Global Learning for Operational Leaders
Professional training course
Artificial Intelligence (AI) in Cyber Forensics: Investigating Advanced Cyber Crimes
Classroom
24 sessions
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Online / Live
24 sessions
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Introduction
Course overview
Course Introduction
As cyber crimes become more sophisticated, leveraging artificial intelligence (AI) in cyber forensics is essential for effective investigation and response.
This Artificial Intelligence (AI) in Cyber Forensics training course explores how AI technologies can enhance the detection, analysis, and mitigation of cyber crimes.
Participants will learn to use AI tools and techniques to gather evidence, analyze digital data, and support legal proceedings in cyber crime investigations.
Training Objectives
By the end of this Artificial Intelligence (AI) in Cyber Forensics training course, participants will be able to:
Understand the role of AI in cyber forensics and digital investigations
Utilize AI tools for detecting and analyzing cyber crime patterns
Collect and preserve digital evidence using AI-powered solutions
Analyze large volumes of data efficiently with machine learning techniques
Integrate AI technologies into existing forensic workflows
Address legal and ethical considerations in AI-powered investigations
Who should Attend?
This Artificial Intelligence (AI) in Cyber Forensics training course is ideal for:
Cybersecurity professionals and forensic investigators
IT and risk management teams
Law enforcement and legal professionals handling cyber crime cases
Data analysts and IT administrators
Professionals interested in AI applications in 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
Foundations of Cyber Forensics and AI
- Introduction to cyber forensics and its role in combating cyber crimes
- Overview of AI technologies in digital investigations
- Types of cyber crimes and their forensic challenges
- Coffee break
- Types of cyber crimes and their forensic challenges (continued)
- Case studies: Successful AI applications in cyber forensics
Day 2
AI Tools and Techniques in Cyber Forensics
- AI-powered tools for digital evidence collection and preservation
- Machine learning algorithms for anomaly detection and pattern recognition
- Coffee break
- Machine learning algorithms for anomaly detection and pattern recognition (continued)
- Using AI for malware analysis and threat attribution
- Automating repetitive tasks in forensic investigations
Day 3
Data Analysis and Visualization in Cyber Forensics
- Big data analytics for cyber forensic investigations
- AI-assisted log and network traffic analysis
- Coffee break
- AI-assisted log and network traffic analysis (continued)
- Visualizing complex data using AI-driven dashboards
- Correlating data from multiple sources for actionable insights
Day 4
Practical Applications and Case Studies
- Hands-on exercises with AI-powered forensic tools
- Analyzing real-world cyber crime scenarios using AI
- Coffee break
- Analyzing real-world cyber crime scenarios using AI (continued)
- Using natural language processing (NLP) for examining text-based evidence
- Deepfake and AI-generated fraud detection
Day 5
Legal, Ethical, and Strategic Considerations
- Legal frameworks for AI-driven forensic investigations
- Chain of custody and admissibility of AI-analyzed evidence in court
- Ethical considerations in using AI for cyber forensics
- Coffee break
- Ethical considerations in using AI for cyber forensics (continued)
- Building an AI-powered cyber forensics strategy for organizations
FAQ
Frequently asked questions
What does Artificial Intelligence (AI) in Cyber Forensics: Investigating Advanced Cyber Crimes 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 19 - 23 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 Kuala lumpur, London, Rome, Barcelona, Istanbul, Frankfurt, Vienna, Paris.
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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