Sold by: SANS Institute
Deployed on AWS
Build custom AI-driven security solutions using practical data science and machine learning. Learn to apply ML algorithms to threat detection, malware classification, and anomaly detection problems without requiring a PhD in statistics.
Overview
Acquire practical data science and machine learning skills to build custom AI-driven security solutions. Transform threat detection through 30 hands-on labs covering everything from data acquisition to neural network deployment.
Data Science and AI are becoming primary weapons in the security arsenal. This course demystifies machine learning for security practitioners, teaching you to build and deploy models that solve real security problems.
Build ML-powered security tools:
Foundations
- Acquire and prepare security data
- Apply statistical analysis techniques
- Understand ML algorithm selection
- Evaluate model performance
Classification and Detection
- Build malware classifiers
- Detect anomalous behavior
- Classify network traffic
- Identify threat patterns
Advanced Techniques
- Deploy neural networks
- Apply deep learning to security
- Build production ML pipelines
- Integrate models with security tools
Hands-on labs build working ML solutions using real security datasets.
Earn GIAC GMLE certification (exam sold separately). 36 CPE credits across 6 intensive days.
Highlights
- Build ML-powered security tools: Malware classifiers, anomaly detectors, network traffic analysis, and threat pattern recognition using practical machine learning techniques.
- 30 hands-on labs: Data preparation, statistical analysis, classification algorithms, neural networks, deep learning, and production ML pipeline deployment.
- Prepares for GIAC GMLE certification. Built for security practitioners who want to apply data science and ML to real security problems. 6 days, 36 CPEs.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
SEC595 - Single User | Single user license for AI - SEC595: Applied Data Science & AI/ML for Cybersecurity | $8,780.00 |
Vendor refund policy
Refunds available within 30 days if course not accessed.
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Delivery details
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Support
Vendor support
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