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Operational Technology 2.0: Integrating AI Co-Pilots, Predictive Analytics, and Live Governance

Build smarter, safer, and more resilient industrial operations with AI co-pilots, predictive analytics, and real-time governance frameworks.

★ 4.1 (31 ratings)10–12 Jun 20268:00 PM IST3 Days (1.5 Hours Per Day)Certificate
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About This Course

Explore the next generation of Operational Technology (OT 2.0) where AI co-pilots support predictive maintenance, anomaly detection, and live governance of industrial processes. Participants will gain hands-on experience with real-time monitoring, analytics dashboards, and AI-assisted decision workflows to optimize performance and compliance.

Aim

This workshop aims to equip participants with practical skills to leverage AI co-pilots, predictive analytics, and live governance frameworks in operational technology (OT) systems. Learn how to integrate AI-driven decision-making into industrial operations for enhanced efficiency, safety, and real-time control.

Workshop Objectives

  • Understand the concepts of OT 2.0 and AI co-pilot integration.
  • Implement predictive analytics for industrial operations.
  • Monitor OT systems in real-time using AI dashboards and governance tools.
  • Detect and mitigate anomalies in industrial processes.
  • Integrate AI workflows for optimization, compliance, and operational safety.
Next: Day-by-day →

Workshop Structure

DAY 1: The AI Co-Pilot & Prompt Architecture

  • Foundations of LLMs in Operational Technology (OT)
  • Hands-on: Querying telemetry data and parsing raw error logs in OpenAI Playground
  • Frameworks for role-based and few-shot prompt engineering
  • Hands-on: Building a custom troubleshooting bot using Flowise/OpenAI GPTs

Day 2: Module 3: No-Code Machine Learning for Predictive Maintenance

  • Supervised vs. unsupervised learning in industrial asset management
  • Hands-on: Training a failure classification model using BigML/MindsDB
  • Interpreting confusion matrices, model accuracy, and false positives
  • Hands-on: Running predictive regressions on energy and supply chain costs via Julius AI
  • Simulating production pivots and generating automated trend charts

Day 3: AI Governance, Risk & Stress-Testing, Privacy & The “Black Box” Problem

  • Data sovereignty: Public vs. local/hybrid AI deployments
  • Hands-on: Prompt injection, red-teaming, and vulnerability testing via Giskard/Vellum
  • Techniques for ensuring explainability in automated decision-making
  • Designing Human-in-the-Loop (HITL) validation checkpoints
  • Hands-on: Constructing an agile AI Risk & Audit Dashboard in Airtable

Who Should Enrol?

  • Engineers, professionals, and students in Industrial Automation, IoT, AI/ML, Data Analytics, Electrical/Mechanical Engineering.
  • Professionals working in OT, smart manufacturing, industrial IoT, utilities, or process control.
  • Data scientists and AI engineers interested in AI applications in operational systems.
  • Individuals seeking to integrate predictive analytics and AI governance into OT environments.
Next: Dates →

Important Dates

Registration Ends

June 10, 2026
IST 7:00 PM IST

Workshop Dates

June 10, 2026 – June 12, 2026
IST 8:00 PM

Workshop Outcomes

  • Gain hands-on experience integrating AI co-pilots in OT systems.
  • Learn to apply predictive analytics and anomaly detection in industrial workflows.
  • Understand real-time monitoring and governance frameworks.
  • Develop skills for optimization, safety, and compliance in OT 2.0 environments.
  • Be prepared for roles in smart manufacturing, industrial AI, and OT digital transformation.
Next: Fees →

Recording fee

Participants in India

₹2,499

Participants outside India

$50

  • All session recordings
  • Study material
  • Certificate after completion
  • 1-year access

Get the recording

The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
 WhatsApp +91 99581 61117

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