AI+ Security Level 3™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Advanced AI security methods are opening up new ways to make digital systems more resilient. Modern protection concepts combine analysis, automation, and strategic thinking to form a powerful foundation for high-quality cybersecurity.

Key topics

AI-supported risk analysis
Adaptive security strategies
Automated defense mechanisms
Zero-trust architectures
Security operations with predictive analytics

Prerequisite
Basic understanding of AI, cybersecurity, and technical security principles.

Target audience
IT, security, data, and compliance professionals who want to use AI to strengthen protection processes and build modern security structures.

Future-oriented security intelligence is created through precise models, clear methods, and technological foresight. Those who integrate AI sensibly can design robust digital spaces and strengthen sustainable protection capabilities.

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Course content

Fundamentals of AI and machine learning for security technology

Core concepts of AI and machine learning for security
Use cases for AI in cybersecurity
Development of AI pipelines for security
Challenges in applying AI in the security field

Machine learning for threat detection and response

Development of feature extraction for cybersecurity datasets
Supervised learning for threat classification
Unsupervised learning for anomaly detection
Development of real-time systems for threat detection

Deep learning for security applications

Convolutional neural networks (CNNs) for threat detection
Recursive neural networks (RNNs) and LSTMs for security
Autoencoders for anomaly detection
Adversarial deep learning in security

Adversarial AI in security

Introduction to adversarial AI attacks
Defense mechanisms against adversarial attacks
Adversarial testing and red teaming for AI systems
Development of robust AI systems against adversarial AI

AI in network security

AI-supported intrusion detection systems
AI for detecting distributed denial-of-service (DDoS) attacks
AI-based detection of network anomalies
Development of secure network architectures with AI

AI in endpoint security

AI for malware detection and classification
AI for endpoint detection and response (EDR)
AI-assisted threat hunting
Implementation of lightweight AI models for devices with limited resources

Secure AI system technology

Designing secure AI architectures
Cryptography in AI for security
Ensuring the explainability and transparency of models in the field of security
Performance optimization of AI security systems

AI for cloud and container security

AI for securing cloud environments
AI-driven container security
AI for securing serverless architectures
AI and DevSecOps

AI and blockchain for security

Fundamentals of integrating blockchain and AI
AI for fraud detection in blockchain
Smart contracts and AI security
AI-supported consensus algorithms

AI in identity and access management (IAM)

AI for analyzing user behavior in IAM
AI for multi-factor authentication (MFA)
AI for zero-trust architectures
AI for role-based access control (RBAC)

AI for physical security and IoT security

AI for smart city security
AI for industrial IoT security
AI for autonomous vehicle security
AI for smart home and consumer IoT security

Capstone Project – Development of AI Security Systems

Definition of the capstone project problem
Development of the AI solution
Deployment and monitoring of the AI system
Final capstone presentation and evaluation

Optional module: AI agents for security level 3

Understanding AI agents
Case studies
Practical exercises with AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What does AI+ Security mean at an expert level?

AI+ Security Level 3™ stands for in-depth knowledge of defending against modern cyber threats with the support of artificial intelligence. It combines practical knowledge with the latest AI technologies.

What skills does AI+ Security Level 3™ teach?

Topics covered include advanced attack detection, forensic analysis, automated response systems, and ethical issues surrounding the use of AI in cybersecurity.

How does Level 3 differ from the previous levels?

Level 3 goes beyond the basics and operational security. The focus is on the strategic application of AI, complex system analyses, and automated threat prevention.

Which AI tools are used in the field of security?

The focus is on advanced security tools such as Microsoft Defender for Cloud, AWS Security Hub, Google Chronicle, SIEM systems, threat intelligence platforms, and AI-powered analysis tools.

Who would benefit from in-depth knowledge of AI+ security?