New NVIDIA Certifications in AI Infrastructure and Operations

As generative AI continues to develop, implementing and managing the precise infrastructure turns into much more important to make sure the safe and environment friendly improvement and deployment of AI-based options.

To fulfill these wants, NVIDIA has launched two professional-level certifications that provide structured paths for infrastructure and operations practitioners to boost and validate the abilities wanted to work successfully with superior AI applied sciences.

The certification exams and really useful coaching to organize for them are designed for community and system directors, DevOps and MLOps engineers, and others who want to know AI infrastructure and operations.

NVIDIA’s certification program equips professionals with abilities in areas similar to AI infrastructure, deep studying and accelerated computing to boost their profession prospects and provides them a aggressive edge in these high-demand fields.

Developed in collaboration with trade specialists, this system options related content material that emphasizes sensible software alongside theoretical data.

The NVIDIA-Licensed Skilled: AI Infrastructure certification is designed for practitioners searching for to showcase superior abilities in deploying AI infrastructure. Candidates should show experience in GPU and DPU set up, {hardware} validation and system optimization for each AI and HPC workloads. The examination additionally checks proficiency in managing bodily layers, configuring MIG, deploying the NVIDIA BlueField working system, and integrating NVIDIA’s cloud-native stack with Docker and NVIDIA NGC.

To organize for this professional-level certification, candidates are inspired to attend the AI Infrastructure Skilled Workshop. This hands-on coaching covers important AI information middle applied sciences, together with compute platforms, GPU operations, networking, storage options and BlueField DPUs. The workshop is really useful for professionals aiming to raise their AI infrastructure experience.

The NVIDIA-Licensed Skilled: AI Operations certification is tailor-made for people searching for proficiency in managing and optimizing AI operations. The examination checks experience in managing AI information facilities, together with using Kubernetes, Slurm, MIG, BCM, NGC containers, storage configuration and DPU companies.

To organize for this professional-level certification, candidates are inspired to attend the AI Operations Skilled Workshop, the place they’ll achieve hands-on expertise in managing AI information facilities, together with compute platforms, networking, storage and GPU virtualization. The workshop additionally gives sensible expertise with NVIDIA AI software program and options, together with NGC containers and the NVIDIA AI Enterprise software program suite, making it very best for professionals trying to deepen their AI operations experience.

Each of those professional-level certifications construct upon the foundational data coated within the NVIDIA-Licensed Affiliate: AI Infrastructure and Operations certification.

Extra NVIDIA certifications embody:

Saleh Hassan, an embedded software program engineer at Two Six Applied sciences, efficiently accomplished three NVIDIA certification exams on the NVIDIA AI Summit in Washington, D.C., earlier this 12 months.

“The data I gained has positively made me a greater developer relating to integrating AI,” stated Hassan, who encourages others to pursue certifications as a key milestone for advancing their AI careers.

Saleh Hassan displaying off certainly one of his NVIDIA certifications.

All NVIDIA certifications are a part of a complete studying path that provides foundational programs, superior coaching and hands-on labs to totally put together candidates for real-world purposes.

The certifications assist particular person profession progress and organizations can use them to boost workforce capabilities.

Discover the choices on the NVIDIA Certification portal and join NVIDIA’s month-to-month publication to remain up to date on the most recent choices.