Empowering Legacy Substations with AI-Driven Predictive Maintenance: From Data Foundations to Smart, Scalable Operations
The AI-First Predictive Maintenance for Legacy Substations workshop teaches professionals to apply AI and machine learning for modernizing substation maintenance. Over three days, participants will learn to integrate data, build anomaly detection and RUL models, and deploy AI solutions with CMMS/APM integration, improving asset health, operational efficiency, and decision-making with measurable ROI.
This workshop aims to equip participants with the skills to implement AI-driven predictive maintenance for legacy substations, covering data integration, anomaly detection, RUL modeling, and deployment of end-to-end solutions for improved asset management and operational efficiency.
Understand AI-driven predictive maintenance for legacy substations
Learn data integration from SCADA, DNP3, Modbus, and other sources
Build anomaly detection models and Remaining Useful Life (RUL) predictions
Deploy AI solutions via edge-to-cloud pipelines for real-time monitoring
Integrate predictive maintenance with CMMS/APM systems for efficient asset management
Apply cybersecurity practices in AI solutions
Implement scalable AI-powered maintenance systems for improved efficiency and ROI
📅 Day 1 – Foundations & Data Enablement
📅 Day 2 – Diagnostics, RUL & Risk
📅 Day 3 – Deployment & Operations
Engineers and maintenance managers in power distribution and substation operations
Asset management professionals seeking to enhance predictive maintenance strategies
Data scientists interested in applying AI/ML to industrial systems
Professionals with a background in electrical engineering, industrial maintenance, or data science
Individuals looking to implement AI-driven solutions in legacy substation systems
Basic understanding of data handling and machine learning concepts is beneficial, but not mandatory
AI-ready dataset for predictive maintenance of legacy substations
AI-driven diagnostics and Remaining Useful Life (RUL) models for asset prioritization
Practical experience in anomaly detection, RUL modeling, and risk management
Deployment of end-to-end predictive maintenance pipelines (edge-to-cloud)
Integration of AI solutions with CMMS/APM systems for efficient work order management
Measurable improvements in asset health, operational efficiency, and ROI
A production-ready system with human oversight and cybersecurity compliance
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
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