📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI-First Predictive Maintenance for Legacy Substations, from foundations to a certified capstone project.
Outline
Identify asset types and failure modes across transformers, breakers, relays, CT/PT, batteries • Integrate SCADA, DNP3, Modbus, IED logs, DGA, thermography, vibration and PQ data • Prepare unified time‑series datasets and compute a baseline Asset Health Index
Outline
Develop anomaly‑detection models using adaptive baselines, one‑class SVMs and auto‑encoders • Create condition‑diagnostic pipelines combining DGA, partial discharge patterns and power quality correlation • Build survival‑analysis and gradient‑boosted RUL models, calibrate with SHAP explanations and cost‑sensitive metrics
Outline
Construct edge‑to‑cloud pipelines for real‑time feature streaming, model serving and drift management • Design human‑on‑the‑loop workflows: triage, suppression rules, escalation and user‑experience dashboards • Integrate alerts with CMMS/APM to generate work orders, manage spares, schedule outages and track SLA compliance
Earn government-registered certification in AI-First Predictive Maintenance for Legacy Substations
e-Certificate and e-Marksheet issued on successful completion.
