Programme Parameters
Advanced Postgrad
6 Weeks (60 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
The AI Compliance in Energy program is a 6-week interdisciplinary training that equips participants with the knowledge and tools to align AI applications in the energy sector with global regulatory standards. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The AI Compliance in Energy program is a 6-week interdisciplinary training that equips participants with the knowledge and tools to align AI applications in the energy sector with global regulatory standards.
📋 Course Objectives
1. Put AI in Energy & Utilities techniques to work on real datasets and case studies.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI in Energy & Utilities
• R&D engineers and working professionals applying AI in Energy & Utilities in industry
• Academics and educators building research or teaching capacity in AI in Energy & Utilities
🚀 Key Learning Outcomes
• Tangible, reproducible AI in Energy & Utilities work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Introduction to AI & Regulatory Landscape in Energy
Define the scope of AI in power systems, utilities, and grid operations • Analyze examples of AI use in generation, distribution, demand response, and DERs • Examine the global regulatory landscape, including the EU AI Act and national AI regulations
Standards & Governance Frameworks
Implement ISO/IEC 42001 for AI management in utilities • Develop data governance principles for energy AI systems • Build trustworthy AI models using explainability, fairness, and transparency principles
Smart Grid Stability & AI Model Assurance
Forecast energy demand using AI-driven models • Develop explainable AI models for grid operations • Ensure AI lifecycle compliance using MLOps best practices
Carbon Accounting & AI
Automate GHG tracking and reporting using AI • Design AI models for emissions forecasting • Integrate ISO 14064-2 for measuring and verifying AI-enabled emissions reductions
Cybersecurity & Critical Infrastructure Protection
Implement NERC CIP controls for critical infrastructure • Develop AI models for anomaly and intrusion detection • Identify AI-specific cyber-physical risks
AI in Energy Markets – Fairness, Bias & Collusion
Detect collusion and ensure market fairness using AI • Develop transparent market algorithms • Prevent anti-competitive behavior using AI
Resilience & Incident Management for AI Systems
Develop incident response plans for AI failures and cybersecurity breaches • Ensure AI-enabled DERMS and grid resilience • Establish a legal and liability framework for AI-driven decisions
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | ISO/IEC 42001 |
| Covered Tool / Platform | NERC CIP |
| Covered Tool / Platform | AI models |
Frequently Asked Questions
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