Reviews 5,0
Reviews 5,0
100% fundable

AI+ Security Expert™

Advanced security expertise grows where AI meets cybersecurity. Understanding how intelligent systems detect threats, automate defenses, and assess risks enables professionals to protect digital infrastructures in a lasting way. This training provides exactly that foundation – structured, practical, and immediately applicable.

Key topics

  • Applying intelligent systems to identify unusual patterns in network traffic
  • Recognizing threats through automated analysis and filtering pipelines
  • Building and evaluating contemporary security framework architectures
  • Designing flexible defense mechanisms for shifting threat environments
  • Implementing Zero Trust principles with the support of AI-driven controls
  • Leveraging generative AI models to simulate real-world attack scenarios

Prerequisite
Existing experience in network security combined with a foundational understanding of AI tools makes it easy to get started.

Target group
This training is aimed at IT specialists taking on security responsibility and wanting to deploy AI strategically to strengthen defensive processes and address risks in a structured way.

Well-configured AI defense systems cut response times and increase the resilience of entire organizations. This course delivers the expertise needed – for professionals who expect more than standard protection.

Course content
  • How cybersecurity and artificial intelligence (CSAI) work together
  • How AI technologies are applied in real-world security scenarios
  • Core requirements and principles of modern security concepts
  • Spotting and reducing risks in everyday digital environments
  • Creating robust infrastructures through adaptive security architectures
  • Strengthening digital defense capabilities with CSAI methods
  • The role and scope of Python in the cybersecurity domain
  • Security-relevant Python applications: from scripts to complete tools
  • Building AI-assisted scripts to automate security-critical workflows
  • Collecting, analyzing, and processing security data with Python
  • Designing and implementing custom security tools in Python
  • Situating the core principles of machine learning within security contexts
  • Surfacing suspicious behavioral patterns in networks using ML algorithms
  • Developing proactive defense strategies with ML rather than reacting after the fact
  • Effectively shielding critical systems and data from diverse attack vectors
  • How ML models identify and classify suspicious emails
  • Analyzing email content patterns to flag harmful messages with precision
  • AI-driven approaches for more accurate detection of phishing attempts
  • Self-directed systems for detecting and countering malicious email activity
  • Practical tools and platforms for AI-powered email security solutions
  • How AI algorithms work to identify malicious software
  • Deploying powerful algorithms to pinpoint and classify malware
  • Safely detecting, analyzing, and neutralizing malicious software
  • Maintaining real-time protection for systems, networks, and sensitive data
  • Extending existing defenses specifically against malware attack vectors
  • Hands-on use of Python and specialized malware analysis tools
  • Detecting suspicious traffic patterns in networks with ML methods
  • Using AI techniques to sharpen network security and optimize defensive measures
  • Introducing anomaly detection systems in network environments hands-on
  • An overview of AI-powered authentication methods
  • How AI techniques make user login more secure and reliable
  • Biometrics, anomaly detection, and behavioral analysis as authentication layers
  • Effective protection of critical resources from unauthorized access
  • Balancing security and ease of use for end users
  • Hands-on use of leading AI-based authentication platforms
  • Summary: the added value of AI in access management
  • How GANs are structured and how they function in a security context
  • Generating simulated attacks with GANs to harden defensive systems
  • Using GAN techniques to expose security gaps and optimize protective measures
  • Hands-on use of Python-based GAN frameworks for security analysis
  • Finding system weaknesses faster and more precisely with AI support
  • Automating threat detection and dynamically responding to new attack patterns
  • Systematically securing organizations through AI-driven penetration tests
  • Hands-on comparison: pentest tools and AI-based vulnerability scanners
  • Project overview and objectives
  • Real-world AI application scenarios in security environments
  • Presenting and reflecting on findings and outcomes
  • The concept and definition of AI agents in a security context
  • Core applications of AI agents at an advanced security level
  • Current use cases and development directions for AI agents in security
  • The decision-making logic and operation of modern AI agents
  • Distinguishing characteristics of high-performing AI agents
  • An overview of different agent architectures and their areas of application

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.

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