AI+ Security Expert™

  • Price 279 EUR + VAT
  • E-learning Start any time
  • Duration 40 hours of content, self-paced
  • Language English
  • Topic AI Security

How you can take it

  • E-learning Start any time · 279 EUR + VAT Order
  • Open course Not available in this format
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

Prerequisites

Interest in AI technologies, basic computer science knowledge, curiosity to learn, and awareness of AI ethics and data privacy.

Audience

Who is it for

Cybersecurity Professionals: Professionals who want to stay updated on the latest AI-driven security tools, technologies, and techniques to strengthen cybersecurity practices.

IT Professionals and System Administrators: Those who want to use AI capabilities to detect, analyze, and respond to security threats more effectively and efficiently.

Cloud Architects and Engineers: Professionals who want to integrate AI-powered security solutions into cloud architectures and enhance the protection of cloud environments.

Risk Management Specialists: Those who want to apply AI-driven approaches to identify, assess, and mitigate cybersecurity risks.

Business Leaders and Decision Makers: Professionals who want to understand the role of AI in cybersecurity and make informed decisions about security investments and strategies.

Software Developers: Developers who want to understand AI integration in security tools, applications, and secure software development practices.

Security Consultants and Advisors: Professionals who want to gain advanced knowledge of AI technologies to provide strategic cybersecurity guidance and recommendations.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

Module 1: AI Security Context, Scope and Opportunities
  • 1.1 AI Security Scope and Enterprise Context
  • 1.2 AI Security Roles and Responsibilities
  • 1.3 AI Security Use Cases and Opportunities
  • 1.4 Use Cases
  • 1.5 Case Studies
Module 2: AI Application Architecture and Threat Modelling
  • 2.1 AI Application Components
  • 2.2 Assets, Trust Boundaries and Data Flows
  • 2.3 Modern Cybersecurity Architecture
  • 2.4 Threat Modelling for AI Applications
  • 2.5 Use Cases
  • 2.6 Case Studies
Module 3: Applied Python Automation for AI Security Evidence
  • 3.1 Python for AI Security Tasks
  • 3.2 Python Libraries for Security Engineering
  • 3.3 Working with Security Data
  • 3.4 Cybersecurity Data Analytics
  • 3.5 Automation Patterns and Safe Scripting
  • 3.6 Use Cases
  • 3.7 Case Studies
Module 4: GenAI Application Security Controls
  • 4.1 GenAI Application Components
  • 4.2 Secure Design Patterns
  • 4.3 Secure AI SDLC
  • 4.4 Use Cases
  • 4.5 Case Studies
Module 5: Prompt Injection, LLM Risk Testing, and Adversarial Attacks
  • 5.1 Prompt Injection Techniques
  • 5.2 Sensitive Information Disclosure Risks
  • 5.3 Unsafe Output Handling
  • 5.4 Use Cases
  • 5.5 Case Studies
Module 6: RAG and Knowledge System Security
  • 6.1 RAG System Architecture
  • 6.2 RAG-Specific Risks
  • 6.3 RAG Controls and Monitoring
  • 6.4 Use Cases
  • 6.5 Case Studies
Module 7: AI Data, Model, ML Pipeline and Detection Security
  • 7.1 AI Data Security
  • 7.2 Model and Artifact Security
  • 7.3 ML Pipeline and MLSecOps Controls
  • 7.4 AI-Based Detection and Model Monitoring
  • 7.5 Adversarial ML Risks
  • 7.6 Use Cases
  • 7.7 Case Studies
Module 8: Secure AI Deployment: Cloud, API and Identity
  • 8.1 AI Deployment Patterns
  • 8.2 Identity and Secret Controls
  • 8.3 Abuse Prevention and Cloud Controls
  • 8.4 Use Cases
  • 8.5 Case Studies
Module 9: AI Security Monitoring and Incident Response
  • 9.1 AI Security Telemetry
  • 9.2 Detection Engineering for AI Threats
  • 9.3 AI Incident Response
  • 9.4 Use Cases
  • 9.5 Case Studies
Module 10: AI Governance, Privacy and Compliance
  • 10.1 AI Governance Foundations
  • 10.2 Privacy and Data Protection
  • 10.3 Assurance Artifacts and Evidence
  • 10.4 Use Cases
  • 10.5 Case Studies
Module 11: Advanced Adversarial Testing, Red Teaming
  • 11.1 Red Teaming Methodologies for AI Systems
  • 11.2 Advanced Threat Vectors
  • 11.3 Red Team Reporting
  • 11.4 Use Cases
  • 11.5 Case Studies
Module 12: Capstone Project
  • 12.1 Proactive Threat Intelligence Dashboard
  • 12.2 AI-Driven Cybersecurity Solution Development
  • 12.3 AI-Powered SOC Automation
  • 12.4 LLM Security Monitoring and Defense System
Optional Module: AI Agents Security Expert
  • 1.1 What Are AI Agents?
  • 1.2 Key Capabilities of AI Agents in Advanced Cybersecurity
  • 1.3 Applications and Trends for AI Agents in Advanced Cybersecurity
  • 1.4 How Does an AI Agent Work?
  • 1.5 Core Characteristics of AI Agents
  • 1.6 Types of AI Agents

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

Private training for your team?

Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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