NVIDIA Deep Learning Institute- AI-Based Cybersecurity Tool Training

NVIDIA is committed to closing the cybersecurity skills and talent gap in the European Union. We pledge to offer free trainings/ webinars to 10,000 EU citizens by end of December 2026.

Our pledge

Example from the current pledge description Cybersecurity is quickly evolving due to the volume of data involved and the increasingly distributed computing environment. To address these needs, NVIDIA developed Morpheus, an open application framework enabling cybersecurity developers to create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. Morpheus brings a new level of information security to the data center, cloud, and edge, by using AI to identify, capture, and act on threats and anomalies that were previously impossible to identify.

Our initiative

Title: Training ICT Professionals in Advanced Skills - Deep Learning, Data Science, and Accelerated Computing

Description: For the second year in a row GPU Technology Conference featured a recorded three-hour Cybersecurity Developer Day. In 2023 the session included hands-on experience in developing and deploying a digital fingerprinting AI workflow that enables 100 percent data visibility and drastically reduces the time to detect threats. In 2024 it was dedicated to using large language models, generative AI, retrieval augmented generation (RAG), and machine learning techniques to strengthen your cybersecurity posture dramatically. In connection with these webinars, NVIDIA's Deep Learning Institute offers a free training course Digital Fingerprinting with Morpheus. This free tutorial includes access to the required GPU computing resources to implement cybersecurity solutions that perform on a scale never before possible.

Target: 10,000 EU Citizens 
Location: online
Language: English
Cost: Free
Link to the initiative and Link to the self-paced course

NVIDIA is dedicated to reviewing and updating the status of this pledge every six months.

Background

Cybersecurity is quickly evolving due to the volume of data involved and the increasingly distributed computing environment. To address this, today’s cyber experts need not just data science skills but also AI-based cyber tools. More specifically:

• The exponential growth of data volume over the last several years has created the need for powerful analytics and a significant demand for professionals who can manage and make use of such a large amount of valuable data.
• The attack surface for cyber criminals has expanded as enterprises become more distributed with the hybrid cloud, edge computing, and remote workers.
• To keep up with demand while staying secure, enterprises need to accelerate data and security throughput by distributing the processing closer to the edge.
• A shortage of capable data scientists and cyber professionals created the demand for cyber automation tools and solution to be able to detect cyber threats and attacks in real-time.