AI ยท Moderate ยท Video-based learning

๐ŸŒฑ AI-Powered Life Cycle Assessment Dashboards

International Workshop on Intelligent Tools for Sustainable Decision-Making

โ˜… 4.0 (6 ratings)Access 24/7 ยท 365 daysVideo lectures of 3+ hrsCertificate
Registration open

About This Course

AI-Powered Life Cycle Assessment Dashboards is an interdisciplinary international workshop that combines environmental sustainability, data science, and machine learning to create intelligent dashboards for life cycle-based analysis.

Participants will learn the fundamentals of LCA methodology, explore environmental impact datasets (ecoinvent, OpenLCA), and build dashboards powered by AI/ML models to automate material flow assessments, carbon footprint predictions, waste mapping, and more. Using tools such as Python, Streamlit, Power BI, Tableau, and scikit-learn, the workshop provides a hands-on experience in creating responsive, scalable, and actionable LCA visualizations.

Aim

To equip participants with the technical and analytical skills needed to design and deploy AI-enhanced Life Cycle Assessment (LCA) dashboards, enabling data-driven sustainability insights across product systems, industrial processes, and environmental management.

Course Objectives

  • Bridge sustainability science and intelligent analytics
  • Train participants to build digital decision-making tools for green innovation
  • Enable prediction and visualization of environmental impact across a productโ€™s lifecycle
  • Promote data transparency and traceability in sustainability reporting
  • Inspire innovation in smart tools for circular economy planning
Next: Syllabus โ†’

Syllabus

๐Ÿ“… Module 1 โ€“ Fundamentals of Life Cycle Assessment (LCA)

  • Introduction to LCA: Purpose and Global Relevance
  • Phases of LCA: Goal & Scope, Inventory, Impact Assessment, Interpretation
  • Standards and frameworks: ISO 14040/44, GHG Protocol
  • Types of LCA: Attributional vs. Consequential
  • Environmental impact categories: GWP, eutrophication, toxicity, etc.
  • Data collection challenges and quality indicators
  • Overview of LCA software tools: OpenLCA, SimaPro, Brightway2

๐Ÿ“… Module 2 โ€“ AI Techniques in LCA Modeling

  • Role of AI/ML in improving LCA workflows
  • Predictive modeling for life cycle inventory (LCI) data gaps
  • Clustering and classification for material/process grouping
  • AI-assisted scenario analysis and sensitivity checks
  • Feature engineering from supply chain and sensor data
  • Case examples: AI-enabled rapid LCA for products (e.g., packaging, electronics)
  • Ethical and interpretability considerations for AI in environmental decision-making

๐Ÿ“… Module 3 โ€“ Dashboard Design and Visualization for LCA

  • Introduction to data dashboards: role in decision-making and reporting
  • Tools overview: Power BI, Tableau, Dash (Plotly), Streamlit
  • Connecting LCA datasets to visualization tools (CSV, APIs, JSON formats)
  • Designing interactive dashboards: filters, metrics, maps
  • Custom KPIs: carbon footprint, water usage, toxicity index
  • Automating LCA reports using AI and dashboard frameworks
  • Hands-on case: Building a real-time AI-powered LCA dashboard prototype

Who Should Enrol?

  • Sustainability professionals and environmental consultants
  • Engineers and product designers in manufacturing, energy, and construction
  • AI/ML practitioners interested in sustainability applications
  • Researchers in environmental science, LCA, and circular economy
  • Data analysts and ESG officers

Course Outcomes

  • Gain working knowledge of LCA frameworks and best practices
  • Automate LCA workflows using AI and ML
  • Design dashboards for environmental performance monitoring
  • Translate complex data into clear, actionable sustainability metrics
  • Receive international certification in AI-enabled LCA systems
Next: Mentor โ†’

Meet Your Mentor(s)

Mentor Photo

Umapriya

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Next: Fees โ†’

Course fee

Learners in India

โ‚น2,499

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 โ†’

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

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