NVIDIA has introduced a range of self-paced courses and resources to support career development in AI and data science, as highlighted in a recent webinar featuring industry experts discussing pathways into AI careers.
In response to the unprecedented growth in AI, NVIDIA has unveiled a comprehensive suite of training and education resources aimed at students and industry professionals seeking to advance their careers in AI and data science.
The company recently hosted a webinar, "Essential Training and Tips to Accelerate Your Career in AI," which drew over 1,800 attendees and featured insights from industry experts on entering and growing in the AI field.
Lauren Silveira, a university recruiting program manager at NVIDIA, encouraged professionals from diverse backgrounds to apply their unique experiences to AI. Kevin McFall, a principal instructor for the NVIDIA Deep Learning Institute, advised leveraging existing resources and code samples rather than building everything from scratch.
Sabrina Koumoin, a senior software engineer at NVIDIA, emphasised the importance of networking and sharing personal learning journeys on platforms like LinkedIn. David Ajoku, founder and CEO at Demystifyd and Aware.ai, outlined a strategy for enhancing LinkedIn presence to stand out in the job market.
NVIDIA's new offerings include AI Learning Essentials, providing free access to self-paced introductory courses and webinars on topics such as generative AI and CUDA. The NVIDIA Deep Learning Institute (DLI) offers comprehensive resources including learning materials, self-paced and live training, and educator programmes. Additionally, NVIDIA now offers certifications in generative AI LLMs and generative AI multimodal to help learners showcase their expertise.
As AI continues to reshape industries, NVIDIA's initiative in providing accessible, comprehensive training resources demonstrates the company's commitment to fostering the next generation of AI professionals. These self-paced courses and certifications offer valuable pathways for individuals looking to enter or advance in the rapidly evolving field of AI and data science.