0Learning items
2 MonthsCourse duration
0Active learners
80%Completion rule
COURSE OVERVIEW
About this course
Everything you need to understand the course before you begin.
This advanced course shows how AI is applied to design, monitor, and optimise bioprocesses in biotech, pharma, and industrial biotechnology. You will learn process data collection and sensors, statistical design of experiments (DoE), predictive modelling of fermentation and cell culture, soft sensors, Bayesian optimisation, and digital twins. The course also covers scale-up, process analytical technology (PAT), quality-by-design (QbD), and anomaly detection for quality control. Prior knowledge of Python, basic machine learning, and bioprocess fundamentals is recommended.
COURSE CURRICULUM
What you will learn
Explore the complete learning path, section by section.
0Sections
0Lessons
Curriculum is being preparedPublished lessons will appear here soon.