AI and machine learning · Free · ₹0
AI for Industrial Automation
The hub of the industrial track: where AI actually sits beside PLC, SCADA, MES and the historian; which of the seven use cases pay and what data each needs; OPC UA, MQTT and the unified namespace; edge against cloud; predictive maintenance as a business case; vision, digital twins, copilots and agents; the vendor landscape; safety, security and governance — ending with a readiness audit of a real process.
Inside the course
From the lessons
Where AI sits in a plant
NVIDIA
The data a plant already has
4.0 Solutions
Edge or cloud
RealPars
Machine vision and AI inspection
Breen Machine Automation Services LLC
Copilots and agents for the engineering office
Charbax
![Securing Your Generative AI Applications [Pt 13] | Generative AI for Beginners](https://i.ytimg.com/vi/m0vXwsx5DNg/mqdefault.jpg)
Safety, security and governance
Microsoft Developer
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
Place any AI proposal on the control hierarchy and the use-case map; inventory a plant's data and its quality problems; choose OPC UA, MQTT or a unified namespace for getting data to a model; decide edge or cloud; build the predictive-maintenance business case; specify a vision, twin or copilot project with the PLC in charge; read a vendor demo critically; apply functional safety, 62443 and change control to a model; and write the eight-section readiness audit a plant manager can fund.
- Place any AI proposal on the control hierarchy and say what the PLC keeps
- Match a plant problem to one of seven use cases and name the label it needs
- Get data to a model with OPC UA, MQTT and a unified namespace without loading the PLC
- Decide edge or cloud, and size the box
- Build the predictive-maintenance business case with sourced numbers
- Write the eight-section AI readiness audit a plant manager can fund
Course content
13 modules · 37 lessons · 6h 27m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last, and a short quiz.
- 01Where AI sits in a plant3 lessons25m
- 02The use-case map2 lessons17m
- 03The data a plant already has1 lesson22m
- 04Getting data out: OPC UA, MQTT and the unified namespace5 lessons1h 2m
- 05Edge or cloud4 lessons52m
- 06Predictive maintenance as a business case4 lessons27m
- 07Machine vision and AI inspection6 lessons21m
- 08Digital twins and simulation4 lessons27m
- 09Copilots and agents for the engineering office2 lessons11m
- 10The vendor landscape4 lessons1h 18m
- 11Safety, security and governance1 lesson8m
- 12The AI readiness audit1 lesson34m
- 13Final assessment0 lessons0m
Requirements
- Who it is for
- Intermediate. Best after any PLC or SCADA course in the automation track and the Generative AI foundations; no coding required for most modules.
- Software
- None required. Pandas on the track's datasets for the optional business-case project.
- Hardware
- None.
AI for Industrial Automation at a glance
AI for Industrial Automation is a free, self-paced online ai and machine learning course from EDWartens India with 13 modules, 6h 27m of video lessons, written notes, practice tasks and assessments, and an optional verifiable certificate.
- Price
- ₹0, free for good. No trial, no card. Comparable classroom training of this length costs about ₹4,499.
- Format
- 13 self-paced modules, 6h 27m of video, written notes, a quiz per module and a final assessment.
- Level
- Intermediate. Intermediate. Best after any PLC or SCADA course in the automation track and the Generative AI foundations; no coding required for most modules.
- Brand
- Vendor-neutral
- Software
- None required. Pandas on the track's datasets for the optional business-case project.
- Hardware
- None.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- RealPars, NVIDIA, IBM Technology, Siemens Knowledge Hub, Cognex, MATLAB, ADASH, 4.0 Solutions, Opto Video, Inductive Automation, Enuda, edureka!, Future in the Making, Automatedo, Charbax, Retrocausal AI, Microsoft Developer (independent creators, credited below)
- Language
- English
A shareable EDWartens certificate
Finish every module and pass the final assessment, and the optional EDWartens certificate is yours. It carries a unique verification code on a public page anyone can check, so it stands up when a recruiter looks it up. See it below.
- Add it to your LinkedIn profile in one click
- Link it from a CV or portfolio, the URL is permanent
- Publicly verifiable by code, not a PDF anyone can edit
- Issued by EDWartens India, the training centre itself
The course itself stays free whether or not you ever buy one.
Stuck? Ask a practising engineer
A free course usually means a comment section and hope. This one does not. Every module has an Ask-your-trainer panel that reaches the same engineers who teach our paid programme: people who commission panels for a living, not moderators.
- Questions answered in the context of the module you are on
- The same engineers who teach the AEP programme
- Career tools, CV help and public job listings included
- Your progress and notes stay in your account for good
Pairs well with
PLC programming · FreeSiemens TIA PortalFrom zero electrical knowledge to a working, simulated S7-1200 program, for nothing.
PLC programming · FreeSiemens S7-1200 with TIA Portal: The Tutorial SeriesEvery S7-1200 instruction, one short video at a time: bits, edges, timers, counters, comparators, maths, MOVE, conversion, analog scaling, jumps and shift registers.
HMI · FreeSiemens TIA Portal HMI: KTP and Comfort Panels with WinCCEvery screen a plant operator touches, built in TIA Portal: tags, buttons, symbols, numeric input, bar graphs, navigation and templates, trends, alarms, recipes, faceplates, pop-ups, users and languages.
Process control · FreeSiemens TIA Portal PID Compact and Analog ProcessingClosed-loop control the way it is done on an S7-1200 or S7-1500: analog in, NORM_X and SCALE_X, PID_Compact configured, tuned and wired to an HMI, analog or PWM out, proved on a free tank simulation.Learning paths with this course
- Industrial AI engineer · 4 coursesAI where the machines are: where it sits beside PLC and SCADA, predictive maintenance on real run-to-failure data, machine vision quality inspection with YOLO, and plant data over Modbus and OPC UA in Python.
Learner reviews
No reviews yet
Reviews here are written only by learners who have finished every module of AI for Industrial Automation, and they are published exactly as written. Finish the course and yours will be the first.
Common questions
Is this a coding course?
No. It is the decision course: what to do first, with what data, on which box, under which rules. The Predictive Maintenance, Machine Vision and Industrial Data courses are where you then build it.
Who is it for?
Automation, electrical and instrumentation engineers who are being asked about AI by their managers or their customers, and want to answer with a plan rather than a vendor's brochure.
What are the projects?
A readiness audit of one real process — cost of the problem, data inventory, use-case shortlist, a six-week first project, architecture, governance and the ask — or a quantified predictive-maintenance business case on the track's datasets for learners without a plant of their own.
Is the course really free?
Yes. Every module, practice task, project and assessment. You create an account so your progress is saved and the assessments can be marked. The certificate is the only paid item, and only if you want it.
What certificate do I get?
An EDWartens Certificate of Completion, issued when you have submitted a project and passed the final assessment, with a verification code anyone can check. It is not a vendor credential and is never described as one.
Who made the video lessons?
The creators named in the Credits block at the foot of this page, on their own YouTube channels. EDWartens did not make the videos and the creators are not affiliated with EDWartens. What EDWartens wrote is the study plan, the notes, the practice tasks, the projects and the assessments.
What you walk away with
Your certificate for AI for Industrial Automation
Finish the course, pass the final, and this is the document with your name on it.
Verifiable by anyone
A unique certificate number and a public verification page. A recruiter checks it in ten seconds.
Adds to LinkedIn in one click
Issuer, credential ID and URL prefilled, with 5 matching skills to pin to your profile.
QR code on the certificate
Scans straight to the verification page, so a printed copy proves itself.
Names what you can do
Lists the topics covered, from where ai sits beside plc, scada, mes and the historian to an ai readiness audit of a real plant process.
A permanent link
Put it on a CV, a portfolio or an application. The URL never changes.
Earned, not attended
Issued only after every module and a final assessment at 70%, with three attempts. That is why it stands up.
Learning is free. The certificate is optional.
Add it now and pay only when you have finished the course, or come back for it later. One-off, ₹559, GST included, with a receipt.
Issued by EDWartens India (Wartens Automation Private Limited) as a Certificate of Completion for this self-paced course. It is not a vendor certification, a university award or a CPD-accredited activity, and it does not certify competence on live equipment. Delivered electronically; see the refund policy.
Credits
Who made the video lessons
The video lessons in this course were created by the people below, not by EDWartens. Every lesson streams from its creator's own YouTube channel; EDWartens neither hosts nor sells that footage, and the creators are not affiliated with EDWartens and do not endorse this course. What EDWartens wrote is the study plan, the notes, the practice tasks and the assessments.
- RealParsthe OPC UA, edge computing, predictive maintenance and Ignition explainers
- NVIDIAHow AI is transforming manufacturing end to end
- IBM Technologythe edge computing, digital twin and AI agents use-case explainers
- Siemens Knowledge HubIndustrial Edge explained, the edge AI tutorials and the digital twin clip
- Cognexthe AI for factory automation explainers
- MATLABGetting started with predictive maintenance and the digital twin explainer
- ADASHvibration analysis for beginners
- 4.0 Solutionsthe unified namespace and Sparkplug B explainers
- Opto Videothe introduction to MQTT and Sparkplug B
- Inductive Automationthe machine learning demo with Ignition
- Enudaa low-cost open-source machine learning solution beside Ignition
- edureka!AI in manufacturing
- Future in the MakingHow AI is changing manufacturing
- AutomatedoWhat is a digital twin
- Charbaxthe Siemens Engineering Copilot for TIA Portal demo
- Retrocausal AIan AI copilot for assembly
- Microsoft Developersecuring generative AI applications
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.