- Build deep learning, accelerated computing, and accelerated data science applications for industries such as autonomous vehicles, healthcare, manufacturing, media and entertainment, robotics, smart cities, and more.
- Gain real-world expertise through content designed in collaboration with industry leaders, such as the Children’s Hospital of Los Angeles, Mayo Clinic, PwC, and Uber.
- Access content anywhere, anytime with a fully configured, GPU-accelerated workstation in the cloud.
- Earn an NVIDIA DLI certificate to demonstrate subject matter competency and support career growth.
- Work with the most widely used, industry-standard software, tools, and frameworks.
Fundamentals of Accelerated Data Science with RAPIDS
- Experience with Python, ideally including pandas and NumPy.
- To gain experience with pandas, we suggest this pandas course on Kaggle.
- To gain experience with data science using Python, we suggest this machine learning course on Kaggle.
- To get experience accelerating data science workflows, we suggest the Accelerating Data Science Workflows with RAPIDS course with DLI.
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