GAMP 5 - consideration and validation of AI & ML GxP Systems
GAMP 5 perspective on AI and ML systems, Good Machine Learning Practices, validation of AI and ML, ChatGPT, AI services
Artificial Intelligence,Testing
Lectures -11
Resources -4
Duration -1 hours
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Course Description
Scope of the course
Understanding the main concepts of AI
GAMP 5 – AI & ML – concept phase, project phase, operation phase
GAMP 5 ML sub-system supporting processes
Good Machine Learning Practice GMLP
Validation of AI and ML systems
Computerized systems based on ChatGPT
Computerized systems based on AI cloud services
AI business case based on MES system
Harnessing AI's capabilities enables manufacturers to reduce costs, enhance efficiency, and ultimately improve patient outcomes. With the ongoing evolution of digital technology, pharmaceutical manufacturing is poised for further transformation in the years ahead. As AI continues to advance, its application in pharmaceuticals will likely expand, driving innovation, streamlining processes, and contributing to the development of novel treatments and therapies. This transformative power has the potential to reshape the entire industry landscape, fostering a new era of healthcare delivery that is more precise, efficient, and patient-centric.
The integration of AI not only optimizes existing manufacturing processes but also opens up avenues for entirely new approaches to drug development, production, and distribution. This shift towards AI-driven pharmaceutical manufacturing represents a paradigmatic change in how medicines are made and delivered, promising to revolutionize healthcare on a global scale.
Goals
The goals of the course
- Understand GAMP5's perspective on AI and ML systems
- Understand the supporting processes of AI/ML
- Understand good machine learning practices (GMLP)
- Explore the validation of AI and ML systems
- Understand computerized systems based on ChatGPT
- Understand computerized systems based on cloud AI services
- Understand the business case related to production systems like MES
Prerequisites
No prerequisites
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Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome - The goals & scope of the course
2 Lectures
-
Welcome - The goals & scope of the course 02:19 02:19
-
Introduction - Understanding main concepts of AI 06:46 06:46
GAMP 5 - Artificial Intelligence and Machine Learning
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Good Machine Learning Practice
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Computerized systems based on AI
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
Adrian Krzesniak
I am a seasoned Computer System Validation expert with over 15 years of extensive experience. My professional background encompasses a wide range of disciplines, including Information Technology, Software Development, Quality Assurance, and Software Quality Assurance. Throughout my career, I have had the privilege of imparting knowledge to and training hundreds of individuals in various facets of Computer System Validation.
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