NVIDIA
Developers
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)
- Computer Vision for Industrial Inspection (CVII)
- Building AI-Based Cybersecurity Pipelines (BABCP)
Generative AI and Large Language Models
- Building Agentic AI Applications with Large Language Models (BAALLM)
- Building AI Agents with Multimodal Models (BAAMM)
- Getting Started with AI on Jetson Nano (GSJN)
- Building LLM Applications with Prompt Engineering (BLAPE)
- Generative AI with Diffusion Models (GAIDM)
- Building RAG Agents with LLMs (BRAL)
- Efficient Large Language Model (LLM) Customization (ELLMC)
- Rapid Application Development Using Large Language Models (RADLLM)