“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAAdvanced
Applications of AI for Anomaly Detection
Teaches anomaly detection using accelerated XGBoost, autoencoders, and GAN-based techniques on large datasets.
Duration
8 hours
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Deep LearningAI
Applications of AI for Anomaly Detection
RAPIDS, TensorFlow, Keras
NVIDIA
On this page
Ideal for
Data ScientistDeep LearningTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams applying AI to anomaly-heavy operational datasets.
Overview
Executive overview
Official NVIDIA DLI workshop covering supervised and unsupervised anomaly detection with accelerated ML and deep learning techniques.
Readiness
Prerequisites
- Experience with CNNs and Python.
Program Outcomes
Capabilities your teams will gain
Apply anomaly detection methods across large datasets
Use accelerated ML and deep learning models effectively
Curriculum
Curriculum roadmap
1
Supervised anomaly detection
2
Unsupervised anomaly detection
3
Deep-learning anomaly patterns
1Module 1
Build anomaly-detection solutions
+
Module 1
Build anomaly-detection solutions
Learn anomaly modeling patterns with accelerated ML and deep learning approaches.
- Supervised anomaly detection
- Unsupervised anomaly detection
- Deep-learning anomaly patterns
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryAdvanced practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds applied anomaly-detection capability for cybersecurity, operations, and monitoring scenarios.
- •Use your anomaly use case
- •Add operational deployment patterns
Credentials
Certification & official source
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
