NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
The NVIDIA Deep Learning Institute offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs—giving individuals, teams, organizations, educators, and students what they need to advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.
Coursera
Embark on a comprehensive journey into the world of AI within the data center with our Introduction to AI in the Data Center course. Gain insights into how artificial intelligence is reshaping compute power, enhancing tools, and transforming algorithms to empower businesses and their teams.
Coursera
Embark on an enlightening journey into the world of networking with our beginner-friendly 'Introduction to Networking' course. Designed for those new to the field, this course breaks down complex concepts into digestible modules that cover essential topics such as TCP/IP protocols, Ethernet networks, and data center fundamentals. Whether you're a student, professional, or someone curious about how networks work, this course will provide you with a strong base of knowledge to build upon.
Coursera
Dive into the world of advanced networking with our Fundamentals of RDMA Programming Course. Discover how Remote Direct Memory Access (RDMA) can revolutionize your understanding of data center operations and supercomputing capabilities. This course will guide you through the intricacies of RDMA, enabling direct memory access between servers without CPU intervention, thereby enhancing performance and efficiency.
Coursera
Dive into practical machine learning with our expert-led course. Gain proficiency in deploying scalable ML models on AWS's powerful platform, leveraging NVIDIA GPUs for faster results. Perfect for practitioners looking to streamline their workflows and advance their careers in data science.