AI+ Security Strategist™

Course code: NP551

The AI+ Security Strategist™ course offers an in-depth examination of how artificial intelligence intersects with modern cybersecurity practices, with a focus on advanced concepts essential to security engineering. Learners explore core principles of AI and machine learning as applied to security, covering areas such as threat detection, incident response, and the application of deep learning to security challenges. The curriculum also tackles adversarial AI, network and endpoint protection, and the engineering of secure AI systems. Additional topics span AI-driven approaches to cloud and container security, blockchain integration, identity and access management (IAM), IoT security, and physical security infrastructure. The course concludes with a hands-on capstone project in which learners design and build AI-powered security solutions, synthesizing skills developed throughout the program.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 40 hours en 285 EUR Register
G Upon request Self-paced 40 hours en 75 EUR Register
G Guaranteed course

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Prerequisites

  • Completion of AI+ Security Level 1™ and Level 2™
  • Intermediate to advanced Python proficiency, including hands-on experience with deep learning frameworks such as TensorFlow and PyTorch
  • Solid understanding of machine learning concepts, including deep learning architectures, adversarial AI techniques, and model training workflows
  • Advanced cybersecurity knowledge spanning threat detection, incident response, and network and endpoint security practices
  • Familiarity with AI applications in identity and access management (IAM), IoT security, and physical security systems
  • Working knowledge of cloud security principles, containerization technologies, and blockchain fundamentals
  • Advanced Linux command-line skills and practical experience using security tools in Linux-based environments

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