NVIDIA Launches Game-Changing Certifications for AI Professionals
As the world of generative AI continues to expand at a breakneck pace, the need for robust infrastructure and skilled professionals to manage it has never been more critical. NVIDIA, a global leader in AI and computing technologies, has stepped up to address this demand by introducing two professional-level certifications. These certifications are designed to empower infrastructure and operations practitioners with the expertise needed to excel in the rapidly evolving AI landscape.
Why AI Infrastructure Matters
Generative AI is revolutionizing industries, from healthcare to entertainment, by enabling machines to create content, analyze data, and solve complex problems. However, the backbone of these advancements lies in the infrastructure that supports them. Without a secure, efficient, and scalable infrastructure, the potential of AI technologies cannot be fully realized. NVIDIA’s new certifications aim to bridge this gap by equipping professionals with the skills to build and manage cutting-edge AI systems.
Introducing NVIDIA’s Professional-Level Certifications
NVIDIA’s certification program is tailored for network and system administrators, DevOps and MLOps engineers, and other professionals who play a pivotal role in AI infrastructure and operations. The program focuses on practical skills and theoretical knowledge, ensuring that candidates are well-prepared to tackle real-world challenges.
The two new certifications are:
- NVIDIA-Certified Professional: AI Infrastructure
- NVIDIA-Certified Professional: AI Operations
NVIDIA-Certified Professional: AI Infrastructure
The NVIDIA-Certified Professional: AI Infrastructure certification is designed for professionals who want to demonstrate advanced skills in deploying and managing AI infrastructure. This certification tests candidates on a range of competencies, including:
- GPU and DPU installation
- Hardware validation
- System optimization for AI and high-performance computing (HPC) workloads
- Managing physical layers
- Configuring Multi-Instance GPU (MIG)
- Deploying the NVIDIA BlueField operating system
- Integrating NVIDIA’s cloud-native stack with Docker and NVIDIA NGC
To prepare for this certification, NVIDIA recommends attending the AI Infrastructure Professional Workshop. This hands-on training covers essential AI data center technologies, including compute platforms, GPU operations, networking, storage solutions, and BlueField DPUs. The workshop is an invaluable resource for professionals looking to elevate their expertise in AI infrastructure.
NVIDIA-Certified Professional: AI Operations
The NVIDIA-Certified Professional: AI Operations certification is tailored for individuals aiming to master the management and optimization of AI operations. This certification evaluates candidates on their ability to manage AI data centers effectively, with a focus on:
- Using Kubernetes and Slurm
- Configuring MIG and BCM
- Managing NGC containers
- Storage configuration
- Utilizing DPU services
To prepare for this certification, candidates are encouraged to participate in the AI Operations Professional Workshop. This workshop provides hands-on experience in managing AI data centers, including compute platforms, networking, storage, and GPU virtualization. Participants also gain practical knowledge of NVIDIA AI software and solutions, such as NGC containers and the NVIDIA AI Enterprise software suite.
Building on a Strong Foundation
Both of these professional-level certifications build upon the foundational knowledge covered in the NVIDIA-Certified Associate: AI Infrastructure and Operations certification. This foundational certification serves as a stepping stone for professionals looking to advance their careers in AI infrastructure and operations.
Success Stories: A Developer’s Perspective
Saleh Hassan, an embedded software engineer at Two Six Technologies, is a shining example of how NVIDIA’s certifications can transform careers. Hassan 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. He encourages others to pursue these certifications as a key milestone for advancing their AI careers.
A Comprehensive Learning Path
NVIDIA’s certification program is part of a comprehensive learning path that includes foundational courses, advanced training, and hands-on labs. This structured approach ensures that candidates are thoroughly prepared for real-world applications. The certifications not only support individual career growth but also help organizations enhance their workforce capabilities.
Explore Your Options
For those interested in taking their AI expertise to the next level, NVIDIA offers a range of certifications and training programs. Explore the options on the NVIDIA Certification portal and sign up for NVIDIA’s monthly newsletter to stay updated on the latest offerings.
Conclusion
As AI continues to reshape the world, the demand for skilled professionals in AI infrastructure and operations will only grow. NVIDIA’s new certifications provide a clear pathway for individuals to gain the expertise needed to thrive in this dynamic field. Whether you’re a seasoned professional or just starting your journey in AI, these certifications offer a valuable opportunity to enhance your skills and advance your career.
Originally Written by: NVIDIA Corporate Blog
