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AI for Industrial

Industrial AI training for manufacturers — predictive maintenance, quality, energy optimization, document intelligence, and conversational operations. Built on real plant deployments.

Manufacturing & Plant Ops2-3 Days20-100 participantsOnsiteVirtualHybrid

Overview

Generic AI training does not work on the production floor. This program is built specifically for manufacturing and process industries — paper, cement, textile, auto, chemicals, metals, pharma manufacturing, and food processing. Every module uses real plant scenarios: predictive maintenance on a kiln, defect detection on a line, RAG over equipment manuals, conversational analytics on production data. Anchored in MillMind — AI Guru's paper-mill operations AI built for JMC Paper Tech and in production today.

What You'll Walk Away With

Identify and prioritize top 5 industrial AI use cases for your specific plant or factory

Understand OT/IT integration patterns and plant cybersecurity requirements for AI

Evaluate AI vendors and solutions against operational KPIs (uptime, yield, energy, defect rate, OEE)

Build a 12-month industrial AI roadmap with phased deployment and measurable milestones

Curriculum

01

Industrial AI Landscape

Where AI delivers ROI on the production floor — and where it does not. Indian manufacturing context, OT/IT separation, and the realities of plant data

02

Predictive Maintenance & Reliability

Time-series models on sensor data, failure prediction, integration with CMMS and SCADA, and measurement against MTBF / OEE

03

Quality Control & Vision AI

Computer vision for line-side defect detection, RCA on quality incidents, and how to design quality AI that operators actually use

04

Document & Manual Intelligence

RAG over equipment manuals, SOPs, and historical reports. The MillMind pattern: turning 30-minute manual searches into 1-minute answers

05

Conversational Operations

Natural-language interfaces for operators and managers. Voice and chat patterns proven on real mill and plant deployments

06

Industrial AI Governance & Safety

Safety oversight, OT/IT separation, audit evidence, and plant cybersecurity. Designing AI that fits existing plant compliance regimes

Who Should Attend

  • VP Operations, Plant Heads, and Manufacturing Excellence leaders
  • Quality, Maintenance, and Reliability teams
  • Manufacturing IT and OT integration teams
  • Process engineers and production planning leads
  • Plant safety and EHS teams evaluating AI

Prerequisites

Manufacturing or plant-operations experience — no technical AI background needed

What's Included

2-3 days of instructor-led training (6 hours/day)
Industrial AI Use Case Library (40+ scenarios across 8 sectors)
AI Vendor Evaluation Scorecard for industrial deployments
OT/IT Integration Reference Patterns
Certificate of completion
60-day post-training support

Industries We've Delivered This For

Paper & PulpCementTextileAutomotiveChemicalsMetalsPharma ManufacturingFood Processing

Pricing

Starting from ₹4,00,000

Volume discounts for 50+ participants. All prices exclude GST. TDS compliant.

Request a ProposalWhatsApp UsSchedule a Call

Quick Facts

Duration2-3 Days
Group Size20-100 participants
FormatOnsite, Virtual, Hybrid
CertificateYes
LanguageEnglish

Start with a Pilot

Not ready to commit? Run a pilot batch of 20-50 participants, measure results, then scale with confidence.

AI Guru Labs

Learn from systems we've built

This program uses real case studies from our 20 production AI products across 9 industries.

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