Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Bioprocess 4.0: AI, Digital Twins & Smart Biomanufacturing brings the smart-factory revolution to the bioreactor. You learn how AI, digital twins and connected sensing transform biomanufacturing: monitoring and controlling bioprocesses in real time, building digital twins that predict and optimise fermentation and cell culture, and using data to improve yield, quality and scale-up. The course connects process analytics to the demands of pharmaceutical and industrial bioproduction, including quality-by-design. You finish able to reason about applying AI and digital twins to a bioprocess. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers Bioprocess 4.0 — applying AI, digital twins and IIoT to bioprocessing for smarter, real-time-optimised, scalable biomanufacturing.
📋 Course Objectives
1. Monitor and control bioprocesses in real time.
2. Build digital twins of fermentation and cell culture.
3. Optimise yield, quality and scale-up with AI.
4. Apply process analytics and quality-by-design.
5. Connect data to smart biomanufacturing.
👥 Who Should Enroll?
• Bioprocess and manufacturing engineers
• Biopharma and industrial-biotech professionals
• Data scientists in bioproduction
• Students of bioprocessing
🚀 Key Learning Outcomes
• An understanding of Bioprocess 4.0.
• A digital-twin biomanufacturing perspective.
• A bioprocess-analytics project.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – Foundations of Bioprocess 4.0 & Intelligent Monitoring
Understand Bioprocess 4.0, Pharma 4.0 and smart biomanufacturing concepts • Explore AI, IoT, sensors and automation roles in biotechnology • Visualize bioprocess sensor data using Python • Create a basic real‑time monitoring workflow in Google Colab
Day 2 – AI & Machine Learning for Bioprocess Optimization
Preprocess and engineer features for bioprocess datasets • Build simple ML models to predict yield, pH, temperature and biomass • Apply anomaly detection and predictive maintenance techniques • Optimize fermentation conditions with AI‑driven simulations
Day 3 – Digital Twin Implementation & Smart Biomanufacturing Workflows
Design the architecture of Digital Twin systems for biomanufacturing • Integrate AI into Digital Twins for real‑time decision support • Develop interactive dashboards with Streamlit and Plotly Dash • Explore future trends such as Generative AI, autonomous labs and Industry 5.0
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Pandas |
| Covered Tool / Platform | NumPy |
| Covered Tool / Platform | Matplotlib |
| Covered Tool / Platform | Scikit‑learn |
| Covered Tool / Platform | Streamlit |
| Covered Tool / Platform | Plotly‑Dash |
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