NVIDIA introduces Generative AI Certification for Professionals

nVidia, the technology giant known for its graphics processing units (GPUs), is stepping into the realm of professional certification with its latest offering in generative AI. This move aims to bridge the skills gap and empower developers to fully leverage the potential of generative AI, a technology that is revolutionizing industries worldwide.

The new professional certification program, introduced by NVIDIA, provides developers, career professionals, and enthusiasts with the opportunity to validate and showcase their skills and expertise in generative AI. The program features two associate-level certifications that focus on proficiency in large language models and multimodal workflow skills.

In a recent statement, NVIDIA’s founder and CEO, Jensen Huang, emphasized the growing importance of generative AI in various sectors. “Generative AI has moved to center stage as governments, industries, and organizations everywhere look to harness its transformative capabilities,” he said.

To support individuals in preparing for the certification exam, NVIDIA will offer recommended training sessions at the upcoming GPU Technology Conference (GTC). GTC 2024, scheduled to take place in SAN Jose, California from March 18-21, marks the return of an in-person event after a five-year hiatus. With over 300,000 attendees expected to participate either in person or virtually, GTC 2024 promises to be a hub of knowledge-sharing and innovation.

The conference will feature an extensive lineup of 900 sessions and more than 300 exhibitors showcasing how organizations are leveraging NVIDIA platforms to achieve advancements in their respective industries. Attendees will have the opportunity to choose from 20 full-day, hands-on technical workshops, with many sessions available virtually in different time zones to cater to a global audience.

For those eager to enhance their skills further, NVIDIA is also offering a GTC Conference + Training package that includes access to over 40 complimentary onsite training labs.

With the launch of its generative AI certification program and the highly anticipated GTC 2024, NVIDIA aims to contribute to upskilling workforces, empowering professionals, and providing individuals with a competitive edge in the job market. As the demand for generative AI continues to grow, organizations across industries recognize the need to enhance their expertise in this transformative technology.

To learn more about the generative AI course and secure your spot at GTC 2024, visit the official GTC website and explore the provided links.

Background Information

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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SAN: A Storage Area Network (SAN) is a high-speed and specialized network architecture designed to facilitate the connection of storage devices, such as disk arrays and tape libraries, to servers. Unlike traditional network-attached storage (NAS), which is file-based, SAN operates at the block level, enabling direct access to storage resources. SANs are known for their performance, scalability, and flexibility, making them ideal for data-intensive applications, large enterprises, and environments requiring high availability. SANs typically employ Fibre Channel or iSCSI protocols to establish dedicated and fast communication paths between servers and storage devices. With features like centralized management, efficient data replication, and snapshot capabilities, SANs offer advanced data storage, protection, and management options. Overall, SAN technology has revolutionized data storage and management, enabling organizations to efficiently handle complex storage requirements and ensure reliable data access.

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