📚 Syllabus & Course Curriculum
Environmental Science & Sustainability
Module-by-module breakdown of AI for LCA Automation: Real-Time Data, NLP & Predictive Impact Modeling, from foundations to a certified capstone project.
Outline
Automate extraction of material flows from unstructured technical texts using NLP. • Standardize units and nomenclature via Python logic. • Build scalable databases ready for LCA software integration. • Implement a hands‑on project – Automated Material Parser with spaCy.
Outline
Connect LCA models to live data feeds via open‑source APIs. • Create temporal impact assessments that reflect regional grid mixes. • Design interactive ESG dashboards with Plotly. • Hands‑on Project – Real‑Time Carbon Dashboard using Pandas & Plotly.
Outline
Develop regression models to forecast GWP of new products. • Generate AI‑based material substitution recommendations. • Run sensitivity and risk analysis for future carbon‑tax scenarios. • Hands‑on Project – ‘What‑If’ Scenario Predictor with Scikit‑Learn.
Earn government-registered certification in AI for LCA Automation: Real-Time Data, NLP & Predictive Impact Modeling
e-Certificate and e-Marksheet issued on successful completion.
