GreenAI Studio: Industry 5.0 & ESG Readiness Program

Program Dashboard

AI for Industry & ESG Readiness (40 Hours)
Aligned with SEBI BRSR & UNESCO AI Principles

Batch B1-2026 Active

Curriculum

8 Modules

Live Sessions

13 Sessions

Tech Focus

Edge-Native AI

ESG Focus

RegIntel 360

8-Module Structure (Hours)

Delivery Mode Split

Designed for sliding-window batch operations.

Academic & Research Partners

IIT Patna Jadavpur University CNLU Patna Dhirubhai Ambani Univ IISER Kolkata IIIT Hyderabad

Course Resource Map

Complete mapping of 20 Sessions to Datasets, Tools (RegIntel, VidhiLab), and Reference Books.

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Module Filter

Sess	Topic & Module	Type	Dataset / Tool (Clickable)	Reference Material

Policy Alignment: Edge-Native AI

Rethinking Artificial Intelligence for Low-Resource Societies.

Global Public Good Low-Energy Human-Centered

Paradigm Shift: Red AI vs Green AI

Red AI (Traditional)

Massive data centers, energy-intensive, centralized, requires continuous high-speed connectivity.

Green AI (Edge-Native)

Low-energy, works offline (Edge), privacy-preserving, accessible on mobile devices. The focus of Modules 7 & 8.

Principle of Appropriateness

"Intelligence systems should be proportional to the problem they are intended to solve."

We prioritize "Right-Sized Intelligence" — avoiding massive general-purpose models when smaller, domain-specific models suffice.

SDG Alignment

SDG 4: Quality Education SDG 9: Infrastructure SDG 13: Climate Action

Application in Curriculum

Module 7 (Edge AI): Teaching deployment on Raspberry Pi/Jetson (Low Energy) instead of relying solely on Cloud GPUs.
Module 6 (GenAI): Using RAG with small domain models (VidhiLab) rather than purely massive LLMs to reduce hallucination and compute cost.
Module 3 (ESG): Calculating the Carbon Footprint of AI models themselves.

Operational Routine

Sliding window delivery model: A new batch starts every 2 weeks.

Concurrent Batch Operations (Steady State)

Batch

W1W2W3W4W5 W6W7W8W9W10

Batch 1

Active (Weeks 1-10)

Batch 2

Starts Week 3

Batch 3

Starts Week 5

Session Type Breakdown

Pre-Recorded Theory 14 Hours
Live Theory (SME) 4 Hours
Live Labs (TA) 16 Hours
Capstone & Assessment 6 Hours

Operational Roles

Program Director (PD)

Master coordination, batch scheduling, escalation management.

Subject Matter Experts (SMEs)

Record content, deliver 3 Live Sessions (ESG, RAG, Panel), review Capstones.

Teaching Assistants (TAs)

Lead 10 Live Labs, grade assignments (5-day SLA), support on Slack.