ISPE In Person Training Courses

This course will focus on aseptic processing and quality management around the most important pharmaceutical technology.

This training course focuses on common issues and problems in the operation of a facility and maintaining readiness for cGMP inspection. Topics include control system alarm management, common system construction deficiencies, cGMP documentation, maintaining an "inspection ready" state, frequency of testing and balancing, airflow visualization, air change rate reduction and more.

This course has been substantially updated to feature the guiding principles of the ISPE Baseline Guide: Water and Steam Systems (Second Edition) with particular emphasis placed upon microbial control and laboratory water as well as key design philosophies. The principles of design and operation of water systems used directly in pharmaceutical manufacturing and laboratory applications, including the essential concepts and principles of systems used to generate USP, EP and non-compendial waters will be covered.

This new course is focused on the commercial manufacture of Advanced Therapy Medicinal Products (ATMPs) drug products in manufacturing facilities. The purpose of this course is to focus on facility engineering issues and how to provide cost-effective facilities to ensure that products of the highest quality are consistently manufactured, as defined in the new Good Practice Guide.

This training course focuses on common issues and problems in the operation of a facility and maintaining readiness for cGMP inspection. Topics include control system alarm management, common system construction deficiencies, cGMP documentation, maintaining an "inspection ready" state, frequency of testing and balancing, airflow visualization, air change rate reduction and more.

This fundamental course introduces participants to regulatory requirements for computerized systems in the pharmaceutical industry and explores tried, tested, and internationally recognized methods of meeting those requirements. GAMP guidance provides a pragmatic and effective framework for achieving computerized systems that are fit for intended use and meet current regulatory requirements, by building upon existing industry good practice in an efficient and effective manner.

Worldwide Regulatory expectations and guidance as led by FDA and the EU have stated that all Pharmaceutical Quality Systems should apply a QRM (Quality Risk Management) approach. Through interactive workshops, this course will explain and apply the science and risk-based approach to integrated lifecycle Commissioning & Qualification by conducting verification of systems, equipment and facilities in accordance with the recently issued 2nd Edition Guide, ICH documents Q8 (R2), Q9, and Q10, current Regulatory Guidance, industry best practices, and ASTM E2500.

This fundamental course introduces participants to regulatory requirements for computerized systems in the pharmaceutical industry and explores tried, tested, and internationally recognized methods of meeting those requirements. GAMP guidance provides a pragmatic and effective framework for achieving computerized systems that are fit for intended use and meet current regulatory requirements, by building upon existing industry good practice in an efficient and effective manner.

The importance and amount of data being generated to ensure product quality and patient safety continues to grow, and proper controls around that data continue to be a subject of regulatory scrutiny. Regulatory agencies across the world are repeatedly citing data integrity issues. As a result, industry guidance and enforcement strategies are evolving. Regulatory concerns and warning letters have extended to all areas of the pharmaceutical, biotech, and medical device business, including manufacturing, development, clinical, pharmacovigilance and other areas of the product lifecycle. This course will cover data integrity, electronic records and signatures, and the compliant operation of GxP Computerized Systems to provide the tools and techniques to implement proper controls for data to ensure the integrity and validity of the information throughout the data lifecycle.