NVIDIA
Deep Learning
- Applications of AI for Anomaly Detection (AAAD)
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (DPHTDLM)
- Fundamentals of Deep Learning (FDL)
- Building Conversational AI Applications (BCAA)
- Applications of AI for Predictive Maintenance (AAPM)
- Model Parallelism: Building and Deploying Large Neural Networks (MPBDLNN)
- Building Transformer-Based Natural Language Processing Applications (BNLPA)
- Building AI-Based Cybersecurity Pipelines (BABCP)
- Computer Vision for Industrial Inspection (CVII)
Accelerated Computing
- Fundamentals of Accelerated Computing with CUDA Python (FACCP)
- Accelerating CUDA C++ Applications with Multiple GPUs (ACCAMG)
- Fundamentals of Accelerated Computing with OpenACC (FACO)
- Fundamentals of Accelerated Computing with CUDA C/C++ (FACCC)
- Scaling CUDA C++ Applications to Multiple Nodes (SCCAMN)