New NVIDIA Certifications Expand Professionals’ Credentials in AI Infrastructure and Operations

As generative AI continues to grow, implementing and managing the right infrastructure becomes even more critical to ensure the secure and efficient development and deployment of AI-based solutions.

To meet these needs, NVIDIA has introduced two professional-level certifications that offer structured paths for infrastructure and operations practitioners to enhance and validate the skills needed to work effectively with advanced AI technologies.

The certification exams and recommended training to prepare for them are designed for network and system administrators, DevOps and MLOps engineers, and others who need to understand AI infrastructure and operations.

NVIDIA’s certification program equips professionals with skills in areas such as AI infrastructure, deep learning and accelerated computing to enhance their career prospects and give them a competitive edge in these high-demand fields.

Developed in collaboration with industry experts, the program features relevant content that emphasizes practical application alongside theoretical knowledge.

The NVIDIA-Certified Professional: AI Infrastructure certification is designed for practitioners seeking to showcase advanced skills in deploying AI infrastructure. Candidates must demonstrate expertise in GPU and DPU installation, hardware validation and system optimization for both AI and HPC workloads. The exam also tests proficiency in managing physical layers, configuring MIG, deploying the NVIDIA BlueField operating system, and integrating NVIDIA’s cloud-native stack with Docker and NVIDIA NGC.

To prepare for this professional-level certification, candidates are encouraged to attend the AI Infrastructure Professional Workshop. This hands-on training covers critical AI data center technologies, including compute platforms, GPU operations, networking, storage solutions and BlueField DPUs. The workshop is recommended for professionals aiming to elevate their AI infrastructure expertise.

The NVIDIA-Certified Professional: AI Operations certification is tailored for individuals seeking proficiency in managing and optimizing AI operations. The exam tests expertise in managing AI data centers, including the use of Kubernetes, Slurm, MIG, BCM, NGC containers, storage configuration and DPU services.

To prepare for this professional-level certification, candidates are encouraged to attend the AI Operations Professional Workshop, where they will gain hands-on experience in managing AI data centers, including compute platforms, networking, storage and GPU virtualization. The workshop also provides practical experience with NVIDIA AI software and solutions, including NGC containers and the NVIDIA AI Enterprise software suite, making it ideal for professionals looking to deepen their AI operations expertise.

Both of these professional-level certifications build upon the foundational knowledge covered in the NVIDIA-Certified Associate: AI Infrastructure and Operations certification.

Additional NVIDIA certifications include:

Saleh Hassan, an embedded software engineer at Two Six Technologies, successfully completed three NVIDIA certification exams at the NVIDIA AI Summit in Washington, D.C., earlier this year.

“The knowledge I gained has definitely made me a better developer when it comes to integrating AI,” said Hassan, who encourages others to pursue certifications as a key milestone for advancing their AI careers.

Saleh Hassan showing off one of his NVIDIA certifications.

All NVIDIA certifications are part of a comprehensive learning path that offers foundational courses, advanced training and hands-on labs to thoroughly prepare candidates for real-world applications.

The certifications support individual career growth and organizations can use them to enhance workforce capabilities.

Explore the options on the NVIDIA Certification portal and sign up for NVIDIA’s monthly newsletter to stay updated on the latest offerings.

Blog Article: Here

  • Related Posts

    Nintendo Switch 2 Leveled Up With NVIDIA AI-Powered DLSS and 4K Gaming

    The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, APIs
    Read Article

    NVIDIA Showcases Real-Time AI and Intelligent Media Workflows at NAB

    Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation.  At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues
    Read Article

    Leave a Reply

    Your email address will not be published. Required fields are marked *

    You Missed

    Vibe coding with GitHub Copilot: Agent mode and MCP support rolling out to all VS Code users

    Vibe coding with GitHub Copilot: Agent mode and MCP support rolling out to all VS Code users

    Say Hello to Your New Colleague, the AI Agent

    Say Hello to Your New Colleague, the AI Agent
    Your AI Companion

    The latest AI news we announced in March

    The latest AI news we announced in March

    Start building with Gemini 2.5 Pro.

    Start building with Gemini 2.5 Pro.

    How Enterprise General Intelligence (EGI) Will Form a New Business Imperative

    How Enterprise General Intelligence (EGI) Will Form a New Business Imperative