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Automated Impact Reporting: LCA & Generative AI

Using Large Language Models (LLMs) to Streamline ESG Compliance and Sustainability Reporting.

★ 4.1 (31 ratings)25–27 Feb 20265:30 PM IST3 Days (60-90 Minutes each day)Certificate
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About This Course

This workshop will delve into the synergy between Life Cycle Assessment (LCA) and Generative AI to automate and optimize impact reporting. Participants will gain hands-on experience with advanced AI tools that streamline the environmental impact assessment process, offering valuable insights into sustainability practices.

Aim

The aim of this workshop is to explore the integration of Life Cycle Assessment (LCA) with Generative AI to automate impact reporting. Participants will learn how AI-driven tools can enhance the accuracy and efficiency of environmental impact assessments.

Workshop Objectives

  • Understand LCA principles and their role in sustainability.
  • Learn how Generative AI enhances LCA and automates impact reporting.
  • Apply AI tools to real-world scenarios for optimized environmental decision-making.
  • Explore AI-driven systems for scaling environmental impact assessments across industries.
Next: Day-by-day →

Workshop Structure

Day 1: The Foundation – Data, Frameworks, and APIs

  • Sustainability reports: GRI, ISO 14040
  • Understanding APIs and LLMs
  • AI security and privacy practices

Hands-on Lab

  • Setting up Google Colab and securing API keys
  • Loading sample data (facility_emissions.csv)
  • Making the first API call with Python

Day 2: The Logic – Prompt Engineering & LangChain

  • System vs. user prompts
  • Preventing hallucinations and grounding AI
  • Introduction to LangChain

Hands-on Lab

  • Crafting and injecting prompts with data
  • Testing and refining AI responses for compliance

Day 3: The Insight – Batch Processing & Document Output

  • Automating repetitive tasks with loops
  • Structuring reports and human-in-the-loop review

Hands-on Lab

  • Automating data processing in Python
  • Generating and exporting reports in Markdown

Who Should Enrol?

  • Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
  • Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
  • University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
  • Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
  • Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Next: Dates →

Important Dates

Registration Ends

February 25, 2026
IST 04:30 PM

Workshop Dates

February 25, 2026 – February 27, 2026
IST 5:30 PM

Workshop Outcomes

  • Apply GRI/ISO 14040 to real data

  • Secure APIs + run Python calls in Colab

  • Write grounded prompts, reduce hallucinations

  • Use LangChain for compliant workflows

  • Batch-process data and export Markdown reports

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. 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

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?

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

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