📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Compliance in Energy, from foundations to a certified capstone project.
Outline
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
Outline
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
Outline
Forecast energy demand using AI-driven models • Develop explainable AI models for grid operations • Ensure AI lifecycle compliance using MLOps best practices
Outline
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
Outline
Implement NERC CIP controls for critical infrastructure • Develop AI models for anomaly and intrusion detection • Identify AI-specific cyber-physical risks
Outline
Detect collusion and ensure market fairness using AI • Develop transparent market algorithms • Prevent anti-competitive behavior using AI
Outline
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
Earn government-registered certification in AI Compliance in Energy
e-Certificate and e-Marksheet issued on successful completion.
