• Home
  • /
  • AI-Powered Life Cycle Assessment for Sustainable Green Bioproducts
AI · Advanced · Live online

AI-Powered Life Cycle Assessment for Sustainable Green Bioproducts

Build an end-to-end LCA model and use AI to predict, interpret and reduce the environmental footprint of bio-based products.

★ 4.1 (31 ratings)19–21 Oct 202605:00 PM IST3 Days (60-90 Minutes Each Day)Certificate
The live sessions are over · get the full recording

About This Course

This workshop introduces AI-driven Life Cycle Assessment (LCA) in green biotechnology, teaching participants to evaluate and optimize environmental impacts from bioprocess design to sustainable products. Through case studies and hands-on exercises, attendees will apply AI tools for process optimization and sustainability analysis to make data-driven, eco-friendly decisions.

Aim

To equip researchers, industry professionals, and students with AI-enabled LCA skills for evaluating and improving the environmental performance of bioprocesses and biotechnology products, fostering sustainable innovation.

Workshop Objectives

  • Understand the principles of Life Cycle Assessment (LCA) in the context of green biotechnology.
  • Explore AI and machine learning tools for environmental impact modeling and predictive analytics.
  • Analyze and optimize bioprocesses for sustainability and efficiency.
  • Evaluate environmental footprints of bio-based products from raw material sourcing to end-of-life.
  • Integrate AI-driven insights to support eco-friendly product design and decision-making.
  • Interpret LCA results to generate actionable recommendations for sustainable biotech innovation.
Next: Day-by-day →

Workshop Structure

Day 1 — LCA Fundamentals & Bio-Based Product Modeling

  • Introduction to Life Cycle Assessment
  • LCA applications in biotechnology and bio-based products
  • Goal and scope definition
  • Functional unit and system boundaries
  • Cradle-to-gate vs cradle-to-grave assessment
  • Life Cycle Inventory development
  • Mapping raw materials, energy, water, transport, and waste
  • Introduction to OpenLCA

Hands-on: Build a basic LCA model for a selected bio-based product.

Day 2 — Carbon Footprinting, Hotspot Analysis & AI

  • Carbon footprint calculation
  • Environmental impact categories
  • Emission factors and inventory datasets
  • Identification of environmental hotspots
  • Preparing LCA datasets for AI/ML
  • Environmental impact prediction using machine learning
  • Random Forest / XGBoost fundamentals
  • Feature importance and SHAP interpretation
  • Model validation using R², MAE, and RMSE

Hands-on: Develop an AI model to predict environmental impact and identify key sustainability drivers.

Day 3 — Scenario Analysis & Sustainability Optimization

  • Baseline vs improved production scenarios
  • Renewable energy and process-efficiency scenarios
  • Waste valorization and circular economy strategies
  • Sensitivity and uncertainty analysis
  • AI-assisted sustainability optimization
  • Comparing bio-based and conventional alternatives
  • Interpreting LCA results
  • Translating results into sustainability recommendations

Hands-on: Compare multiple sustainability scenarios and identify the most impactful process improvements.

Who Should Enrol?

  • Industry Professionals in biotechnology, sustainability, or environmental management
  • Academicians, Professors, and Researchers in life sciences, green chemistry, or biotech
  • PhD Scholars and Postgraduate Students interested in sustainable bioprocess design and AI applications
  • Professionals involved in product development, bioprocess optimization, and environmental impact assessment
Next: Dates →

Important Dates

Registration Ends

October 19, 2026
IST 4:30 PM IST

Workshop Dates

October 19, 2026 – October 21, 2026
IST 05:00 PM IST

Workshop Outcomes

  • Participants will create:

    • Bioproduct life cycle map
    • Goal and scope definition sheet
    • Life Cycle Inventory template
    • Product Carbon Footprint calculation
    • Hotspot analysis chart
    • AI/ML-based impact prediction model
    • Circularity scenario comparison
    • Digital Product Passport-style template
    • Short LCA interpretation report
Next: Mentor →

Meet Your Mentor(s)

Mentor Photo

roopaSC

Analyst

NA

more


Next: Fees →

Recording fee

Participants in India

₹2,499

Participants outside India

$50

  • All session recordings
  • Study material
  • Certificate after completion
  • 1-year access

Get the recording

The live sessions of this workshop are over, so the live fees no longer apply.

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

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

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

Registration open

More upcoming workshops

Live, mentor-led and certified. Dates and times in IST.

See all workshops
FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
Support