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Learning path · Aimed at an industrial AI engineer

Industrial AI engineer

For automation engineers and students who want to bring AI to machines, sensors and plant data.

You start with the first course. The next one is added when you are halfway through the one you are on.

See the courses in order
4 courses · 49 modules · 32h 21m of video · free, no card

What you can do at the end

Finish the path and you can do this

  • Explain where AI sits beside PLC and SCADA systems.
  • Build a predictive-maintenance model on real run-to-failure data.
  • Read plant data over Modbus and OPC UA in Python, and set up a vision inspection with YOLO.

A path teaches skills. It does not promise a job, an interview or a salary.

Why these courses together

Each course builds on the last

  • 1The first course sets the picture of where AI belongs in a plant, so the next three have a context.
  • 2Predictive maintenance and vision inspection come before the data course so you see the models first, then learn to feed them real signals.
  • 3Every course uses plant examples, so you finish with a project set that makes sense to an automation reader.

A planned order also saves the time you would spend choosing what to learn next, and you finish with one story to tell: what you learnt, in order.

The roadmap

4 courses, in this order

  1. Step 1: AI for Industrial Automation

    Adds: 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.

    • Intermediate
    • 13 modules
    • 6h 33m of video

  2. Step 2: Predictive Maintenance with Machine Learning

    Adds: The industrial AI application with a budget behind it, built end to end: failure modes and what each sensor sees, signals to condition indicators, anomaly detection on normal data, fault classification, deep learning on windows, remaining useful life on NASA's run-to-failure engines, and the alerting and deployment that decide whether anyone acts.

    • Intermediate
    • 12 modules
    • 9h 46m of video

  3. Step 3: Machine Vision and Quality Inspection

    Adds: The whole inspection station, not just the model: cameras, lenses, lighting and triggers that make the image; classical tools for what can be measured; deep learning for what can only be shown; datasets and labelling; training, evaluating and exporting a YOLO defect detector; and deploying it beside a PLC that keeps the reject decision.

    • Intermediate
    • 12 modules
    • 5h 40m of video

  4. Step 4: Industrial Data with Python

    Adds: 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.

    • Intermediate
    • 12 modules
    • 10h 21m of video

4

courses

49

modules

32h 21m

of video in total

Example: at 5 hours a week, the video alone takes about 7 weeks. Practice tasks and the finals come on top, and you set the pace.

Practise what you learn in the free 3D lab

Technical work is judged on what you can do: wiring, commissioning, finding a fault. Doing a task yourself teaches more than watching it a second time, and a lab lets you try it safely before you meet real equipment. It does not replace working on real hardware.

See the 3D lab

What you get

What joining gives you

  • Every course is free, with lifetime access and no card.
  • Video lessons by credited independent creators, with our written notes and worked examples.
  • A practice task per module, and one final assessment per course.
  • Ask-an-engineer support.
  • Optional verifiable certificate for each course you pass, US$23.99 for a beginner course. There is no single certificate for the whole path.
  • One course at a time: you start with the first, and the next is added when you are halfway through it.
  • Each course keeps its own progress. You can open any course on its own at any time.

Put it into practice

Then try it in an internship

A laptop screen showing a model result plotted as a graph.

AI and Machine Learning Internship

Eight short weeks of machine learning from data to a deployed model: notes, diagrams, a few videos and worked exercises in free notebooks.

The AI and Machine Learning internship gives you weekly tasks that build on the modelling skills here.

The Free internship is 4 weeks with a free certificate. It is training, not employment, and the Engineer-verified internship is optional.

See the AI and Machine Learning internship

Questions

Questions about this path

Is the Industrial AI engineer free?

Yes. Every course in the path is free in full: lessons, notes, practice tasks and the final assessment. The only paid item is the optional EDWartens Certificate of Completion for each course.

What happens when I join the path?

You are enrolled on the first course straight away. The next course is added to your account when you are about halfway through the one you are on, so you never face a pile of unstarted courses. Each course keeps its own progress, notes and final.

In what order should I take the courses?

In the order listed: each course is placed after the ones it builds on. Every course also stands alone, so you can open any of them from the list.

Do I get one certificate for the whole path?

No. Certificates are per course, issued when you pass that course's final assessment, and you only buy one if you want it. Finishing every course gives you one optional, verifiable certificate for each.

How long will it take?

The video alone is about 32h 21m. Notes, practice tasks and the finals take extra time, and you go at your own pace.

Do I have to do the internship?

No. It is a separate, optional step. The AI and Machine Learning Internship is training, not employment: the Free internship is 4 weeks with a free certificate, and the Engineer-verified internship is optional.

Ready to start Industrial AI engineer?

You start with the first course. The next one is added when you are halfway through the one you are on.

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