Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
In this hands‑on, three‑day course, you'll learn to automate carbon footprint analysis using Python and Life Cycle Assessment (LCA). Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
In this hands‑on, three‑day course, you'll learn to automate carbon footprint analysis using Python and Life Cycle Assessment (LCA).
📋 Course Objectives
1. Put AI Enablement techniques to work on real datasets and case studies.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
🚀 Key Learning Outcomes
• A portfolio-grade AI Enablement deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – Python Basics and LCA Data Preprocessing
Set up Anaconda, Jupyter and essential libraries (Pandas, NumPy, Matplotlib) • Import, clean and preprocess LCA datasets (CSV, Excel, JSON) • Visualize emissions and energy data with bar, line, pie and scatter charts
Day 2 – Automating LCA Calculations and Data Aggregation
Write Python functions to calculate carbon, energy and water footprints • Group, aggregate and summarize LCA results by product and lifecycle stage • Optimize scripts for performance and troubleshoot large‑dataset issues
Day 3 – Advanced Visualization, Reporting & Real‑World Applications
Create heatmaps, stacked bar charts and multi‑line graphs for deep insights • Automate generation of PDF/Excel reports and interactive dashboards • Apply LCA automation to manufacturing, energy and product‑design case studies
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Anaconda |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Pandas |
| Covered Tool / Platform | NumPy |
| Covered Tool / Platform | Matplotlib |
| Covered Tool / Platform | Google Colab |
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