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No of Days: 5

Price: Ksh 90000 / USD 1100

Training Course on Food Fraud Techniques in Nairobi and Mombasa; Kenya

Food fraud is a growing concern for food safety, consumer trust, and global supply chains. The Training Course on Food Fraud Techniques is designed to provide participants with the knowledge and skills needed to identify, prevent, and manage food fraud risks. Food fraud refers to the intentional adulteration or misrepresentation of food products for financial gain, and its implications can range from consumer health risks to brand reputation damage and regulatory violations. This course will equip professionals with the tools to detect fraudulent activities and implement effective safeguards across the food supply chain.

As global food trade expands and becomes more complex, food fraud risks have multiplied, making it essential for food safety professionals to be well-versed in modern detection methods and mitigation strategies. The course covers the latest techniques for food fraud detection, from analytical testing to digital technologies, and emphasizes the importance of establishing robust systems and controls. Participants will also explore the legal frameworks, industry standards, and best practices that help minimize food fraud risks and ensure food integrity.

In addition to detection and prevention strategies, the course provides a deep dive into the motivations behind food fraud, common fraudulent practices, and emerging trends in food fraud techniques. By understanding the scope and methods of food fraud, professionals will be better equipped to design comprehensive anti-fraud policies for their organizations. This course also highlights the importance of collaboration among stakeholders—ranging from food producers to consumers—and the role of technology in detecting fraudulent activities.

Course Duration

5 Days

Course Objectives

  1. Understand the definition and scope of food fraud and its implications.
  2. Gain knowledge of common food fraud techniques used across different food sectors.
  3. Learn how to apply modern fraud detection methods and technologies in food supply chains.
  4. Understand the legal and regulatory frameworks surrounding food fraud prevention.
  5. Develop skills in implementing food fraud prevention and detection systems.
  6. Explore the use of analytical testing methods to identify food adulteration.
  7. Learn the role of traceability and transparency in food fraud prevention.
  8. Gain insight into emerging trends in food fraud, such as the use of digital technologies.
  9. Understand the impact of food fraud on consumer trust and business reputation.
  10. Develop strategies for responding to and managing food fraud incidents.

Organizational Benefits

  1. Enhanced food safety and product integrity through effective fraud detection systems.
  2. Reduced risks of regulatory fines and reputational damage associated with food fraud incidents.
  3. Improved consumer trust and confidence in the safety and authenticity of products.
  4. Strengthened supply chain resilience by identifying and mitigating fraud risks.
  5. Enhanced ability to comply with local and international food safety regulations.
  6. Increased efficiency in managing food fraud risks and ensuring product authenticity.
  7. Reduced instances of adulteration and misrepresentation of food products.
  8. Increased collaboration between various departments (e.g., production, logistics, and quality control).
  9. Proactive identification of vulnerabilities in food production and distribution systems.
  10. Competitive advantage in the marketplace by ensuring a high level of product transparency and integrity.

Target Participants

  • Food safety and quality control managers.
  • Food processing and production professionals.
  • Supply chain and logistics managers in the food industry.
  • Regulatory compliance officers in food organizations.
  • Auditors and inspectors working in food safety and standards enforcement.
  • Food industry consultants and legal professionals.
  • Laboratory analysts and technicians involved in food testing and analysis.
  • Consumer protection and public health officials.
  • Risk management professionals in the food sector.
  • Entrepreneurs and business owners in the food industry.

Course Outline

Module 1: Introduction to Food Fraud

  1. Definition and scope of food fraud.
  2. Types of food fraud: Substitution, adulteration, mislabeling, and counterfeiting.
  3. The global impact of food fraud on the industry and consumers.
  4. Motivations behind food fraud and common targets.
  5. Case Study: The global honey fraud issue and its impact on the industry.

Module 2: Techniques for Detecting Food Fraud

  1. Overview of detection techniques: Sensory, chemical, and physical methods.
  2. The role of traceability and blockchain technology in fraud detection.
  3. Analytical techniques: DNA testing, spectroscopy, and chromatography.
  4. The importance of product authentication and certification.
  5. Case Study: Using DNA barcoding to detect seafood fraud.

Module 3: Analytical Tools and Technologies for Fraud Detection

  1. Introduction to modern analytical tools for food fraud detection.
  2. Spectroscopic and chromatographic methods for identifying adulteration.
  3. Use of sensor-based technologies in food analysis.
  4. Digital tools: Mobile apps and AI for real-time fraud detection.
  5. Case Study: Application of near-infrared spectroscopy in dairy fraud detection.

Module 4: Legal and Regulatory Frameworks

  1. Overview of food fraud regulations in various regions (e.g., EU, US, and Asia).
  2. The role of food standards organizations in preventing fraud.
  3. Legal consequences of food fraud for businesses and individuals.
  4. International food safety regulations and compliance standards.
  5. Case Study: The European Union’s fight against olive oil fraud.

Module 5: Prevention and Mitigation Strategies for Food Fraud

  1. Building a food fraud prevention program.
  2. Risk assessment and identifying vulnerabilities in the food supply chain.
  3. Implementing traceability systems to reduce fraud risks.
  4. Training and raising awareness among employees and stakeholders.
  5. Case Study: Best practices from global food companies in preventing fraud.

Module 6: Responding to Food Fraud Incidents

  1. Steps to take when fraud is detected in food products.
  2. Crisis management strategies for food fraud events.
  3. Communication with consumers, regulators, and the public.
  4. Reporting and documentation of fraud incidents.
  5. Case Study: Managing a major food fraud recall in the beverage industry.

Training Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Schedule

No Start Date End Date Action
1. 02/06/2025 06/06/2025 Register
2. 23/06/2025 27/06/2025 Register
3. 07/07/2025 11/07/2025 Register
4. 27/10/2025 31/10/2025 Register
5. 03/02/2025 07/02/2025 Register
6. 21/04/2025 25/04/2025 Register
7. 24/03/2025 28/03/2025 Register
8. 07/04/2025 11/04/2025 Register
9. 04/08/2025 08/08/2025 Register
10. 22/09/2025 26/09/2025 Register
11. 01/09/2025 05/09/2025 Register
12. 03/11/2025 07/11/2025 Register
13. 06/10/2025 10/10/2025 Register
14. 25/08/2025 29/08/2025 Register
15. 21/07/2025 25/07/2025 Register
16. 26/05/2025 30/05/2025 Register
17. 05/05/2025 09/05/2025 Register
18. 27/01/2025 31/01/2025 Register
19. 06/01/2025 10/01/2025 Register
27. 16/12/2024 20/12/2024 Register
28. 24/11/2025 28/11/2025 Register
29. 01/12/2025 05/12/2025 Register
30. 15/12/2025 19/12/2025 Register
Get In Touch

College House , Along University Way , Nairobi, Kenya

+254724527104/ +254734969612

info@datastatresearch.org

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