New Year Offer End Date: 30th April 2024
Program

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.

Skills you will gain:

About Program:

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.

Program 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.

What you will learn?

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

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

Intended For :

  • 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.

Career Supporting Skills

OT IIoT PredictiveAnalytics AIIntegration Monitoring Automation Dashboarding AnomalyDetection DigitalTwin EdgeAI

Program 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.

FREEDOM TO LEARN 10% OFF All Courses & Workshops Use Code: NANOINDIA10 ⏳ Offer Ends In: Loading... Learn Today. Lead Tomorrow. Explore Programs →
FREEDOM TO LEARN 10% OFF All Courses & Workshops Use Code: NANOINDIA10 ⏳ Offer Ends In: Loading... Learn Today. Lead Tomorrow. Explore Programs →