2021 ISPE March Online Live Training

Deep Dive into Pharma Training Courses 

Gain solutions to your company's immediate goals to lower production costs, improve process efficiency, increase production quality, and meet regulatory requirements.

  • Real World Practice:  Courses present exercises that use current problems and situations common to the industry.
  • Experienced Instructors:  Subject matter experts and top leaders in the pharmaceutical industry who have years of experience in their field of study.
  • Global Training to Fit Your Needs:  With eLearning

Science and Risk-based Commissioning & Qualification
3 - 4 March 2021

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.

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GAMP® 5, Annex 11/Part 11 Basic Principles
9 - 10 March 2021

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.

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Cleaning Validation Principles
16 - 19 March 2021

This course covers the risk-based approach to cleaning development and verification; risk analysis; procedures and evaluation tools including FMEA / FMECA, master planning, risk control, PAT, periodic assessment and monitoring, risk review and communication.

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GAMP® Data Integrity 21 CFR Part 11
22 - 23 March 2021

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.

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