Sustainability & Innovation Excellence for Leaders

Training Provider: SERVICE QUALITY CENTRE PTE. LTD.
Course Reference: TGS-2026062140
S$1,050
Original: S$2,100
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About This Course

This course is designed for intermediate to advanced level learners, particularly engineering leaders, sustainability professionals, technical managers, and decision-makers who want to leverage Generative AI to drive sustainable engineering solutions across their organisations. Whether you are leading engineering teams, managing sustainability initiatives, or making strategic decisions on green technologies, this course equips you with the essential competencies to integrate international sustainability frameworks, conduct rigorous life cycle assessments, and develop financially viable sustainability strategies.

You will learn to apply Generative AI tools to analyse sustainability data, optimise engineering solutions across waste management, water systems, energy efficiency and emissions control, and communicate sustainability performance effectively to stakeholders. Through hands-on case studies, role-play scenario, and AI-powered analysis, you will develop critical thinking, change management, and collaboration skills to translate complex sustainability frameworks into actionable strategies that position your organisation at the forefront of sustainable innovation.

What You'll Learn

Learners will integrate international sustainability standards including Sustainable Development Goals (SDGs), Environmental, Social and Governance (ESG) frameworks, and Global Reporting Initiative (GRI) to guide organisational strategies, apply Life Cycle Assessment (LCA) methodology and Circular Economy principles using Generative AI tools, and design integrated solutions across waste management, water systems, energy efficiency, and emissions control. They will learn how to collaborate with subject matter experts to integrate Urban Harmony, Tropicality, Acoustics, and Smart Building Design strategies for sustainable environments, evaluate sustainability performance against audit and reporting standards using AI insights, and demonstrate leadership communication skills to effectively engage diverse stakeholders.

Learners will assess and propose optimal solutions through Cost Benefit Analysis (CBA) and Return on Investment (ROI) modelling to develop comprehensive project plans for sustainability initiatives. They will leverage Generative AI to analyse sustainability data, optimise engineering solutions, ensure adherence to international and local regulatory requirements, and prepare audit-ready sustainability reports. Throughout the course, learners will apply critical thinking and change management skills to translate complex sustainability frameworks into actionable strategies that balance environmental performance, financial viability, and operational excellence.

This course will cover:
LU1: Strategic Sustainability Fundamentals
LU2: Life Cycle Assessment for Engineering Solutions
LU3: Integrated Engineering Solutions for Sustainability
LU4: Sustainable Design and Expert Collaboration
LU5: Sustainability Audit, Reporting and Compliance
LU6: Financial Evaluation and Project Plan for Sustainability Solutions.

Entry Requirements

Learners must meet the following pre-requisites:
1. Education Level:
a. Demonstrate English language proficiency equivalent to or higher than Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 5, including the ability to speak, listen, read, and write effectively.
b. Demonstrate numeracy proficiency equivalent to or higher than ES WSQ Workplace Numeracy (WPN) Level 5.
c. Hold a Polytechnic Diploma or equivalent or higher qualification.
2. Work Experience:
a. Possess a minimum of 1 year of working experience at supervisory level or above.

* Should learners not sure to meet the minimum pre-requisites, SQC will conduct screening / interview sessions to further ascertain the learners' suitability.

Course Details

Duration 24 hours
Language English
Training Commitment Full Time and Part Time
Total Enrolled New course
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