Nvidia-Certified Trainer | Advanced Programming Course (1 Week)

Job Description

URGENT Freelance Trainer Opportunity: NVIDIA-Certified Trainer for Advanced Programming Course (1 Week) We are seeking NVIDIA-certified trainer to deliver a week-long, in-depth classroom class room training session on advanced programming for NVIDIA DGX systems. The training will focus on the following key areas: Training Topics: Docker Containers : Introduction to the concept and practical use for model deployment and environment management. Model Training : Deep dive into model training techniques and workflows using NVIDIA DGX systems. GPU Memory Distribution & ONNX : Understanding GPU memory management and how ONNX facilitates cross-platform model deployment. TensorRT & Triton : Concepts behind TensorRT for model inference optimization, and using Triton for model serving and deployment. Hands-on Lab : Practical exercises on implementing TensorRT and Triton in real-world scenarios. Advanced Optimization Techniques : In-depth strategies for optimizing deep learning models on GPUs for performance improvements. Future Trends in GPU Computing : Exploration of the latest advancements and future directions in GPU-based computing, AI, and machine learning. Requirements: Must be an NVIDIA-certified trainer with proven expertise in advanced GPU programming. Availability to conduct a full one-week training course (5 days). Strong hands-on experience with NVIDIA DGX , Docker , TensorRT , Triton , and ONNX . Ability to deliver both conceptual learning and practical lab sessions effectively. If you have the required expertise and are available for this one-week on-site session engagement, please reach out with your credentials and relevant experience. Mail ID : Sapna.raturi@softelnetworks.com