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Digital Innovation and Transformation

Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies

This Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies training course provides an in-depth exploration of how artificial intelligence (AI) can be leveraged to enhance cybersecurity defense strategies. Participants will learn about the latest AI technologies and methodologies used to identify, prevent, and respond to cyber threats. The training course covers practical applications, case studies, and hands-on exercises to equip professionals with the skills needed to implement AI-based cybersecurity solutions effectively.

Vienna - AustriaDigital Innovation and Transformation
Course schedules
Upcoming dates Classroom
Start date End date Location Fee Registration
Vienna - Austria
€2,125 + VAT
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Istanbul - Türkiye
€1,425 + VAT
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Vienna - Austria
€2,125 + VAT
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Barcelona - Spain
€1,925 + VAT
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Paris - France
€2,250 + VAT
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Barcelona - Spain
€1,925 + VAT
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London - United Kingdom
€2,100 + VAT
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Frankfurt - Germany
€1,625 + VAT
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12 - 16 October 2026 €1,050 + VAT → 19 - 23 October 2026 €1,050 + VAT → 2 - 6 November 2026 €1,050 + VAT → 9 - 13 November 2026 €1,050 + VAT → 14 - 18 December 2026 €1,050 + VAT → 21 - 25 December 2026 €1,050 + VAT → 18 - 22 January 2027 €1,050 + VAT → 15 - 19 February 2027 €1,050 + VAT →

Why Attend

This Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies training course provides an in-depth exploration of how artificial intelligence (AI) can be leveraged to enhance cybersecurity defense strategies.

Participants will learn about the latest AI technologies and methodologies used to identify, prevent, and respond to cyber threats.

The training course covers practical applications, case studies, and hands-on exercises to equip professionals with the skills needed to implement AI-based cybersecurity solutions effectively.

Course Objectives
  • Understand the fundamentals of AI and its application in cybersecurity
  • Learn how to use AI for threat detection and response
  • Explore machine learning algorithms for cybersecurity
  • Gain insights into deep learning techniques for advanced threat analysis
  • Develop strategies for integrating AI into existing cybersecurity frameworks
  • Understand the ethical and legal considerations of using AI in cybersecurity
Designed for

This program is intended for professionals involved in Digital Innovation and Transformation.

  • Cybersecurity professionals
  • IT managers and administrators
  • Data scientists and AI engineers
  • Security analysts and consultants
  • Anyone interested in the intersection of AI and cybersecurity
Course Methodology

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This training course is interactive and challenges one to think. The tutor will guide and facilitate learning, using direct input, discussions, case studies, exercises and video presentation. The skill sets developed will add value to employees, managers and leaders alike.

Course content
Day1

Day One: Introduction to AI and Cybersecurity

  • Overview of AI technologies and their relevance to cybersecurity
  • The role of AI in modern cybersecurity strategies
  • Current trends and challenges in AI cybersecurity
  • Case studies of AI applications in cybersecurity
  • Interactive session: Identifying AI opportunities in your organization’s cybersecurity strategy
Day2

Day Two: Machine Learning for Cyber Threat Detection

  • Basics of machine learning algorithms and their applications in cybersecurity
  • Supervised vs. unsupervised learning techniques
  • Implementing machine learning models for threat detection
  • Case studies of machine learning in threat detection
  • Interactive session: Developing a machine learning model for a sample cyber threat scenario
Day3

Day Three: Deep Learning for Advanced Threat Analysis

  • Introduction to deep learning and neural networks
  • Applications of deep learning in advanced threat analysis
  • Techniques for training and deploying deep learning models
  • Case studies of deep learning in cybersecurity
  • Interactive session: Building and testing a deep learning model for threat analysis
Day4

Day Four: AI-Driven Incident Response

  • Automated incident response using AI technologies
  • AI tools for real-time threat analysis and response
  • Developing an AI-driven incident response plan
  • Case studies of AI-driven incident responses
  • Interactive session: Creating an AI-driven incident response plan for a sample organization
Day5

Day Five: Integration and Ethical Considerations

  • Integrating AI into existing cybersecurity frameworks
  • Best practices for AI implementation in cybersecurity
  • Ethical and legal considerations in AI cybersecurity
  • Preparing for future developments in AI and cybersecurity
  • Interactive session: Developing an integration plan for AI in your organization’s cybersecurity strategy
The certificate

SPARK Training Certificate of Completion is awarded to participants who attend and complete the full training course.

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