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DTSTAMP:20250522T212945Z
LOCATION:Room 207
DTSTART;TZID=America/Denver:20240729T101500
DTEND;TZID=America/Denver:20240729T104500
UID:siggraph_SIGGRAPH 2024_sess526_eduday_107@linklings.com
SUMMARY:Preparing Students for AI and Accelerated Data Science: NVIDIA Tea
 ching Kits and University Ambassador Program
DESCRIPTION:Will Ramey (NVIDIA)\n\nUniversities are at the forefront of nu
 rturing the next generation in the emerging technologies of AI, accelerate
 d data science, robotics, and more. \n \nKeeping up with the latest advanc
 es in these fields requires significant time for many educators, so the NV
 IDIA Deep Learning Institute (DLI) provides complete Teaching Kits for ter
 m-length courses and supports University Ambassadors who want to deliver w
 orld-class workshops in their academic community.\n \nDLI Teaching Kits ma
 ke it easy for instructors to incorporate AI and GPU computing in coursewo
 rk with free teaching materials that bridge academic theory with real-worl
 d application to empower next-generation innovators with critical computin
 g skills. Co-developed with leading university faculty, DLI Teaching Kits 
 provide full curriculum including teaching content, assessments, tests, an
 d answer keys as well as access to hands-on lab assignments hosted in the 
 DLI cloud.\n \nThe DLI University Ambassador Program provides educators th
 e opportunity to get certified to teach DLI workshops, at no cost, in your
  academic community. DLI workshop topics cover fundamentals of deep learni
 ng, accelerated computing, and accelerated data science as well as more ad
 vanced workshops on Generative AI, Large Language Models (LLMs), NLP,  and
  imaging analysis. Select workshops offer a DLI Certificate to demonstrate
  subject matter competency and support career growth. \n \nJoin us to lear
 n more about free Teaching Kits and the University Ambassador program supp
 orted by the NVIDIA Deep Learning Institute (DLI).\n\nInterest Area: Resea
 rch & Education\n\nRecording: Recorded, Not Livestreamed\n\nKeyword: AI, C
 omputer Vision, Education, Machine Learning, Robotics\n\nRegistration Cate
 gory: Full Conference, Full Conference Supporter, Virtual Access, Experien
 ce, Exhibitor Full Conference, Exhibitor Experience, Monday\n\n
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