Overview
This course explores applications of artificial intelligence (AI), robotics, and automation in laboratory, bioprocess, and quality operations.
Aims and Objectives
To provide learners with knowledge of emerging digital technologies that enhance productivity and accuracy in life sciences.
Course Content
Introduction to AI and automation concepts
Robotics in laboratory and production environments
Data-driven decision-making and analytics
Predictive maintenance and process control
Digital twins and smart manufacturing
Future trends in life science technology
Learning Outcomes
On completion of this course, learners will be able to:
- Explain the role of AI and automation in life sciences
- Identify opportunities for digital transformation
- Understand the benefits of data-driven operations
- Discuss emerging trends in smart laboratories and manufacturing
