Developer Resources for the Public Sector

Application of AI for Predictive Maintenance

In this online course, you’ll learn how to:

• Use AI-based predictive maintenance to prevent failures and unplanned downtimes
• Identify key challenges around detecting anomalies that can lead to costly breakdowns
• Use time-series data to predict outcomes with XGBoost-based machine learning classification models
• Use an long short-term memory (LSTM)-based model to predict equipment failure
• Use anomaly detection with time-series autoencoders to predict failures when limited failure-example data is available

Applications of AI for Anomaly Detection

In this online course, you'll learn how to:

• Prepare data and build, train, and evaluate models using XGBoost, autoencoders, and generative adversarial networks (GANs)
• Detect anomalies in datasets with both labeled and unlabeled data
• Classify anomalies into multiple categories regardless of whether the original data was labeled

Building Transformer-Based Natural Language Processing Applications

In this online course, you’ll learn how to:

• Understand how text embeddings have rapidly evolved in NLP tasks such as Word2Vec, recurrent neural network (RNN)-based embeddings, and Transformers
• See how Transformer architecture features, especially self-attention, are used to create language models without RNNs
• Use self-supervision to improve the Transformer architecture in BERT, Megatron, and other variants for superior NLP results
• Leverage pretrained, modern NLP models to solve multiple tasks such as text classification, named-entity recognition (NER), and question answering
• Manage inference challenges and deploy refined models for live applications

Fundamentals of Accelerated Data Science

In this online course, you'll learn how to:

• Implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow data frames
• Apply a broad spectrum of GPU-accelerated machine learning tasks using XGBoost and a variety of cuML algorithms
• Execute GPU-accelerated graph analysis with cuGraph, achieving massive-scale analytics in small amounts of time
• Rapidly achieve massive-scale graph analytics using cuGraph routines

NVIDIA Hopper Architecture in Depth

The new NVIDIA H100 Tensor Core GPU based on the new NVIDIA Hopper? GPU architecture is now available. This is the ninth-generation data center GPU designed to deliver an order-of-magnitude performance leap for large-scale AI and HPC over the prior-generation NVIDIA A100 Tensor Core GPU. Take a look inside the GPU and explore the groundbreaking features of the Hopper architecture.

New Releases and Capabilities for NVIDIA Omniverse

Learn about the new NVIDIA Omniverse Connectors and asset libraries, along with updated apps and features. Now, you can build, extend, and connect 3D tools and platforms to the Omniverse ecosystem easier than ever before.

Expanding Hybrid-Cloud Support in Virtualized Data Centers

Get started with NVIDIA AI Enterprise on LaunchPad for free and see how NVIDIA AI Enterprise 1.1 is providing production support for container orchestration and Kubernetes cluster management using VMware vSphere with Tanzu 7.0 update 3c. The software suite delivers AI and machine learning workloads to every business in virtual machines, containers, or Kubernetes.

Enhancing Zero-Trust Security with Data

See how leveraging zero-trust principles doesn’t have to mean consigning users to a world where we spend as much time trying to access digital resources as using them. Get the scoop on zero trust and discuss how a thoughtful cybersecurity team can structure a zero-trust system that keeps users and data safe, while maintaining a seamless user experience.