infrastructure and operational aspects of AI and accelerated computing. This initiative is part of NVIDIA's broader effort to equip IT professionals with the necessary skills to manage and deploy scalable AI solutions, according to the NVIDIA Blog.

Course Overview

The course is structured into three comprehensive modules, each designed to cover different facets of AI infrastructure and operations.

Introduction to AI

• Understanding AI applications across various sectors, driving innovation and efficiency.
• Tracing the evolution of AI from machine learning to advanced deep learning and generative AI.
• Exploring the role of GPUs in revolutionizing AI by providing necessary computational power.
• Emphasizing the importance of a robust software stack for optimal performance.
• Examining the environments where AI workloads operate, including both on-premises and cloud solutions.

AI Infrastructure

• Learning about the hardware components that power AI, including advancements in compute platforms, networking, and storage.
• Exploring methods to reduce data center carbon footprints and energy usage.
• Understanding how reference architectures can serve as a foundation for effective AI designs.
• Assessing the benefits of transitioning from on-premises data centers to cloud-based solutions.

AI Operations

• Gaining insights into tools and techniques for effective infrastructure management and monitoring.
• Learning about orchestrating AI clusters and scheduling tasks to maximize performance and resource efficiency.

Certification: AI Infrastructure and Operations Associate

In conjunction with the course, NVIDIA is offering a new certification titled AI Infrastructure and Operations Associate. This entry-level credential validates the foundational concepts needed to adopt AI computing with NVIDIA solutions. The certification exam covers a range of topics including:

• Accelerated computing use cases.
• AI, machine learning, and deep learning principles.
• GPU architecture.
• NVIDIA’s software suite.
• Infrastructure and operational considerations for implementing NVIDIA solutions.

This new training and certification are designed to help professionals expand their skills, support AI projects, and advance their careers in the rapidly evolving field of AI. More information about the training and certification can be found on the NVIDIA Blog.