Buy the GCP R3 course & get a FREE eBook— your complete ICH-GCP R3 reference guide. Book Now →

  • Preclinical & Laboratory Foundations Learning Path
  • Phase I – First-in-Human Trials Learning Path
  • Phase II & III – Efficacy & Pivotal Trials Learning Path
  • Clinical Trials Foundation PathNew
  • Regulatory Submission & Approval

About

Next-Generation Clinical Compliance is a forward-looking learning path designed to prepare clinical research professionals for the evolving regulatory and digital landscape of clinical trials. This program combines the latest ICH GCP E6(R3) requirements with foundational clinical trial knowledge and practical insights into Artificial Intelligence (AI) applications in healthcare and clinical research.

The learning path focuses on quality-by-design, risk-based trial oversight, data integrity, and participant protection, while also introducing how AI can enhance trial planning, monitoring, data analysis, and compliance decision-making. By integrating regulatory science with emerging technologies, this program equips learners to operate confidently in modern, technology-enabled clinical trial environments.

This learning path is ideal for professionals who want to remain inspection-ready, future-proof their careers, and understand how AI supports—not replaces—regulatory compliance and ethical clinical research conduct.

Who Should Enrol?

  • Clinical Research Associates (CRAs) and clinical operations professionals.
  • Clinical Trial Coordinators, site staff, and clinical research teams.
  • Regulatory affairs and quality assurance professionals involved in clinical compliance.
  • Clinical data management, digital health professionals, life sciences graduates, and individuals seeking AI-enabled clinical research upskilling.

What you will learn

Understand the fundamentals of clinical trials, including study design, conduct, and oversight in alignment with ICH GCP E6(R3) guidelines.

Learn end-to-end clinical trial operations, including site management, documentation practices, and regulatory compliance requirements.

Develop knowledge of how AI is applied in clinical research to improve data quality, efficiency, and decision-making while maintaining compliance.

Gain practical understanding of responsible AI use in clinical trials to support monitoring, reporting, and quality assurance activities.

Courses Included

ICH GCP in English R3

Provides in-depth understanding of the revised ICH GCP E6(R3) guideline, focusing on quality-by-design, risk-based approaches, and data integrity across the clinical trial lifecycle

duration6 hoursCPD points6 points
More Info
Fundamentals of Clinical Trials

Covers essential clinical research concepts including trial phases, study design, protocols, roles and responsibilities, and operational execution

duration3 hoursCPD points3 points
More Info
AI in Healthcare and Pharmaceuticals

Introduces AI applications in healthcare and clinical research, including data management, monitoring optimization, predictive analytics, and ethical considerations

duration6 hoursCPD points6 points
More Info

Our Certified Customers

novartis
NHS
takeda
roche
baxter

Learner Rating & Reviews

4.7
Average Rating
536 global ratings
87.0%
5.0%
3.0%
3.0%
2.0%
RC

Working with Whitehall training for the last two years of partnership has been a very successful experience – I have fast access to all the GCP course...

SM

I have finalised the demo for the ICH-GCP E6 R3 refresher course. Overall, I liked the content and the interface. I also want to thank Whitehall Train...

Frequently Asked Questions

  • Clinical Research Associates (CRAs) and Clinical Operations Professionals
  • Clinical Trial Coordinators and Site Staff
  • Regulatory Affairs and Quality Assurance Professionals
  • Clinical Data Management and Digital Health Teams
  • Life sciences graduates entering clinical research
  • Professionals seeking upskilling in AI-enabled clinical compliance

On completion, learners will be able to apply ICH GCP E6(R3) principles effectively, understand end-to-end clinical trial operations, and leverage AI tools responsibly to enhance compliance, quality, and efficiency in clinical research.