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Generative AI for Sustainability Reporting

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Generative AI for Sustainability Reporting

Course Code: C1311

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What's This Course About

Generative AI for Sustainability Reporting shows you how to use generative AI to streamline and strengthen the sustainability reporting process, from collecting and analysing ESG data to drafting, reviewing and presenting credible reports. Sustainability reporting is increasingly mandatory and complex, demanding data from across the organisation and alignment with frameworks such as GRI, ISSB and TCFD; AI can reduce the manual effort while improving consistency and insight. The course is designed for sustainability and ESG professionals, finance and compliance teams, and managers involved in reporting.

You will start with an introduction to AI for sustainability reporting, understanding reporting requirements and frameworks, where generative AI tools such as ChatGPT, Claude and Microsoft Copilot fit into the reporting cycle, and how to prompt them effectively. Next you will use AI for sustainability data analysis and reporting, organising and analysing emissions, energy, social and governance data, identifying trends and gaps, and drafting report sections, metrics tables and narratives aligned to your chosen framework.

The final topic covers AI-assisted report review, compliance and presentation, using AI to check disclosures against framework requirements, improve clarity and consistency, identify unsupported claims and greenwashing risks, and prepare presentations and summaries for stakeholders. Throughout the course you will learn to verify AI output and keep accountability with people. Every exercise is hands-on. By the end, you will be able to use generative AI to produce sustainability reports more efficiently and with greater confidence.

HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Introduction to AI for Sustainability Reporting

Topic 2: AI-Assisted Sustainability Data Analysis and Report Development

Topic 3: AI-Assisted Report Review, Compliance and Presentation

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • ESG Program Director
  • Chief Sustainability Strategist
  • Circular Economy Specialist
  • Environmental Compliance Manager
  • Sustainability Reporting Analyst
  • ESG Data Verification Specialist
  • Carbon Reduction Consultant
  • Corporate Policy Advisor (Sustainability)
  • Global Sustainability Standards Auditor
  • Stakeholder Engagement Manager
  • Sustainable Supply Chain Manager
  • Sustainability Communication Director
  • ESG Strategy Advisor
  • Regulatory Compliance Specialist
  • Decarbonization Project Manager
  • Environmental Risk Manager
  • Circular Design Consultant
  • Sustainability Performance Analyst
  • Climate Change Consultant
  • ESG Benchmarking Analyst

Trainers

Trainers

Turning scattered data into a clear, defensible report is a recurring theme in the work of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer. As Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, Dr. Ang designs and builds complete solutions end to end, covering front ends, back ends, databases, cloud deployment and native mobile apps. Several projects in the portfolio deal with collecting operational data and presenting it responsibly. Dr. Ang built an ERP prototype on Next.js and Postgres where purchase orders flow through human-in-the-loop approvals and invoices are three-way matched, giving an auditable trail of every decision. An HR and accounting platform tracks attendance, leave, payroll and expense claims for the academy, while an AI-powered learning and training management system automates records, compliance workflows and reporting through AI agents. On the presentation side, Dr. Ang has built single-file dashboards with colour-coded statuses and KPI tiles, an interactive carbon-readiness scorecard for a sustainability consultancy website, and an AI-powered CMS on the Claude Agent SDK that drafts long-form content consistently. Claude-powered document generators that assemble structured proposals and course documents show the same discipline that good sustainability reporting needs: consistent templates, traceable sources and human review before anything is published. All of this sits in a public portfolio of more than 300 repositories on GitHub. Dr. Ang's habit of keeping every figure tied to its source carries straight into the classroom.

Generative AI for Sustainability Reporting draws directly on that experience of combining data, AI drafting and governance. Dr. Ang opens with an introduction to how AI fits into the reporting cycle, why sustainability disclosures are becoming more demanding, and which tasks AI handles well, such as summarising policies, extracting figures from documents and structuring narrative sections, versus tasks that still require expert judgement. In the second topic, learners use AI to analyse ESG data, spot gaps and inconsistencies, calculate simple indicators and develop report sections from a clear outline, with every number traced back to its source. The third topic focuses on AI-assisted review, compliance and presentation: checking drafts against the requirements of a chosen reporting framework, testing claims for greenwashing risk, tightening language for different audiences and turning findings into charts and slide summaries for management. Dr. Ang teaches through guided practice with realistic sample datasets and policy documents, showing each prompt, explaining why it works and inviting learners to improve it. Considerable attention goes to verification, data privacy and documenting how AI was used, reflecting the approval checkpoints Dr. Ang builds into business systems. Participants leave with reusable prompts, a structured reporting workflow and the confidence to use AI to make reporting faster without making it any less credible to auditors, regulators or stakeholders. Group reviews of each other's draft sections help learners spot weak claims early. To see the data, dashboard and document automation projects that inform this course, visit Dr. Ang's portfolio at https://github.com/alfredang

Review

Customer Reviews (5)

Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 08/06/2026)
Great practical training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 23/01/2025)
Superb training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 17/12/2024)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 02/12/2024)
Exceeded my expectations Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 07/07/2024)

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