Course Description

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using ?MS-Excel? application. Good laboratory practice means different things to different people. This course covers the advanced topics in Good Laboratory Practice (GLP). All the practices that ensure that laboratory testing is planned, performed, monitored, recorded and reported in an organised and controlled manner, will be discussed in general and the Uncertainty Measurement (GUM) in particular. The course addresses the requirements of EN ISO / IEC 17025: 2005 General Requirements for the Competence of Testing and Calibration Laboratories as well as the common requirements of GLP Compliance (OECD, USA, Canada, Europe & Japan) as applicable to QC/QA/Production Control Laboratories. The different GLP standards set out the requirements for technical competence and proper management of the analytical laboratories. The standards usually cover a variety of topics, that will be covered during this course: Laboratory Organization; Personnel; Safety Assurance; Laboratory Facility; Testing and Measuring Equipment; Apparatus and Reagents; Test Methods and Procedures; Calibration; Samples and Test Data Storage, Inspection, Assessment and Uncertainty Measurement (UM). The course will also discuss the requirements to be met by a laboratory supporting its organisations quality system to the ISO 9000 series of standards.The course provides training of the Good Laboratory Practice (GLP) for personnel of laboratories who wish to produce test results that are fit for the purpose and which would stand up to the scrutiny. Obviously, the primary objective of the GLP is to ensure the generation of high quality data. Statistical tools play an important role in GLP to calculate the Uncertainty Measurement. This course will focus on the latest techniques and standards developed to measure the uncertainty of the data.

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

30 % Lectures
20 % Workshops & Work Presentations
20 % Case Studies & Practical Exercises
30 % Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates	:	Only soft copy certificates will be issued
Training Materials	:	Only soft copy materials will be issued
Training Methodology	:	80% theory, 20% practical
Training Program	:	4 hours per day, from 09:30 to 13:30