AI and machine learning · Free · ₹0
Industrial Data with Python
The plumbing nobody teaches: values out of PLCs and meters over Modbus and OPC UA from Python, published over MQTT, stored as time series, cleaned and gridded, forecast and scored for anomalies, and wired to a dashboard — every stage built against a simulator on your own laptop, so no plant is needed and nothing you break matters.
Inside the course
From the lessons
Where plant data lives, and where Python fits
APMonitor.com
Modbus TCP from Python
Fusion Automate
Modbus RTU and serial devices
Fusion Automate
OPC UA from Python
Fusion Automate
OPC UA security, and a Pi as a server
Fusion Automate
MQTT: publish once, subscribe anywhere
IT and Automation Academy
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
Read Modbus TCP and RTU devices and OPC UA servers from Python and run simulators of both; subscribe rather than poll; publish on well-designed MQTT topics with quality and timestamps; store in SQLite or InfluxDB with Grafana; clean and grid live process data honestly; forecast day-ahead load and beat the seasonal-naive baseline; detect anomaly episodes on process tags; and assemble the whole pipeline with Node-RED and a model served over HTTP, run as services with security and documentation.
- Read holding registers over Modbus TCP and RTU from Python and decode floats, offsets and scaling correctly
- Run an OPC UA server and client in Python, subscribe to changes and log value, quality and source timestamp
- Design MQTT topics and payloads and bridge OPC UA to a broker with retain and last will
- Store time series in SQLite or InfluxDB, downsample honestly and dashboard with Grafana
- Clean live process data: quality masks, grids, frozen sensors, coverage, joins by time
- Forecast day-ahead load against a seasonal-naive baseline and detect anomaly episodes on process tags
Course content
12 modules · 35 lessons · 10h 37m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last, and a short quiz.
- 01Where plant data lives, and where Python fits2 lessons23m
- 02Modbus TCP from Python4 lessons53m
- 03Modbus RTU and serial devices3 lessons33m
- 04OPC UA from Python7 lessons1h 4m
- 05OPC UA security, and a Pi as a server4 lessons48m
- 06MQTT: publish once, subscribe anywhere3 lessons21m
- 07Storing time series4 lessons2h 6m
- 08Cleaning and resampling process data1 lesson58m
- 09Time-series analysis and forecasting3 lessons2h 17m
- 10Anomaly detection on process tags2 lessons43m
- 11Node-RED, dashboards and the end-to-end pipeline2 lessons31m
- 12Final assessment0 lessons0m
Requirements
- Who it is for
- Intermediate. Needs the Python for AI course; the Machine Learning course helps for the forecasting and anomaly modules. Any PLC or instrumentation background makes the protocols familiar.
- Software
- Python on your own laptop (not only Colab): pymodbus, minimalmodbus, asyncua, paho-mqtt, Mosquitto, SQLite, optionally InfluxDB, Grafana and Node-RED. All free.
- Hardware
- None. A USB–RS485 adapter and any Modbus meter make the serial module real; a Raspberry Pi makes the OPC UA server a device.
Industrial Data with Python at a glance
Industrial Data with Python is a free, self-paced online ai and machine learning course from EDWartens India with 12 modules, 10h 37m 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 ₹5,999.
- Format
- 12 self-paced modules, 10h 37m of video, written notes, a quiz per module and a final assessment.
- Level
- Intermediate. Intermediate. Needs the Python for AI course; the Machine Learning course helps for the forecasting and anomaly modules. Any PLC or instrumentation background makes the protocols familiar.
- Brand
- Vendor-neutral
- Software
- Python on your own laptop (not only Colab): pymodbus, minimalmodbus, asyncua, paho-mqtt, Mosquitto, SQLite, optionally InfluxDB, Grafana and Node-RED. All free.
- Hardware
- None. A USB–RS485 adapter and any Modbus meter make the serial module real; a Raspberry Pi makes the OPC UA server a device.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- Fusion Automate, Rocket Systems, APMonitor.com, RealPars, Chipsee, Johannes 4GNU_Linux, InfluxData, Masters Of The Code, IT and Automation Academy, Dave Ebbelaar, Rob Mulla, freeCodeCamp.org, Lianne and Justin, AIEngineering, NeuralNine (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 Industrial Data with Python, and they are published exactly as written. Finish the course and yours will be the first.
Common questions
Do I need a PLC or a meter?
No. Every module runs against a simulator you write in Python — a Modbus slave, an OPC UA server, a local MQTT broker. A USB–RS485 adapter and any meter make the serial module real if you have them.
Why not just use Node-RED?
Node-RED is excellent glue and has its own free course here. This course is for the parts Node-RED does not do well — decoding, cleaning, storing at scale, forecasting, anomaly detection — and for understanding what the glue is gluing. The last module wires the two together.
What are the projects?
A complete bench pipeline: an OPC UA simulator with an injected fault, a subscribing client publishing to MQTT, a logger to SQLite, cleaning and gridding, an anomaly detector with a baseline and persistence, episodes published back and a dashboard — with the detection lag measured against the injection time. And a day-ahead load forecast on a year of compressor data that must beat the seasonal-naive baseline, with the improvement converted to rupees.
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 Industrial Data with Python
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 reading plc data over modbus tcp and opc ua from python to a data logger and anomaly report for a simulated plc.
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.
- Fusion Automatethe OPC UA and Python series, the Modbus TCP and RTU tutorials and the OPC UA to MQTT converters
- Rocket Systemsthe OPC UA series with Raspberry Pi, security and a dashboard
- APMonitor.comdata transfer with Modbus, OPC and SQL
- RealParsthe OPC UA and Node-RED explainers
- Chipseereading Modbus data with Python
- Johannes 4GNU_Linuxa Modbus TCP server with pyModbusTCP
- InfluxDatatime-series basics and querying InfluxDB with Grafana
- Masters Of The CodeInfluxDB 2, Grafana and Python monitoring
- IT and Automation Academythe MQTT explainer
- Dave Ebbelaardetecting outliers in sensor data
- Rob Mullatime-series forecasting with XGBoost
- freeCodeCamp.orgtime-series forecasting in Python
- Lianne and JustinARIMA models in Python
- AIEngineeringanomaly detection with Isolation Forest on time series
- NeuralNineanomaly detection for time-series data
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.