Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI-Powered Life Cycle Assessment for Sustainable Green Bioproduction applies life-cycle thinking and AI to the environmental impact of making things biologically. You learn to scope and build an LCA for bioproduction processes and bio-based products — feedstocks, fermentation, processing and end of life — and how AI accelerates it by filling data gaps and modelling impacts. The course connects assessment to greener process and product decisions in industrial biotechnology. You finish able to reason about an AI-assisted LCA for a bioproduction system. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course applies AI to life-cycle assessment of green bioproduction — quantifying and optimising the environmental footprint of biomanufacturing and bio-based products.
📋 Course Objectives
1. Scope an LCA for bioproduction processes.
2. Build a life-cycle inventory for bio-based products.
3. Use AI to fill data gaps and model impacts.
4. Assess feedstock, process and end-of-life stages.
5. Turn results into greener bioprocess decisions.
👥 Who Should Enroll?
• Industrial-biotech and bioprocess professionals
• Sustainability and LCA analysts
• Green-chemistry researchers
• Students of sustainable bioproduction
🚀 Key Learning Outcomes
• An understanding of LCA for bioproduction.
• An AI-assisted assessment perspective.
• A green-biomanufacturing 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 – LCA Foundations & Bioproduct Mapping
Define goal, scope, functional unit and system boundaries for bioproduct LCA • Collect Life Cycle Inventory data from suppliers and value‑chain sources • Create a bioproduct life‑cycle map and basic inventory template
Day 2 – Carbon Footprint, Impact Assessment & AI Prediction
Develop LCI datasets and calculate product carbon footprints • Identify hotspots across carbon, water, energy, waste, acidification and eutrophication • Build a simple machine‑learning model to predict environmental impacts and analyse feature importance
Day 3 – Circularity, Digital Product Passport & Reporting
Run scenario analysis for bio‑based, fossil‑based and circular pathways • Create circularity and end‑of‑life comparison sheets • Prepare a Digital Product Passport template and draft an LCA interpretation report
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Excel |
| Covered Tool / Platform | OpenLCA |
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Machine Learning libraries |
| Covered Tool / Platform | Data Visualization tools |
| Covered Tool / Platform | Digital Product Passport Templates |
Frequently Asked Questions
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