← Learning Tracks
Implementation

Owning Systems: How to Execute

This track is for practitioners who already understand GxP basics and want to go deeper into execution: how to design controls, run validations, review audit trails, and build programs that hold up under scrutiny.

For: Validation engineers, QA specialists, system owners, lab managers, anyone responsible for the day-to-day execution of GxP quality programs.
Prerequisites: New to GxP? Start with the Foundations Track first.
01
Data Integrity

The data lifecycle in practice

Every GxP system generates data that moves through a lifecycle: creation, processing, review, reporting, retention, and archival. Understanding this lifecycle, and the integrity requirements at each stage, is the foundation of any practical DI program.

02
Data Integrity

Audit trail design and review

Audit trail requirements are cited in nearly every data integrity warning letter. But what should an audit trail actually capture, and how do you review it efficiently without drowning in volume? This covers both the technical configuration and the review process.

03
CSV & CSA

21 CFR Part 11 and EU Annex 11

The core regulatory requirements for electronic records and electronic signatures. What each requirement means in practical terms, how the US and EU frameworks differ, and the common misconfiguration patterns that drive findings.

04
CSV & CSA

What validation deliverables actually are

Most validation practitioners can name the documents in a validation package; fewer can explain what purpose each serves and how they relate to each other. This is the reference that explains the "why" behind each deliverable.

05
Equipment Qualification

Equipment qualification: DQ through PQ

Walking through the qualification lifecycle for a real GxP instrument, what each phase proves, what documentation is required, and what the common failure points look like.

06
Quality Assurance

Quality risk management in practice

ICH Q9(R1) provides the framework; FMEA, HACCP, and risk ranking give you the tools. This covers how to apply risk management to DI and validation programs rather than treating it as a theoretical exercise.

07
Manufacturing Systems

MES, SCADA, and the shop floor

Manufacturing automation systems, MES, EBR, SCADA, historians, generate enormous volumes of GxP data with specific audit trail and Part 11 challenges that QC lab-focused programs frequently miss.

08
Audits & Inspection

FDA inspection readiness

Inspection readiness is not about preparing for an inspection, it is about maintaining a state of control that would withstand one at any time. This covers what that actually requires, how to assess readiness, and what the logistics of an FDA inspection look like.

09
Quality Assurance

OOS investigations and laboratory data quality

Out-of-specification investigations are one of the most regulated activities in pharmaceutical QC. Phase 1 and Phase 2 investigation logic, assignable cause determination, and what FDA inspectors examine.

10
CSV & CSA

CSV risk assessment: scoping validations correctly

Risk-based validation is the expectation, not an option. FMEA, criticality scoring, GAMP 5 software categories, and how risk assessment drives testing scope and vendor documentation leverage.

11
Quality Assurance

Supplier and vendor qualification

Every material, service, and software system has a supplier. Approved vendor lists, qualification tiers, audit programs, quality agreements, and what software vendor qualification requires.

12
CSV & CSA

Change control and revalidation triggers

Changes to validated systems require documented impact assessment and, in many cases, revalidation. What constitutes a change, how to categorize it, and how to determine testing scope.

13
Data Integrity

Training programs that actually change behavior

GxP training is a regulatory requirement. But making it effective, not just documented, requires understanding what makes people follow procedures, and what makes them work around them.

14
AI & Automation

AI tools in GxP, what works and what doesn't

An honest assessment of where AI genuinely helps in compliance workflows, what the validation requirements are, and how to design AI tooling that holds up under a GxP audit.

When you're ready

Continue to the Advanced Track

The Advanced track covers program architecture, inspection defense, 483 response, and what it takes to build and lead a mature DI program.

Advanced Track →