Global Learning for Operational Leaders
Professional training course
Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies
Classroom
18 sessions
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Online / Live
18 sessions
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Introduction
Course overview
Course Introduction
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.
Training Objectives
By the end of this training course, participants will be able to:
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
Training 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.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit:
Cybersecurity professionals
IT managers and administrators
Data scientists and AI engineers
Security analysts and consultants
Anyone interested in the intersection of AI and cybersecurity
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
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
- Coffee break
- Current trends and challenges in AI cybersecurity (continued)
- Case studies of AI applications in cybersecurity
- Interactive session: Identifying AI opportunities in your organization’s cybersecurity strategy
Day 2
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
- Coffee break
- Implementing machine learning models for threat detection (continued)
- Case studies of machine learning in threat detection
- Interactive session: Developing a machine learning model for a sample cyber threat scenario
Day 3
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
- Coffee break
- Case studies of deep learning in cybersecurity (continued)
- Interactive session: Building and testing a deep learning model for threat analysis
Day 4
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
- Coffee break
- Developing an AI-driven incident response plan (continued)
- Case studies of AI-driven incident responses
- Interactive session: Creating an AI-driven incident response plan for a sample organization
Day 5
Integration and Ethical Considerations
- Integrating AI into existing cybersecurity frameworks
- Best practices for AI implementation in cybersecurity
- Ethical and legal considerations in AI cybersecurity
- Coffee break
- Ethical and legal considerations in AI cybersecurity (continued)
- Preparing for future developments in AI and cybersecurity
- Interactive session: Developing an integration plan for AI in your organization’s cybersecurity strategy
FAQ
Frequently asked questions
What does Artificial Intelligence (AI)-Based Cybersecurity Defense Strategies cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 12 - 16 October 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Vienna, Barcelona, Paris, Istanbul, London, Frankfurt, Geneva, Cape Town, Rome, Dubai.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.
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