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AI in Industrial Automation: 5-Day Live Online Course for Manufacturing Professionals.

Learn how AI supports production, quality, and maintenance through a practical factory case study. Five live sessions, five hours, no coding required.

By Raju Karibandi, Co-Founder of Vinamraa Solutions

AI in Industrial Automation course flyer: five daily sessions, paid training 16–20 November, trainer Raju Karibandi, early bird $69 with promo code AI-69

16–20 November 2026

Five sessions. Five hours. No code.

$99$69early bird

Code AI-69 at checkout

Free Demo Sessions

Thu, Nov 12, 2026 · 5:00 – 6:00 PM PSTFri, Nov 13, 2026 · 6:30 – 7:30 AM IST
Fri, Nov 13, 2026 · 7:00 – 8:00 AM PSTFri, Nov 13, 2026 · 8:30 – 9:30 PM IST

Five daily live sessions of 60 minutes each
Guided materials and workbook
No coding or live equipment required
Certificate of completion

Course fact box

Format: Live online, five sessions on one fictional biscuit factory
Duration: 5 hours — five sessions of 60 minutes, 16–20 November 2026
Session times: 5:00–6:00 PM PT (USA) · 8:00–9:00 PM ET (USA) · 6:30–7:30 AM IST the next morning (India) · 5:00–6:00 AM GST the next morning (Gulf)
Free sessions: 12 November 2026, 5:00–6:00 PM PST (8:00–9:00 PM EST · 13 November, 6:30–7:30 AM IST) and 13 November 2026, 7:00–8:00 AM PST (10:00–11:00 AM EST · 8:30–9:30 PM IST)
Program price: $99, or $69 early bird with code AI-69 at checkout
Trainer: Raju Karibandi, Co-Founder of Vinamraa Solutions — 35+ years in industrial automation, SAP and IT
Not a PLC course: This is a no-code AI course. PLCs, control loops and interlocks are explained on Day 2, but PLC programming is not taught
Included: 56-slide deck, instructor guide and workbook. No coding, live equipment or paid AI account required

Learning outcomes

By the end of this AI in industrial automation course you will be able to take a real production problem, check the data behind it, and propose an AI-supported response that your plant can actually run.

1Map a production process and explain where the real constraint sits.
2Separate automation, digital transformation and AI — and place an AI assistant inside a controlled workflow.
3Turn existing production records into a validated shift review with traceable evidence.
4Evaluate a quality model before deployment, and plan a feasible production sequence.
5Design a controlled improvement trial and read the result honestly.
6Propose a scoped pilot that connects production, quality and maintenance records.

The factory you will work on

Every session runs on one fictional biscuit factory — ingredients staged, weighed and mixed, formed and baked, cooled, inspected and packed, with maintenance, cleaning, utilities and shift records alongside. Nothing runs on live equipment: you work from the factory's process, records and reports, so the same reasoning transfers to your own plant.

A no-code AI course — not a PLC programming course

Both sit on the same shop floor, which is why they get confused. This program teaches you to use AI and existing plant data to improve production, quality and maintenance decisions. It does not teach you to program the machines.

What this course is

An Industry 4.0 training online program on using AI with existing plant data.
Practical AI for manufacturing training: production, quality, maintenance and reporting.
No-code work with records, spreadsheets and AI assistant tools.
A one-hour session a day, built around a single factory case study.

What it is not

Not PLC programming, ladder logic or SCADA configuration.
Not HMI design, commissioning or control-panel work.
Not a machine-learning engineering or model-building course.
Not a vendor software certification.

Five-day curriculum

Each session blends teaching, practice and review within 60 minutes. Every day ends with a worksheet and exit ticket, and the final project builds on each day's work.

Day1

Factory processes and digital transformation

Map the biscuit production process, distinguish automation, digital transformation and AI, and identify a theoretical bottleneck on the line.

Shop-floor boundaryStaging, weighing & mixingForming & bakingCooling, inspection & packingLocating the constraint

Learner output

Process map and bottleneck explanation

Day2

Automation and AI-assisted workflows

Explain measurement, control and interlocks, then design an accountable automation sequence alongside an AI-assisted response.

Measurements & physical actionsPLCs & control loopsSequences, permissives & interlocksAlarms & event recordsAI assistant within a workflow

Learner output

Automation and assistant workflow

Day3

Analytics and reporting from existing data

Validate records, calculate shift measures, and draft a factual review with traceable evidence and missing-data questions.

Measurement contextData checks before analysisProduction measures & denominatorsThree shifts on the same lineAI-assisted reporting with evidence

Learner output

Calculated shift review

Day4

AI for quality and production planning

Evaluate quality-model errors and compare feasible production sequences under changeover and maintenance constraints.

Rules, prediction & language assistanceEvaluation before deploymentDefect detector evaluationPlanning within plant constraintsFeasible production sequence

Learner output

Quality evaluation and production schedule

Day5

Process improvement, connected platform and pilot project

Run a controlled improvement trial, connect production, quality and maintenance records, then propose a limited pilot with ownership, evaluation and fallback.

Loss investigation & controlled trialTrial interpretationOne unified AI platform for operationsPilot scope & acceptanceOne-page proposal & presentations

Learner output

Trial evaluation and one-page integrated improvement proposal

Day-by-day learning outcomes

Six-day curriculum with the learning outcome for each day
Day	Session focus	Learning outcome
1	Factory processes and digital transformation	Map the biscuit production process, distinguish automation, digital transformation and AI, and identify a theoretical bottleneck on the line.
2	Automation and AI-assisted workflows	Explain measurement, control and interlocks, then design an accountable automation sequence alongside an AI-assisted response.
3	Analytics and reporting from existing data	Validate records, calculate shift measures, and draft a factual review with traceable evidence and missing-data questions.
4	AI for quality and production planning	Evaluate quality-model errors and compare feasible production sequences under changeover and maintenance constraints.
5	Process improvement, connected platform and pilot project	Run a controlled improvement trial, connect production, quality and maintenance records, then propose a limited pilot with ownership, evaluation and fallback.

Who should attend

This AI for plant engineers and manufacturing teams is built for people who own production, quality or maintenance outcomes — not for developers. Basic AI awareness is enough to start.

Plant, production and manufacturing engineers

Who need AI that works with existing records, constraints and shift reality.

Quality and QA/QC engineers

Evaluating defect detection and inspection models before they reach the line.

Maintenance and reliability engineers

Exploring where predictive maintenance AI fits and how to judge it.

Operations and production managers

Deciding which AI ideas are worth a pilot, and which are not.

Industry 4.0 and digital transformation leads

Converting a transformation roadmap into one bounded, testable project.

SAP PM / EAM, analytics and reporting users

Turning maintenance and production records into decisions instead of reports.

Prerequisites: basic AI awareness. No coding, no PLC experience and no manufacturing background are required — the case study supplies the context you need.

Watch and learn

See the trainer and the material before you enroll. Start with the course introduction, then the orientation recording and a real-world example of AI in industrial automation.

Course Introduction

A quick walkthrough of what the course covers and how the five days fit together.

Watch on YouTube

Orientation Session

The introduction/orientation conducted during our weekly webinar.

Watch on YouTube

AI in Industrial Automation — Example

A real-world example showing how AI is applied on the shop floor.

Watch on YouTube

Your trainer

Trainer: Raju Karibandi

Co-Founder, Vinamraa Solutions Pvt Ltd

35+ years in industrial automation, SAP and IT across steel, aluminium, petrochemical, fertilizer and chemical industries.
Has worked with Emirates Steel, Hadeed – SABIC, Aluminium Bahrain and Satyam Computer Services.
Expertise in SAP Plant Maintenance, Enterprise Asset Management, Quality Management, business process improvement and industrial digital transformation.
Current focus: AI-enabled industrial digital transformation, integrated platforms and automation, supporting KonfigAI and Vinamraa Solutions.
Teaches all five sessions and recorded the orientation and course introduction on this page.

Why the poster shows two logos

iTeLearn runs the program — registration, live delivery, materials and the certificate of completion. The second logo belongs to Vinamraa Solutions Pvt Ltd, the industrial digital transformation practice co-founded by Raju Karibandi, whose tagline reads “Intelligence in Every System”. Vinamraa is where the trainer's plant-side work sits; it is a partner in designing the course content, not a separate enrollment channel.

Schedule and time zones

Two free sessions run on 12 and 13 November — one in the evening and one in the morning Pacific — and every paid session is one hour. India and Gulf times for the evening slot fall on the following morning.

Session times for the free demo and the paid training in Pacific, Eastern, India and Gulf time zones
Session	US Pacific (PT)	US Eastern (ET)	India (IST)	Gulf (GST)
Free demo 1One hour, no charge	Thu, 12 Nov 2026 · 5:00–6:00 PM	Thu, 12 Nov 2026 · 8:00–9:00 PM	Fri, 13 Nov 2026 · 6:30–7:30 AM	Fri, 13 Nov 2026 · 5:00–6:00 AM
Free demo 2One hour, no charge	Fri, 13 Nov 2026 · 7:00–8:00 AM	Fri, 13 Nov 2026 · 10:00–11:00 AM	Fri, 13 Nov 2026 · 8:30–9:30 PM	Fri, 13 Nov 2026 · 7:00–8:00 PM
Paid session 1Mon, 16 November 2026	5:00–6:00 PM	8:00–9:00 PM	Tue, 17 Nov · 6:30–7:30 AM	Tue, 17 Nov · 5:00–6:00 AM
Paid session 2Tue, 17 November 2026	5:00–6:00 PM	8:00–9:00 PM	Wed, 18 Nov · 6:30–7:30 AM	Wed, 18 Nov · 5:00–6:00 AM
Paid session 3Wed, 18 November 2026	5:00–6:00 PM	8:00–9:00 PM	Thu, 19 Nov · 6:30–7:30 AM	Thu, 19 Nov · 5:00–6:00 AM
Paid session 4Thu, 19 November 2026	5:00–6:00 PM	8:00–9:00 PM	Fri, 20 Nov · 6:30–7:30 AM	Fri, 20 Nov · 5:00–6:00 AM
Paid session 5Fri, 20 November 2026	5:00–6:00 PM	8:00–9:00 PM	Sat, 21 Nov · 6:30–7:30 AM	Sat, 21 Nov · 5:00–6:00 AM

Free demo 1
One hour, no charge
US Pacific (PT)
Thu, 12 Nov 2026 · 5:00–6:00 PM
US Eastern (ET)
Thu, 12 Nov 2026 · 8:00–9:00 PM
India (IST)
Fri, 13 Nov 2026 · 6:30–7:30 AM
Gulf (GST)
Fri, 13 Nov 2026 · 5:00–6:00 AM
Free demo 2
One hour, no charge
US Pacific (PT)
Fri, 13 Nov 2026 · 7:00–8:00 AM
US Eastern (ET)
Fri, 13 Nov 2026 · 10:00–11:00 AM
India (IST)
Fri, 13 Nov 2026 · 8:30–9:30 PM
Gulf (GST)
Fri, 13 Nov 2026 · 7:00–8:00 PM
Paid session 1
Mon, 16 November 2026
US Pacific (PT)
5:00–6:00 PM
US Eastern (ET)
8:00–9:00 PM
India (IST)
Tue, 17 Nov · 6:30–7:30 AM
Gulf (GST)
Tue, 17 Nov · 5:00–6:00 AM
Paid session 2
Tue, 17 November 2026
US Pacific (PT)
5:00–6:00 PM
US Eastern (ET)
8:00–9:00 PM
India (IST)
Wed, 18 Nov · 6:30–7:30 AM
Gulf (GST)
Wed, 18 Nov · 5:00–6:00 AM
Paid session 3
Wed, 18 November 2026
US Pacific (PT)
5:00–6:00 PM
US Eastern (ET)
8:00–9:00 PM
India (IST)
Thu, 19 Nov · 6:30–7:30 AM
Gulf (GST)
Thu, 19 Nov · 5:00–6:00 AM
Paid session 4
Thu, 19 November 2026
US Pacific (PT)
5:00–6:00 PM
US Eastern (ET)
8:00–9:00 PM
India (IST)
Fri, 20 Nov · 6:30–7:30 AM
Gulf (GST)
Fri, 20 Nov · 5:00–6:00 AM
Paid session 5
Fri, 20 November 2026
US Pacific (PT)
5:00–6:00 PM
US Eastern (ET)
8:00–9:00 PM
India (IST)
Sat, 21 Nov · 6:30–7:30 AM
Gulf (GST)
Sat, 21 Nov · 5:00–6:00 AM

Each session is 60 minutes. Download a calendar reminder after registering and check the slot against your own shift pattern.

Not sure the hour works for your team? Ask about a team schedule.

Pricing and enrollment

One price for all five sessions. Early bird $69 with code AI-69, regular $99.

$99$69

Early Bird $69 — use code AI-69 at checkout

Access to the AI in Industrial Automation course

Five live instructor-led sessions

Real-world industry use cases

The biscuit factory case study and workbook

Certificate of completion

Want to watch first? The free demo on 12 November 2026 is the same session style — register for the demo.

Enquire for Your Team

Training a plant, a quality function or an Industry 4.0 team? Tell us your team size, plant type and preferred time zone and we will reply with a schedule and group pricing.

Start a team enquiry

Prefer email? Write to learn@itelearn.com — the form goes to the same inbox.

AI in Industrial Automation: frequently asked questions

What does this AI in industrial automation course actually cover?

Five live sessions on how AI supports production, quality and maintenance. You work through one factory case study: the process map, automation and AI-assisted workflows, analytics from existing records, quality and production planning, process improvement, and a unified platform. You finish with a one-page pilot proposal.

Do I need coding skills?

No. This is a no-code AI course — you work with spreadsheets, existing plant records and AI assistant tools. No Python, no model building and no paid AI account are required.

How are the five one-hour sessions run?

Five live online sessions of 60 minutes each, five hours in total, on 16, 17, 18, 19 and 20 November 2026. Every session mixes teaching, a short practice task and review, and ends with a worksheet and an exit ticket.

Is this a PLC programming course?

No. PLCs, control loops, permissives and interlocks are explained on Day 2 so you can work with your automation team, but the course does not teach ladder logic, PLC programming, SCADA configuration or commissioning.

Does it cover predictive maintenance AI?

It covers where predictive maintenance AI fits: Day 5 works through maintenance and energy opportunities from existing records, and Day 4 shows how to evaluate predictions before deployment. Sensor installation and model building are out of scope.

Who should attend?

Plant, production, quality, maintenance and reliability engineers, operations managers, Industry 4.0 and digital transformation leads, and SAP PM/EAM or reporting users. This AI for manufacturing training starts from basic AI awareness; manufacturing experience helps but is not required.

What does it cost?

$99 is the regular price. The early-bird price is $69 with code AI-69 at checkout. A free live demo runs on 12 November 2026, 5:00–6:00 PM PT.

Which time zone suits me?

Sessions run 5:00–6:00 PM US Pacific — 8:00–9:00 PM US Eastern, 6:30–7:30 AM IST the next morning in India, and 5:00–6:00 AM GST the next morning in the Gulf.

Is there a certificate or an exam?

You receive a certificate of completion. The only assessment is an internal course assessment scored out of 10 with a suggested pass of 7/10 — it is not a professional certification.

Can you run this program for my team?

Yes. Use the Enquire for Your Team option, tell us your team size, plant type and preferred time zone, and we will reply with a schedule and group pricing.

Refunds and cancellations

Cancel up to 7 days before the program start date for a full refund. Within 7 days of the start date you can move your fee to another iTeLearn program as a credit. If iTeLearn cancels or reschedules a program, choose a full refund or a credit. Missed live sessions do not qualify for a refund, because recordings and materials are shared with registered participants.

Read the full refund and cancellation policy →

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How the final project is assessed

This is an introductory internal course assessment, not a professional certification. Each criterion is scored 0 (absent), 1 (partly specified) or 2 (clear and workable), with a suggested pass of 7/10 — and no zero allowed for ownership or evaluation and fallback.

Process understanding — clear process, boundary and operational problem

Data and measurement — named records, valid counts, units and comparison

Technical choice — justified rules, analytics, AI or integration

Workflow ownership — named reviewer, decision-maker and action owner

Evaluation and fallback — pilot, acceptance criteria, constraints and fallback

Five sessions, one factory, one plan for your plant

Registration is open for the 16–20 November 2026 cohort. Early bird $69 with code AI-69.

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