AI+ Security Level 2™

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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Modern security thinking is gaining momentum: AI-supported protection mechanisms, automated defense strategies, and smart risk analysis are opening up new ways to make digital environments more robust. This text provides a concise introduction to advanced AI security concepts—understandable, practical, and trend-conscious.

Key topics

AI-based anomaly detection
Automated threat analysis
Modern security frameworks
Adaptive protection strategies
Zero trust approaches with AI
Attack simulations using generative models

Prerequisite
Basic understanding of modern security architectures and basic knowledge of AI-supported tools.

Target group
Professionals who want to strategically develop security environments and use AI to enhance risk detection and protection processes.

AI and cybersecurity are rapidly converging. This training course strengthens understanding of future-oriented protection systems and provides clarity for informed decisions in the digital space.

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Course content

Introduction to AI and Cybersecurity

Fundamentals of Cybersecurity and Artificial Intelligence (CSAI)
Introduction to AI and its applications in cybersecurity
Overview of the fundamentals of cybersecurity
Identifying and mitigating risks in everyday life
Building a resilient and adaptable security infrastructure
Improving digital defenses with CSAI

Python programming for AI and cybersecurity experts

The Python programming language and its significance for cybersecurity
The Python programming language and its applications in cybersecurity
AI scripting for the automation of cybersecurity tasks
Data analysis and processing with Python
Developing security tools with Python

Application of machine learning in cybersecurity

Understanding the application of machine learning in cybersecurity
Anomaly detection for behavioral analysis
Dynamic and proactive defense using machine learning
Protecting sensitive data and systems from a wide range of cyber threats

Detecting email threats with AI

Use of machine learning to detect email threats
Analysis of patterns and flagging of malicious content
Improving phishing detection with AI
Autonomous identification and defense against email threats
Tools and technologies for implementing AI in email security

AI algorithm for detecting malware threats

Introduction to the AI algorithm for detecting malware threats
Use of advanced algorithms and AI to detect malware threats
Identifying, analyzing, and defending against malware
Protecting systems, networks, and data in real time
Strengthening cybersecurity measures against malware threats
Tools and technology: Python, malware analysis tools

Detection of network anomalies using AI

Identifying unusual patterns in network traffic using machine learning
Improving cybersecurity and strengthening network defenses with AI techniques
Implementing techniques for detecting network anomalies

Security in user authentication with AI

Introduction
Improving user authentication with AI techniques
Introduction of biometric recognition, anomaly detection, and behavioral analysis
Robust protection against unauthorized access
Seamless yet secure user experience
Tools and technology: AI-based authentication platforms
Conclusion

Generative Adversarial Network (GAN) for cybersecurity

Introduction to Generative Adversarial Networks (GANs) in Cybersecurity
Creating realistic fake threats to strengthen systems
Identifying vulnerabilities and refining security measures using GANs
Tools and technology: Python and GAN frameworks

Penetration testing with artificial intelligence

More efficient identification of vulnerabilities using AI
Automating threat detection and adapting to evolving attack patterns
Strengthening companies against cyber threats using AI-driven penetration testing
Tools and technology: Penetration testing tools, AI-based vulnerability scanners

Final project

Introduction
Use cases: AI in cybersecurity
Presentation of results

Optional module: AI agents for security level 2

What are AI agents?
Key functions of AI agents in advanced cybersecurity
Applications and trends for AI agents in advanced cybersecurity
How does an AI agent work?
Key features of AI agents
Types of 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 advanced-level AI security mean?

Level 2 AI security combines practical IT security with intelligent automation. The focus is on threat detection, incident response, and AI-supported defense.

How is artificial intelligence changing IT security?

AI analyzes huge amounts of data in real time, recognizes patterns, and responds faster to attacks. This creates dynamic protection against modern cyber threats.

What knowledge does AI+ Security Level 2™ provide?

In-depth skills in threat intelligence, machine learning for security, automated analysis methods, and defense strategies using AI tools are taught.

What tools are used in AI+ Security Level 2™?

Advanced security platforms for cloud and AI are used, including Splunk, Microsoft Sentinel, AWS Security Hub, and Google Chronicle. Threats are analyzed, attacks simulated, and security strategies automated with AI—directly via web-based tools.

What is the difference between security levels 1 and 2?

Level 1 covers the basics, Level 2 goes deeper: attack detection, anomaly analysis, AI-based responses, and application to real-world scenarios.

How does machine learning help with cybersecurity?

Machine learning detects suspicious behavior, creates risk profiles, and automatically adapts protective measures to new threats.

Is AI+ Security also relevant for businesses?

Yes, especially for companies with sensitive data. AI protects networks, prevents data leaks, and supports compliance through intelligent monitoring.

What role does ethical hacking play at Level 2?

A key element: penetration tests with AI support, simulation of realistic attacks, and analysis of vulnerabilities—controlled and learning-based.

Do you have any further questions? Please contact us.

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