Register now for instructor-led workshops from the NVIDIA Deep Learning Institute at GTC.
Overview
The article discusses hands-on training opportunities in AI, data science, and accelerated computing available at the NVIDIA GTC conference. It highlights various workshops offered by the NVIDIA Deep Learning Institute, focusing on GPU-accelerated applications and providing interactive learning experiences.
What You'll Learn
1
How to create GPU accelerated applications in AI and data science
2
Why hands-on training is essential for mastering accelerated computing techniques
3
How to scale CUDA C++ applications to multiple nodes
Key Questions Answered
What workshops are available at the NVIDIA GTC conference?
The NVIDIA GTC conference offers various workshops including 'Fundamentals of Deep Learning', 'Building Transformer-Based Natural Language Processing Applications', and 'Fundamentals of Accelerated Computing with CUDA C/C++'. These workshops are designed to provide hands-on experience with GPU-accelerated applications.
How can attendees participate in the training workshops?
Attendees can register for a free GTC Conference Pass and then log into the attendee portal to select their desired workshops. Full-day workshops are available for $149, providing access to a GPU-accelerated server in the cloud.
What languages are the workshops offered in?
Several workshops at the NVIDIA GTC conference will be available in Korean, Japanese, and Simplified Chinese, allowing attendees to participate in their respective time zones.
Technologies & Tools
Programming Language
Cuda C/C++
Used for developing GPU-accelerated applications.
Concept
AI/ML
Focus of the training workshops offered.
Key Actionable Insights
1Consider registering for the NVIDIA GTC conference workshops to enhance your skills in AI and data science.These workshops provide practical, hands-on experience with GPU acceleration, which is crucial for developing cutting-edge applications in today's data-driven landscape.
2Take advantage of the opportunity to earn a certificate of subject matter competency by participating in full-day workshops.This certification can enhance your professional credentials and demonstrate your expertise in accelerated computing to potential employers.
3Explore the newly created course on scaling CUDA C++ applications to multiple nodes.This course is particularly relevant for developers looking to optimize their applications for performance across distributed systems.
Related Concepts
GPU Acceleration
Deep Learning
Data Science
Nvidia Deep Learning Institute