NVIDIA is offering multiple online courses; Know more here

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NVIDIA is offering multiple online courses; Know more here
The company said on its page, "Whether you’re an individual looking for self-paced training or an organization wanting to bring new skills to your workforce, the NVIDIA Deep Learning Institute (DLI) can help."

An American multinational corporation and technology company, NVIDIA is offering multiple online courses including Self-Paced Training (free courses) like An Even Easier Introduction to CUDA, Assemble a Simple Robot in Isaac Sim, and more.

The company said on its page, “Whether you’re an individual looking for self-paced training or an organization wanting to bring new skills to your workforce, the NVIDIA Deep Learning Institute (DLI) can help.”

“Learn how to set up an end-to-end project in eight hours or how to apply a specific technology or development technique in two hours—anytime, anywhere, with just your computer and an internet connection. Select courses offer Select courses offer a certificate of competency to support career growth”, it added.

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It further said, “Learn anytime, anywhere, with just a computer and an internet connection.”

Why Choose NVIDIA for Self-Paced Training?

  1. Access to Technical Expertise: Learn from technical industry experts and instructors who are passionate about developing curriculum around the latest technology trends.
  2. Industry-Standard Tools and Frameworks: Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.
  3. Applications Across Industries: Learn to build deep learning, accelerated computing, and accelerated data science applications for industries, such as healthcare, robotics, manufacturing, and more.
  4. Reduce Time to Production: Build production-quality solutions with the same DLI base environment containers used in the courses, available from the NVIDIA NGC™ catalog.
  5. Earn Certificates: Earn an NVIDIA Deep Learning Institute certificate in select courses to demonstrate subject matter competency and support professional career growth.
  6. GPU-Accelerated Servers in the Cloud: Access fully configured, GPU-accelerated servers in the cloud to complete hands-on exercises included in the training.
  7. To know more and apply for the course click here.

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