Practical Fraud Awareness Training
Location: online
Dates: 19 – 24 January 2026, 16 – 21 February 2026 (3PM-4PM CET)
Fee: Ā 20 euro per module, 105 euro for the whole trainingĀ
This course trains the human mind to quickly and accurately detect scams, which have caused severe financial loss, emotional distress, and even fatalities. Starting with an X-ray into the mind of a typical scammer, it exposes common tactics such as exploiting trust, urgency, and technology for deception. In this training, an exclusive interview with an undercover scammer will be revealed with the objective of sifting practical lessons.
The course covers basic and advanced fraud detection, including identifying fake emails, phone numbers, websites, documents, and social media accounts. It also introduces identity verification techniques such as face-matching, liveness checks, and geolocation of scammers, alongside methods to detect deepfakes in photos, videos, audio, and text.
Practical strategies to defend against malicious attacks such as email account take over, spyware and ransomware attacks are described. The real-life case studies of major losses and fatalities from extreme scams provide hands-on insights. Notably, the Q&A session in each module is exceptional, with experienced experts providing thorough and insightful answers.
The course wraps up with a comprehensive safety checklist to ensure learners can apply these skills to protect participants and their families from scams. By the end, participants gain the confidence and tools to spot, prevent, and respond to fraud effectively.
Trainer
Nelson Osu, 54, is an experienced educator, administrator, and entrepreneur with over 20 years in teaching. Married with five children, he has also made an impact in tourism and holds qualifications in microbiology, project management, cybersecurity, and creativity. He is dedicated to advancing excellence and innovation in education.
Nelson is a tech-driven innovator focused on creating practical digital solutions. His projects include eCaller, which connects people in emergencies to nearby medical personnel and has been endorsed by a UK startup legacy firm; GobbleHub, which links users to nearby food banks; and Automate-Keys, which helps businesses find automation experts to boost productivity.
Nelson currently leads VerifierHub (verifierhub.com), an AI-powered, human-supported platform that fights scams in service marketplaces through advanced technology and a network of 400+ trained verifiers. Motivated by the rise in scam-related deaths especially the sextortion-related suicide of Jordan DeMay, he went undercover to study scam operations and now shares his findings through his signature Fraud Awareness Training.
Course breakdown
Training Duration per Module:Ā presentation – 25 minutes, Q&A session – 10-15 minutesĀ (3 PM – 4 PM CET)
Module A. The Psychology of Scams
Objective: Key Concepts & Mitigation Measures
- Mass Messaging Mindset
- Small Crimes, Safe Crimes
- Exploiting Enforcement Lag
- Trust First, Pressure Later
- No Empathy, No Limits
- Study the Target
- Tech Tools Turned Rogue
- Make It Look Real
- From Urgency to Deception
- Anonymity is their Greatest Weapon
- Scamming From Afar
- Blinded by Greed
- Holding Companies Hostage
- AI-Driven Scams
- The Cost of Being Too Busy
Case Studies: Major financial losses and fatalities from scams.
Module B. Basic Fraud detection
Objective: Key Concepts & Mitigation Measures
- Identifying Fake Names
- Identifying Fake Email IDs
- Identifying Fake Phishing Content
- Identifying Fake Phone Nos
- Identifying Fake Phone Conversation
- Identifying Fake Social Media Accounts
Case Studies: Major financial losses and fatalities from scams.
Module C. Advanced Fraud detection
Objective: Key Concepts & Mitigation Measures
- Identifying Malicious Weblinks
- Identifying FakeĀ Websites
- Identifying Fake Business Email IDs
- Identifying FakeĀ Companies
- Identifying FakeĀ Documents
- Identifying fake photos
Case Studies: Major financial losses and fatalities from scams.
Module D. Identity Verification
Objective: Key Concepts & Mitigation Measures
- ID Verification
- Liveness Verification
- Face-matching Verification
- Geolocation Verification
- NFC Verification
- Phone Verification
- Proof of Address Verification
Case Studies: Major financial losses and fatalities from scams.
Module E. Deepfake Verification
Objective: Key Concepts & Mitigation Measures
- Photo Deepfakes
- Audio Deepfakes
- Video Deepfakes
- Document Deepfakes
- Text Deepfakes
- Product Review Deepfakes
- Biometrics Deepfakes
Case Studies: Major financial losses and fatalities from scams.
Module F. Defending Against Ransomware
Objective: Key Concepts & Safety Measures
- Overview & Key Highlights
- Attack Channels & Mitigation
- Early detection Signs
- Incident Response Steps
- Conclusion
Case Studies: Major financial losses and fatalities from scams.
Module G. Appendices
- Major Financial Losses (Case Studies)
- Lives Lost to Scams (Fatal Cases)
- Safety Checklist for Scam Prevention
Case Studies: Major financial losses and fatalities from scams.