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Professional Diploma in Foundations of Quality Assurance and GMP in Pharmaceutical and Medical Device Manufacturing

Start Date Tuesday 22nd September 2026
Duration 10 weeks, 1 evening per week from 18:30 to 21:30
Learning Mode Blended Online
Contact Hours 30

This Quality Assurance course is designed to provide learners with a solid foundation of Quality Assurance and Good Manufacturing Practices (GMP) associated with pharmaceutical and medical device manufacturing. Good Manufacturing Practices (GMP) underpin quality assurance by ensuring that production and control of medicinal products are aligned with the relevant quality standards and regulations for their intended purpose and as stipulated by the product specification and the appropriate regulations.

GMP outlines quality benchmarks for both production and quality control, and the measures to ascertain that the processes essential for design, production and testing are clearly specified, validated, scrutinised, and documented. GMP ensures that the personnel, facilities, and materials are appropriate for the manufacturing of pharmaceuticals and devices, including vaccines. GMP further encompasses legal aspects, including responsibilities concerning distribution, contract manufacturing and testing, and addressing product defects and complaints.

This Quality Assurance course is supported by industry experts and real-world examples of the application of Quality Assurance and GMP in a variety of contexts. Learners will be supplied with instructor materials, including class notes, videos, case studies and exemplars on a weekly basis.

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Professional Diploma in Foundations of Quality Assurance and GMP in Pharmaceutical and Medical Device Manufacturing
Blended Online

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Course Details

This Quality Assurance course includes the following topics

Unit 1: Quality Assurance in the Pharmaceutical Industry (Course Outcome 1, Weeks 1 &2)

  • Understanding Quality Assurance in the Pharmaceutical and Medical Device Industries
  • Regulatory Requirements and Industry Standards (i.e. ISO13485, FDA etc.)
  • Non-Compliance and its Consequences
  • Ensuring Compliance and Continuous Improvement

Unit 2: Principles and Practices of GMP (Course Outcome 2, Week 3 & 4)

  • Fundamentals of Good Manufacturing Practices (GMP)
  • Root cause analysis;5WHYS, Fishbone, Pareto & Event tree analysis inference
  • Developing CAPA
  • Key supplier standards: ISO 9001, API GMP, Excipient GMP
  • How to plan, monitor and perform GMP Auditing in line with EU GMP, FDA
  • Batch Review and Batch Release, Deviation Handling and Management

Unit 3: Record Maintenance, Traceability and Accountability (Course Outcome 3, Weeks 5 & 6)

  • Identifying Essential Documents for Record Maintenance
  • Good Documentation Practices (GDP) in Pharmaceutical and medical device Manufacturing
  • Handling product complaints, Product Recall, and Post-market surveillance
  • Principles of documentation, Data integrity and Handling of FDA inspections, FDA warning letters
  • Risk Management ICHQ9, ICHQ8, ICHQ7, ICHQ6 & ICHQ10

Unit 4: Quality Assurance (Course Outcome 4, Week 7 & 8)

  • Quality Management Systems for Manufacturing Processes
  • End-to-end lifecycle approach to cleaning validation, cleaning chemistry
  • Principles of Calibration and Validation in Pharmaceuticals
  • Setting acceptable criteria, process design and qualification
  • Quality tracking systems (Phenix, Trackwise, Veeva and VAULT)
  • Quality Governance, Challenges and Solutions

Unit 5: QA Systems for Pharmaceutical and Medical Device Manufacturing (Course Outcome 5, Week 9 & 10)

  • Introduction to Quality Assurance (QA) Systems
  • Benefits and Challenges of Implementing QA Systems
  • Tailoring QA Plans for a Pharmaceutical Manufacturing Setting
  • Testing Methods and Tools to Monitor QA Systems

The Quality Assurance course is assessed through one piece of course assessment which requires the learner to work within a group to examine a supplied case study on compliance management and continuous improvement.

Learners, through their individual roles and responsibilities, will examine the case presented and identify improvement practices integrated and evaluate against quality assurance principles and regulation compliance. The project will be due in Week 10 of the programme.

The Quality Assurance course audience is for learners who wish to acquire a foundational understanding of Quality Assurance and Good Manufacturing Practices (GMP) in pharmaceutical manufacturing, including the ability to apply these principles to ensure traceability and accountability.

This aim will empower learners to effectively contribute to the maintenance of high-quality standards in industry, laying a solid foundation for further education and career advancement in pharmaceutical and medical device operations.

You will learning the following on our Quality Assurance course:

  1. Recognise the importance of Quality Assurance in the pharmaceutical and medical device industries and the impact of non-compliance on product quality and patient safety.
  2. Use appropriate terminology to describe the principles and practices of Good Manufacturing Practices.
  3. Gain a basic understanding of ISO13485 which defines GMP.
  4. Identify the key documentation required for record maintenance and the essential processes involved in maintaining traceability and accountability in pharmaceutical and medical device manufacturing.
  5. Discuss the role of Quality Assurance and the principles and practices of Good Manufacturing Practices in ensuring compliance with regulatory requirements.
  6. Illustrate the steps involved in implementing Quality Assurance systems in a pharmaceutical and medical device manufacturing setting.

Professional Diploma in Foundations of Quality Assurance and GMP in Pharmaceutical and Medical Device Manufacturing

Hesborn Omwandho

Hesborn Omwandho

MSc in Bioinformatics

Hesborn Oburah holds a bachelor’s degree in Biomedical Science from Egerton University and a Master’s degree in Bioinformatics from Pwani University (Collaborative research with Cambridge University). He is also currently working towards his PHd at University College Dublin.

Hesborn has experience in Data Mining, using deep learning & machine learning models for pattern recognition and predictive modeling, as well as experience in image data augmentation, transfer learning, and hyper-parameter tuning. As part of his research he deployed a neural network for recognising and classifying diseased plant images and SARS-CoV-2 variant classification, increasing clinical turnaround time for diagnosis.

He has over 3 years experience in instructing concepts for master’s and undergraduate students in data science, Transcriptomics, Phylogenetics & Genome-wide association studies. Concepts in chemoinformatics, such as protein structure, docking of ligand to protein structure using the Alphafold framework, and Primer Design.

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Professional Diploma in Foundations of Quality Assurance and GMP in Pharmaceutical and Medical Device Manufacturing