NVIDIA Deep Learning Lab

Introduction

The NVIDIA Deep Learning Lab (DLL) offers hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a certificate of competency to support professional growth. Get started with DLL through self-paced, online training for individuals, in-person workshops for teams, and downloadable course materials for university educators.

The NVIDIA Deep Learning Lab (DLL) trains developers, data scientists, and researchers on how to use deep learning and accelerated computing to solve real-world problems across a wide range of domains.

With access to GPU-accelerated workstations in the cloud, you’ll learn how to train, optimize, and deploy neural networks using the latest deep learning tools, frameworks, and SDKs. You’ll also learn how to assess, parallelize, optimize, and deploy GPU-accelerated computing applications. DLL offers training in two formats:


INSTRUCTOR-LED WORKSHOPS
In-person workshops teach you how to implement and deploy an end-to-end project in one day. Offered at customer sites, conferences, and universities, full-day workshops include hands-on training and lectures delivered by DLL-certified instructors. Workshops offer a certificate of competency upon completion of the built-in assessment.


ONLINE COURSES
Online, self-paced courses teach you how to implement and deploy an end-to-end project in eight hours or how to apply a specific technology or development technique in two hours. Online courses can be taken anytime, anywhere with a laptop and an internet connection. Most eight-hour courses offer a certificate of competency upon completion of the built-in assessment.

Laboratory configurations:

Hardware: NVIDIA DGX Station (Click here for more details)

DGX Server
DGX Server

 

 

 

 

 

 

Software: Caffe, DIGITS, TensorFlow, Keras, etc

Certifications:

  1. "Fundamentals of Deep Learning for Computer Vision"
     
  2. "Fundamentals of Accelerated Computing with CUDA Python"
     
  3. "Deep learning fundamentals"
     
  4. "Deep learning for digital content creation"
     
  5. "Deep learning for healthcare"
     
  6. "Deep learning for intelligent video analytics"
     
  7. "Accelerated computing courses"
     
  8. "Accelerated data science courses"

 

1. Fundamentals of Deep Learning for Computer Vision

Students Enrolled: 40

Students Certified: 35 - (Click here for list of certificated students)

 

2. Fundamentals of Accelerated Computing with CUDA Python

Students Enrolled: 29

Students Certified: 17 - (Click here for list of certificated students)

Events:

  1. Event 1 - Training program on "NVIDIA Deep Learning" (21/08/2019)
     
  2. Event 2 - Training program on "NVIDIA Deep Learning" (30/08/2019)
     
  3. Event 3 - Workshop on "NVIDIA Deep Learning Fundamentals for Computer Vision" (12/10/2019)