Cannabis Lab Data Training Series

QSP Training

As the Cannabis Industry grows and becomes more competitive, the importance of understanding analytical testing is a new priority for leading-edge cannabis companies. QSP Sciences’ Lab Data Series training courses ensure that you and your team know how to sort through the jargon, effectively direct your lab, understand your reports and apply the testing results to continue improving your company’s bottom-line. QSP Sciences will help you lead rather than follow.

We are introducing three new courses designed to help manufacturers, quality assurance and regulatory professionals understand and use the Cannabis Lab Data generated by analytical laboratories: Potency, Residual Solvents, Pesticides, Terpenes, etc. When it comes to the science of lab data QSP Sciences has you covered.

Introduction to Cannabis Laboratory Data

($150)

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  • This course is designed for people who have not worked in the laboratory or made decisions using analytical results before, or maybe it has been a while.
  • Primer of laboratory science, terms, processes, basic analytical math; learn how laboratories analyze your samples and report results.
  • Provides a foundation for attending our more advanced classes below.

Understanding Cannabis Laboratory Results

($250)

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  • Analytical technologies and methodologies used in the analysis of cannabinoids essential oils, residual solvents, heavy metals and pesticides.
  • Concepts like accuracy, precision and fit-for-purpose are discussed including the procedures used in laboratories to control their analytical processes.
  • Control charts are used to explain concepts such as limitations of testing and data variability.
  • See how variability can affect your manufacturing, special projects and regulatory compliance.

Incorporating Laboratory Data into Cannabis Manufacturing Specifications

($500)

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  • Concepts like accuracy, precision and fit-for-purpose are discussed in detail, including how to isolate manufacturing variability from laboratory variability.
  • In-depth coverage of inter-laboratory comparability and the difficulties encountered maintaining regulatory compliance.
  • How to set manufacturing specifications based on laboratory data- not product label claims.
  • Common manufacturing practices and regulatory guidelines for dietary supplements and pharmaceuticals are presented for reference.
  • How to identify out-of-specification (OOS) situations and their remedy (CAPA). How to determine your data needs and audit a laboratory.