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GenAI for ESG and Sustainability Reporting
Rating: 4.5 out of 5(65 ratings)
249 students

GenAI for ESG and Sustainability Reporting

ESG Reporting with FREE AI Tool | Learn By doing | Elevate your ESG career
Last updated 4/2026
English

What you'll learn

  • Understand the core ESG and sustainability frameworks — ESRS, GRI, TCFD, SASB, and CDP — and how they align with global reporting mandates.
  • Apply AI tools like CarbonOps to automate ESG data collection, double materiality assessment, and sustainability disclosure generation.
  • Analyze and interpret sustainability performance using AI-driven insights, KPIs, and impact metrics across E (Environment), S (Social), and G (Governance) pilla
  • Design a digital ESG reporting workflow integrating frameworks and AI reasoning for corporate or consulting projects
  • Map ESG topics to SDGs, material issues, and value chain stages with practical, hands-on labs and AI-assisted exercises.
  • Gain practical knowledge to audit or build ESG/CSRD-ready reports using structured methodologies and AI automation.

Course content

9 sections40 lectures6h 54m total length
  • Course Introduction4:41

Requirements

  • No Prior Experience Needed

Description

The world of sustainability reporting is changing fast — driven by global frameworks like ESRS, GRI, SASB, TCFD, and CDP, and powered by the rise of Artificial Intelligence.
This course bridges those two worlds — teaching you how to leverage AI-driven tools to automate ESG data management, materiality assessment, and sustainability disclosures.

You’ll start by understanding the core concepts of ESG and sustainability reporting, including how each major framework structures its metrics and disclosures. Then, you’ll explore how AI can accelerate compliance and decision-making — from identifying material topics to mapping SDGs and analyzing value-chain impacts.

Through hands-on labs using CarbonOps, you’ll learn how to use AI to:

  • Generate sustainability narratives aligned with ESRS and GRI.

  • Conduct double materiality analysis with data-driven reasoning.

  • Create SDG mappings, TCFD-aligned risk assessments, and disclosure summaries automatically.

  • Audit ESG data quality and streamline organizational reporting workflows.

By the end of this course, you’ll be able to design and implement AI-enabled ESG reporting systems — ready to support real-world corporate sustainability teams or consulting projects.
Whether you’re a sustainability professional, consultant, student, or founder, this course gives you the practical edge, confidence, and technical clarity to lead in the new era of AI-powered ESG transformation and digital sustainability leadership.

Who this course is for:

  • Sustainability and ESG professionals looking to integrate AI and automation into their ESG and CSRD reporting processes.
  • Consultants and auditors working with frameworks like ESRS, GRI, SASB, TCFD, and CDP who want to enhance efficiency and insight generation.
  • Corporate ESG teams aiming to streamline double materiality assessments, SDG mappings, and disclosure creation with AI.
  • Students and early-career professionals in environmental science, business, or data analytics who want to build practical ESG-tech skills.
  • Founders or sustainability startups exploring AI-powered ESG reporting and digital compliance solutions.