Artificial Intelligence and Cybersecurity Course

Course Objectives

This training aims to teach basic concepts of artificial intelligence and cyber security, threat detection and defense strategies, AI-assisted cybersecurity practices used in real life. Participants will be able to easily understand theoretical knowledge and practice through scenarios they may encounter in real life.

Duration of Education: 3 Hours

Education Detail

1. The Basics of Artificial Intelligence and Cyber Security
; What is AI? How does it work?
; Why is AI important in cyber security?
; Real Life Example: Google's fraud detection systems
2. Cyber Threats and Artificial Intelligence Supported Defense
; phishing, ransomware (ransomware) and DDoS attacks
; anomaly detection with artificial intelligence
; Real Life Example: Banks use AI to detect credit card fraud
3. Data Protection and Encryption
; The importance of data protection in cyber security
; Basic encryption algorithms such as AES and RSA
; Real Life Example: WhatsApp's end-to-end encryption system
4. Identity and Access Management
; Use of MFA (Multi-Factor Authentication)
; What is the Zero Trust Model?
; Real Life Example: Zero Trust Model applications in Microsoft's cloud systems
5. Incident Response and Threat Hunting with Artificial Intelligence
; Cyber attack detection and automatic incident response
; Real Life Example: IBM Watson's use in cyberthreat analysis
6. Cyber Attack Detection with Machine Learning
; Self-learning cyber security systems
; Real Life Example: Darktrace's AI-based cyber security analysis
7. Artificial Intelligence Assisted Social Engineering Attacks
; Artificial intelligence-assisted deepfake and sound imitations
; Real Life Example: CEO fraud (Business Email Compromise) incidents
8. The Code of Ethics of Artificial Intelligence in Cyber Security and Legal Legislation
; Ethical problems in AI-supported systems
; Data protection laws such as GDPR and KVKK
; Real Life Example: Cambridge Analytica data scandal
9. Cyber Hygiene and Awareness Training
; Basic measures that users can take
; Real Life Example: Tesla's cyber awareness training for its employees
10. Artificial Intelligence and Cyber Security in the Future
; New cyber threats with artificial intelligence support
; Real Life Example: Quantum IT threats and next-generation cyber security approaches
11. Conclusion and Evaluation
; Questions and answers
; Participant feedback
; Resources for next steps and advanced training

Educator: Dr. Teach. Şeyma BOZKURT UZAN

Dr. Teach. Şeyma Bozkurt Uzan is a professor in Software Engineering at Istanbul Beykent University and specializes in artificial intelligence, data science, digital transformation, multi-criteria decision making and operations research.

He has been a visiting lecturer at the Rochester Institute of Technology, and has been involved in a number of international research, including European Union projects.

While developing sustainable agricultural solutions with his projects on vertical agriculture and artificial intelligence integration, DeepTech aims to provide young generations with competence in the fields of advanced technology with its educational projects. Addressing artificial intelligence and decision making processes "From Past to Present: Philosophical Reflections on AI with a SWOT Approach", studying research in mathematics and artificial intelligence "Bibliometric Analysis of Math and Artificial Intelligence Research", and evaluating multi-criteria decision-making techniques in supply chain management "Analysis of Supplier Selection Process with Multi-Criteria Decision Making Techniques" There are such important articles.

Having signed numerous academic papers, books, and project works, she continues to work actively in the fields of technology, artificial intelligence, and education.

Please contact for detailed information.

Gökhan EROL
e: gerol@inovakademi.com
g: +90 (533) 761 19 34
t: +90 (216) 709 73 32