• Home
  • /
  • AI-Powered Life Cycle Assessment for Sustainable Green Bioproducts
Find a workshopPay feeRequest a callbackVerify a certificate
AI · Advanced · Video-based learning

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.

★ 4.2 (26 ratings)Access 24/7 · 365 daysVideo lectures of 3+ hrsCertificate
Registration open

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.

Course 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: Syllabus →

Syllabus

Module 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.

Module 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.

Module 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

Course 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 →

Course fee

Learners in India

₹2,499

Learners outside India

$50

  • Video lectures
  • Study material
  • Certificate after completion
  • 365-day access

Enrol in the course

The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

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

Need Help?

We’re here for you!


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

Enrol
Now
Explore

Registration open

More upcoming workshops

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

See all workshops
Visit Course Page
Support