Current
Intermediate
Anomaly Detection in Network Traffic with AI
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.5/10
Duration
8 hours instructor-led
Classes
20
Apply deep learning to cybersecurity. Detect network anomalies and threats using GPU-accelerated AI on streaming data.
What you'll get
Detect network anomalies with deep learning
Process streaming network data with GPUs
Build threat detection models
Deploy cybersecurity AI systems
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python and networking basics
Pricing
Contact for pricing
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as Cybersecurity Analyst, Data Scientist, or AI Security Engineer. It opens pathways for advanced certifications like Certified Information Systems Security Professional (CISSP) and qualifications in AI/ML, enhancing your attractiveness to employers in tech and security fields.
Skills Value: The skills learned enable you to address pressing security threats and cut down response times to anomalies, making you invaluable in industries like finance and healthcare, where AI expertise commands salaries 20-30% higher than average for cybersecurity professionals.
Cybersecurity
Anomaly Detection
Network Security
GPU
AI