Where ambition meets direction
This integrated program builds a structured understanding of responsible AI, data judgment, and ESG governance in modern organisations.
It connects ethical AI use with sustainability regulation, stakeholder accountability, and board level oversight.
Learners progress from governing AI systems to designing ESG frameworks, disclosures, and assurance ready reporting structures.
The course emphasizes disciplined judgment, regulatory awareness, and institutional responsibility.
Focus remains on credibility, governance, and long term organisational trust.
This course includes 7 modules delivered over 15 weeks.
Module: Responsible AI, Governance & Accountability
Module: Data Judgment & Information Integrity
Module: ESG Governance, Ethics and Board Accountability
Module: Global Sustainability Regulations & Liability
Module: Stakeholder Capitalism and Impact Measurement
Module: ESG Frameworks and Disclosure Architecture
Module: ESG Reporting Assurance & Audit Readiness
The course includes a Live academic sessions will be conducted every alternate Wednesday, aligned with the course modules, throughout the duration of the program. These discussion-based sessions focus on real world governance challenges, regulatory interpretation, and responsible AI and ESG practices in professional environments.
On successful completion, learners receive a shareable certificate issued by Leaders Path based on the certification requirements of the program.
A very insightful and well structured course that helped me better understand Responsible AI, ESG, and ethical governance in a practical business context. I particularly appreciated the focus on how organizations can embrace AI innovation while maintaining transparency, accountability, and responsible decision making. A valuable learning experience for professionals navigating today’s evolving AI landscape.
This course gave me a clear understanding of Responsible AI, ESG, and the importance of ethical governance. The practical insights helped me understand how organizations can adopt AI responsibly while balancing innovation, transparency, and accountability.
