Bioprocess 4.0: AI, Digital Twins & Smart Biomanufacturing
From sensor data to smart biomanufacturing: learn AI-driven Bioprocess 4.0 workflows.
About This Course
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.
Aim
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.
Course Objectives
- Understand the concepts of Bioprocess 4.0, Pharma 4.0, and smart biomanufacturing.
- Learn how AI, IoT, sensors, and automation support modern bioprocess monitoring.
- Explore the role of digital twins in real-time process visualization and decision-making.
- Apply machine learning for bioprocess parameter prediction and optimization.
- Identify anomalies and process deviations using AI-based analytics.
- Build simple workflows for sensor data visualization, ML modeling, and dashboard creation.
Syllabus
🧬 Day 1: Foundations of Bioprocess 4.0 & Intelligent Monitoring
- Understand Bioprocess 4.0, Pharma 4.0 and smart biomanufacturing concepts
- Learn the role of AI, IoT, sensors and automation in modern biotechnology
- Explore Digital Twin concepts for bioprocess monitoring and control
- Understand real-time data acquisition from fermentation and bioreactor systems
- Learn how predictive analytics supports process efficiency and quality improvement
- Tools covered: Python, Google Colab, Jupyter Notebook, Pandas and Matplotlib
🔬 Hands-on:
Hands-on 1: Visualizing bioprocess sensor data using Python
Hands-on 2: Creating a basic real-time monitoring workflow in Google Colab
🧫 Day 2: AI & Machine Learning for Bioprocess Optimization
- Learn data preprocessing and feature engineering for bioprocess datasets
- Understand machine learning models for fermentation and bioreactor optimization
- Explore AI-based prediction of yield, pH, temperature, biomass and productivity
- Learn anomaly detection and predictive maintenance for bioprocess systems
- Study real-world applications from pharmaceutical and biotech industries
- Tools covered: Python, Google Colab, Scikit-learn, NumPy and Pandas
🧪 Hands-on:
Hands-on 1: Building a simple ML model for bioprocess parameter prediction
Hands-on 2: Performing AI-based optimization of fermentation process conditions
🧬 Day 3: Digital Twin Implementation & Smart Biomanufacturing Workflows
- Understand the architecture of Digital Twin systems in biomanufacturing
- Learn how AI-integrated Digital Twins support real-time process decisions
- Explore simulation, process synchronization and cloud-based monitoring
- Learn dashboard development for smart bioprocess visualization
- Explore future trends such as Generative AI, autonomous labs and Industry 5.0
- Tools covered: Python, Streamlit, Plotly Dash, Google Colab and open-source bioprocess datasets
🧫 Hands-on:
Hands-on 1: Developing a simple Digital Twin prototype workflow
Hands-on 2: Creating an interactive dashboard for real-time process simulation
Who Should Enrol?
- Students from biotechnology, life sciences, pharmaceutical sciences, microbiology, bioinformatics, and related fields
- PhD scholars and researchers working in biotechnology, bioprocessing, pharma, or life sciences
- Academicians, faculty members, and trainers interested in smart biomanufacturing
- Industry professionals from biotech, pharma, fermentation, QA/QC, R&D, and biomanufacturing sectors
- Basic knowledge of biotechnology or bioprocessing is helpful
- Prior coding experience is not mandatory
- Familiarity with Python or data analysis will be an added advantage
Course Outcomes
- Understand AI-driven Bioprocess 4.0 and smart biomanufacturing workflows.
- Analyze and visualize bioprocess sensor data using Python.
- Build basic ML models for prediction and process optimization.
- Understand how digital twins support real-time monitoring and decision-making.
- Create simple dashboards for bioprocess visualization.
- Apply AI concepts to fermentation, bioreactor, and biomanufacturing use cases.
Meet Your Mentor(s)
Course fee
Learners in India
₹2,499
Learners outside India
$50
- Video lectures
- Study material
- Certificate after completion
- 365-day access
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Frequently asked questions
How is this course taught?
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
How long do I have access?
365 days from your registration, on your NanoSchool dashboard.
Do I get a certificate?
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
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