About the Life Cycle Assessment Course
Program Highlights
Course Curriculum
Module 1: Module 1 – Digital LCA Foundations & Open‑Source Workflows
- Understand the core phases of Life Cycle Assessment and its role in ESG reporting
- Explore open‑source LCA platforms such as openLCA and public datasets
- Visualize environmental impact data with Python libraries (Pandas, Matplotlib, Plotly)
Module 2: Module 2 – AI‑Powered Carbon Prediction & Hotspot Analysis
- Build machine‑learning models to predict carbon footprints and energy demand
- Conduct hotspot, sensitivity, and scenario‑based LCA analyses
- Evaluate uncertainty and interpret results for sustainable decision‑making
Module 3: Module 3 – Sustainability Dashboards, ESG Reporting & Decision‑Support
- Design interactive dashboards for LCA and ESG metrics using Streamlit
- Integrate LCA outputs into carbon disclosure and sustainability communication
- Implement AI‑enabled decision‑support systems for product‑design and policy scenarios
Tools, Techniques, or Platforms Covered
GLAD
Public LCA Dataset
Google Colab
Python
Pandas
Matplotlib
Plotly
Scikit-learn
Brightway
Real-World Applications
- Apply Life Cycle Assessment and Environmental Impact Intelligence skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical sustainability competencies
- Solve industry-relevant problems using Life Cycle Assessment and Environmental Impact Intelligence methodologies and tools
- Contribute to open-source projects and collaborative research in sustainability
- Prepare for competitive examinations, interviews, and professional certifications in sustainability
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheets from NSTC
- Hands‑on training with practical projects and industrial datasets
- Dedicated expert mentorship and doubt resolution
Prerequisites:







