AI in GMP Manufacturing Training

About this course

Why AI is already a GMP question

Cameras that learn to see defects, models that predict equipment wear, tools that group deviation texts and assistants that draft procedures are arriving at medicines sites now. In April 2026 FDA wrote to a manufacturer that had used AI agents to create specifications, procedures and master production records without quality unit review, and that had not validated its process, saying the AI agent never told it this was required. The message for every site is clear: the company and its quality unit stay responsible for whatever a tool produces. Teams that adopt AI without control risk exactly the findings inspectors already know how to write. The opposite mistake is just as costly: a site that believes there are no rules for AI yet may either freeze useful projects or run them with no validation at all. In fact, an AI model in GMP work runs inside a computerised system, and the rules for computerised systems apply today.

What makes this course different

Rather than AI in general, this course applies the rules already in force to AI used in manufacturing and quality work: EU GMP Annex 11 point by point, 21 CFR 211.22 and 211.68, and Part 11, alongside the EMA reflection paper of September 2024 and the joint FDA and EMA guiding principles of January 2026. The EU draft Annex 22 and the draft Annex 11 revision, consulted on from July to October 2025, and FDA's draft guidance of January 2025 are named as drafts with their dates, never presented as requirements. Four projects at JKL Pharma Ltd., from a high-risk vial inspection camera to a writing assistant, run through every module, so each control is seen on a real use.

Who should take it

The course is for production and QC staff who work with AI tools, QA staff who approve them and review their outputs, validation, IT and data staff who build and test them, and managers deciding whether a tool can be used in GMP work at all. No coding or mathematics is needed. It suits sites supplying the US, the EU or both, because each control is shown under both sets of rules. The ten modules take about two hours, with three short practice questions after each one. Teams that need AI governance more widely, such as ISO/IEC 42001 or the EU AI Act, can continue with the other Sterling Academy AI courses; this course stays with GMP.

What a learner can do afterwards

After the course, a learner can place any AI tool in the site's inventory with a written intended use and a risk rating, and say how much control that rating calls for. They can check whether training and test data are fit for the use and kept apart, why accuracy alone can mislead, and what a test plan must cover on the real line. They know what a genuine quality unit review of tool output looks like, how to watch a model for drift and change it under change control, and how to track the drafts by date without treating them as rules. They can also tell when a model with no person checking each result needs a written plan for its failure modes and for suspending it. The course ends with a scenario-based exam and a Certificate of Completion.