Run smart biomanufacturing with AI and digital twins (Bioprocess 4.0).
Biotechnology & Genetic Engineering
Module-by-module breakdown of Bioprocess 4.0: AI, Digital Twins & Smart Biomanufacturing, from foundations to a certified capstone project.
Outline
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
Outline
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
Outline
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
e-Certificate and e-Marksheet issued on successful completion.