Technical & Soft Skills Training Courses

A2LA WPT has an extensive selection of laboratory staff training courses, ideal for gaining new expertise or staying up to date on crucial skills.

From bench-level staff to managers and directors, laboratories rely on the well-honed skills of their personnel to remain effective, accurate, and compliant. A2LA WorkPlace Training offers a range of technical skills courses for introductory, intermediate, and advanced skill levels. While these courses are tailored toward maintaining ISO compliance and draw from the concepts in ISO standards, they provide an exceptionally thorough breadth of information for all learners, whether they are currently accredited, seeking accreditation, or simply improving their capabilities. 

What You’ll Learn

A2LA WPT instructors are technical experts as well as experienced educators. Utilizing a combination of lecture, discussion, and interactive activities, participants will have the opportunity to explore subjects in depth. Take advantage of the classroom environment to discuss examples from your own laboratory or facility, ask for clarification on specific problems, and leverage our instructors’ knowledge to solve problems proactively. 

Read each course description to decide what courses are right for your industry and skill level and click through to see if your preferred course has a recommended prerequisite. Many of our training courses build upon each other to create comprehensive learning paths.

Course Selection

Find the right ISO training course for you or your organization. If you have any questions about our courses, let us know, or request a custom on-site course just for you with our contract training.

This is an introductory course designed to provide participants with a foundation to the fundamental concepts of statistics. Statistical concepts and methods are presented in a way that emphasizes understanding the principles of data collection and analysis.
This course is an introduction for both calibration and testing laboratory participants, focusing on the concepts and mathematics of the measurement uncertainty evaluation process. The participant will gain an understanding of the statistical techniques required to estimate measurement uncertainty and will practice those skills to create basic uncertainty budgets.
This course provides the participant with essential tools to be efficient in laboratory operations, including making continual measurement process improvements in the calibration and testing environment. Industry-proven statistical tools such as Statistical Process Control (SPC), False Accept Risk, Hypothesis Testing and others are covered.
Control charting, a graphical presentation of measurement process behavior, is an exceptionally powerful statistical tool that is easy to learn. The benefits to control charting include confidence in the stability of measurement process, rapid detection of large upsets, and insight into process behavior and improved estimation of measurement uncertainty. A well-designed control charting program is one of many tools that can be used to ensure the customer receives valid measurement results. Participants of this course will develop an understanding of basic control charting concepts, implement these concepts to build various control charts (I/MR, Xbar/R and Xbar/S), and evaluate measurement process stability.
This course reviews concepts of random processes, distributions, and statistical estimation. Participants will learn basic concepts of statistical testing, methods of testing means and variances, and review examples where this would be used in the laboratory. Participants will learn basics of regression and apply them to calibration and testing results to demonstrate linearity. All topics are tied together by considering estimation of limits of detection (LOD) and limits of quantitation (LOQ).
During this course, the participant will be introduced to several tools and techniques that can be applied in the testing laboratory environment to efficiently and effectively create measurement uncertainty budgets which comply with ISO/IEC 17025 requirements. The tools presented are generic in nature such that they may be applied in a variety of testing laboratories.
During this course, the participant will be introduced to several tools and techniques that can be applied in the calibration laboratory environment to efficiently and effectively create measurement uncertainty budgets which conform with ISO/IEC 17025 requirements. The tools presented are generic in nature such that they may be applied in a variety of calibration laboratories.
Participants will learn how to implement a robust control charting QA/QC program using risk-based thinking methods. This course presents different strategies for designing a control chart-based, QA/QC program to maintain method stability and cases for the selection of specific types of control charts to reduce the risk of not detecting a non-conformity in a test or measurement process. The course also includes methods to develop an out-of-control action plan (OCAP) to reduce risk of reporting bad data. In addition, the participant will learn to apply statistical methods for evaluating analytical measurement system performance in terms of precision and bias and explain tactics for periodic review of control chart parameters.
This course covers the design of experiments (DOE) and analysis of laboratory-generated data. Laboratory applications of DOE include measurement system analysis (MSA), designed studies used in method validation and improvement, verification of competency, and evaluations of components of measurement uncertainty. The participant will learn the basic tools and potential pitfalls of experimental design and analysis of variance (ANOVA) by studying laboratory examples.
Participants will learn the history of method validation and develop an understanding of the conceptual differences in topics such as quality control/quality assurance, and method validation/method verification. In-depth discussions will focus on the elements that appropriately validate an analytical method with respect to method type and provide participants with a template for the method validation process.
This course covers the influence of measurement throughout a product’s lifecycle, including design, manufacturing, testing, and certification, as well as where it fits within a management system (MS). Utilizing measurement data, the participant will be introduced to the technical and mathematical tools required to evaluate the probability of false accept and false reject decision risk for measurements used in conformity assessment decisions. The course will detail how this information can be used to balance the cost of managing the likelihood of occurrence against the cost of negative consequences resulting from an incorrect decision.
This course is designed for laboratory managers or trainers and provides guidance for designing and implementing training that is effective for adult learners. This course demonstrates the use of several training tools and techniques such as Blooms Taxonomy, Kirkpatrick, SAM and ADDIE, etc., that a manager or trainer might apply with their audience.