AI-Powered ESG Strategy and Analytics

Build in-demand skills with a full year of Coursera Plus, now $239. Save now.

AI-Powered ESG Strategy and Analytics

Instructor: TSV Learning

Included with Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Evaluate AI-powered ESG analytics, carbon monitoring, and resource optimization to assess corporate sustainability performance.
Analyze machine learning applications in environmental sustainability, workforce equity, and social impact to identify business improvements.
Assess automated ESG auditing, climate risk models, and explainable AI to support transparent, compliant, and responsible governance.

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 2 modules in this course

Transform ESG strategy with AI-powered analytics, carbon intelligence, and automated sustainability governance to support responsible business decisions.

Designed for sustainability professionals, ESG analysts, corporate risk managers, and business leaders, this course explores how artificial intelligence, machine learning, and predictive analytics improve environmental, social, and governance (ESG) performance. You'll examine AI-driven ESG frameworks, carbon emissions monitoring, renewable energy optimization, water conservation, biodiversity analytics, and sustainable logistics. Discover how AI supports workforce equity, financial inclusion, employee wellbeing, and ethical supply chains. Explore automated ESG auditing, ESG data lakes, regulatory reporting, and climate risk modeling to assess sustainability risks and compliance. Learn how explainable AI, algorithmic fairness, and human oversight strengthen transparency and accountability. By the end of this course, you'll be able to evaluate AI-driven ESG solutions, interpret sustainability insights, assess environmental and social risks, and recommend data-driven ESG improvements. What makes this course distinctive is its integrated focus on environmental intelligence, social equity, predictive risk analytics, and responsible AI governance, helping you make informed sustainability decisions.

Explore AI-powered ESG analytics, carbon monitoring, and environmental sustainability optimization. Examine machine learning applications in energy management, water conservation, biodiversity, sustainable logistics, workforce equity, and social impact to support measurable sustainability outcomes.

What's included

5 videos3 assignments

5 videosTotal 33 minutes

Introduction to Algorithmic ESG6 minutes
ESG Monitoring and Carbon Analytics6 minutes
AI for Environmental Sustainability6 minutes
AI for Energy and Workforce Equity7 minutes
AI for Social Impact and Inclusion7 minutes

3 assignmentsTotal 50 minutes

AI-Driven ESG Analytics and Sustainable Impact30 minutes
Foundations of Algorithmic ESG and Carbon Intelligence10 minutes
AI for Environmental Sustainability and Social Equity10 minutes

Examine automated ESG auditing, regulatory compliance, ESG data lakes, and predictive risk analytics. Evaluate explainable AI, algorithmic fairness, climate risk models, and emerging technologies to strengthen corporate governance, transparency, and responsible sustainability decisions.

What's included

4 videos3 assignments

4 videosTotal 35 minutes

Automated ESG Auditing and Governance9 minutes
ESG Data Lakes and Risk Models9 minutes
Explainable AI for ESG Governance8 minutes
The Future of Algorithmic ESG9 minutes

3 assignmentsTotal 50 minutes

Intelligent ESG Governance and Future Innovation30 minutes
Automated ESG Auditing and Risk Analytics10 minutes
Explainable AI and the Future of ESG Governance10 minutes

Instructor

TSV Learning

The Skill Valley

83 Courses544 learners

Offered by

The Skill Valley

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Give yourself skills that last, now $239
Save now
Gift your team new skills
Save 40% now

Frequently asked questions

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.