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Unprecedented Growth in AI Sparks Demand for New Training Resources, The artificial intelligence (AI) landscape has experienced explosive growth, driving the need for enhanced training and educational resources for both students and industry professionals that talked about in NVIDIA Webinar.
NVIDIA Webinar: Accelerate Your Career in AI
NVIDIA recently hosted an on-demand webinar titled “Essential Training and Tips to Accelerate Your Career in AI,” featuring a panel of industry experts discussing strategies for career growth and learning in AI and advanced technologies. Over 1,800 attendees participated, gaining valuable insights into kick-starting their AI careers and leveraging NVIDIA’s cutting-edge technologies and resources to boost their professional development.
Expanding Opportunities in AI
AI’s transformative impact spans nearly every industry, opening new career avenues for professionals from diverse backgrounds. Lauren Silveira, University Recruiting Program Manager at NVIDIA, encouraged attendees to apply their unique skills and experiences to the AI field. “You don’t have to work directly in AI to impact the industry,” Silveira noted. “I knew I wouldn’t be a doctor or engineer, but I could create opportunities for those pursuing those dreams.”
Kevin McFall, Principal Instructor at the NVIDIA Deep Learning Institute, advised those feeling overwhelmed by the vast AI landscape to leverage existing resources. “Don’t try to do it all by yourself,” McFall said. “The best skill you can have is the ability to integrate pieces of code and inspiration from various resources.”
Leveraging NVIDIA’s Developer Resources
Panelists emphasized the importance of utilizing available tools and resources to enhance capabilities. Through the NVIDIA Developer Program, individuals can access a wide range of free software development kits, community resources, and specialized courses in areas like robotics, CUDA, and OpenUSD. Additionally, they can explore the CUDA code sample library and specialized guides such as “A Simple Guide to Deploying Generative AI With NVIDIA NIM.”
The Power of Networking
Staying current in the fast-evolving tech industry requires more than just education and certifications. Sabrina Koumoin, Senior Software Engineer at NVIDIA, highlighted the importance of networking. By sharing their learning journeys and projects on platforms like LinkedIn, individuals can connect with like-minded peers and mentors.
Koumoin, a self-taught coder, also advocates for accessibility in tech education. She has hosted multiple coding bootcamps to help newcomers break into the industry. “It’s a way to show that learning technical skills can be engaging, not intimidating,” she said.
David Ajoku, Founder and CEO of Demystifyd and Aware.ai, underscored the significance of using LinkedIn to build connections and showcase achievements. He suggested a three-step strategy to enhance one’s LinkedIn presence:
- Identify a company you’re interested in and understand what attracts you to it.
- Conduct thorough research on the company’s activities, mission, and goals.
- Boldly share your career journey and interests through a series of posts.
Future Skills for AI Professionals
When asked about the future of AI and essential skills for staying relevant in the Webinar, Louis Stewart, Head of Strategic Initiatives at NVIDIA, emphasized the importance of crafting a personal narrative. “Be intentional and purposeful — have an end in mind,” he advised. “That’s how you connect with future potential companies and people.”
Comprehensive Learning Programs by NVIDIA
NVIDIA offers an array of programs and resources to equip the next generation of AI professionals. The AI Learning Essentials program provides individuals with the knowledge, skills, and certifications needed to excel in AI careers. It includes free self-paced introductory courses and webinars on topics like generative AI, retrieval-augmented generation (RAG), and CUDA.
The NVIDIA Deep Learning Institute (DLI) offers diverse resources, including learning materials, self-paced and live training, and educator programs covering AI, accelerated computing, data science, and graphics simulation. DLI also provides comprehensive training for generative AI, RAG, NVIDIA NIM inference microservices, and large language models, as well as certifications to help learners showcase their expertise.
Conclusion
As AI continues to revolutionize industries, the demand for skilled professionals grows. NVIDIA’s comprehensive training and networking resources are designed to help individuals navigate and excel in this dynamic field, ensuring they stay ahead of the curve in AI innovation.
