From sensor data to smart biomanufacturing: learn AI-driven Bioprocess 4.0 workflows.
Bioprocess 4.0: AI, Digital Twins & Smart Biomanufacturing is a hands-on workshop that introduces participants to AI-enabled bioprocess monitoring, digital twin workflows, and smart biomanufacturing systems. Participants will learn how sensor data, machine learning, predictive analytics, and real-time visualization can improve fermentation, bioreactor performance, yield prediction, anomaly detection, and process optimization.
Using tools such as Python, Google Colab, Scikit-learn, Pandas, Matplotlib, Streamlit, and open-source bioprocess datasets, participants will gain practical exposure to building basic ML models, visualizing process data, and creating simple digital twin-based monitoring dashboards.
To introduce participants to AI-driven Bioprocess 4.0 by exploring how digital twins, sensor data, machine learning, and smart dashboards can be used for real-time bioprocess monitoring, prediction, and optimization in modern biomanufacturing.
Hands-on 1: Visualizing bioprocess sensor data using Python
Hands-on 2: Creating a basic real-time monitoring workflow in Google Colab
Hands-on 1: Building a simple ML model for bioprocess parameter prediction
Hands-on 2: Performing AI-based optimization of fermentation process conditions
Hands-on 1: Developing a simple Digital Twin prototype workflow
Hands-on 2: Creating an interactive dashboard for real-time process simulation
June 8, 2026
IST 4: 30 PM IST
June 8, 2026 – June 10, 2026
IST 5: 30PM IST
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
