Prompt course · 9 lessons · 24 prompts · 1 hour · Beginner
AI for Automation Engineers
Nine short lessons that walk an automation engineer through the prompts for fault finding, PLC code, testing, commissioning and customer updates. Each lesson gives you a prompt to copy, a way to check the answer and a habit to keep.
What you'll learn
- Everyday use: Ask about a sensor, a manual or a control term and get a plain answer you can act on.
- Change documents: Turn rough notes from a design change into a clean record for the maintenance log.
- PLC code help: Generate, convert and review ladder or structured text for common tasks, then check it yourself.
- Control design: Draft a control narrative, build an I/O list and choose sensors for a new system.
- Test and commission: Write test cases and a commissioning plan before the machine runs for the first time.
- Fault finding: Turn an alarm list or a screen photo into likely causes and a sensible check order.
- Robots and sensors: Plan a cell layout, sensor settings and the handshake logic between devices.
- Cycle time and clients: Read cycle time data for improvements and write clear quotes and delay messages.
What's inside
9 lessons · 24 prompts- Before you start · framework course ICIO and CIDI: Reusable Prompt TemplatesICIO and CIDI fit automation engineering because reusable prompts classify PLC alarms and extract sensor logs into repeatable templates.
- Before you start · framework course Context Engineering and Structured PromptsContext engineering fits your automation work because structured prompts keep agents reliable when you build a Jenkins pipeline that triages failed tests.
- Start here Priya's Thursday, two waysA day in the life of an Automation Engineer, before and after these prompts.
- 01 Lesson 1 · 3 prompts Everyday AI for Automation
- 02 Lesson 2 · 3 prompts Documenting Systems and Changes
- 03 Lesson 3 · 3 prompts Programming PLC Logic
- 04 Lesson 4 · 3 prompts Designing Control Systems
- 05 Lesson 5 · 2 prompts Testing and Commissioning
- 06 Lesson 6 · 3 prompts Troubleshooting System Faults
- 07 Lesson 7 · 3 prompts Integrating Robots and Sensors
- 08 Lesson 8 · 2 prompts Optimizing Cycle Times
- 09 Lesson 9 · 2 prompts Client and Admin Side
About this course
7 topicsPrompts for Automation Engineers, One Workday at a Time
This course is nine short lessons that follow the work you already do. Each one takes a task from the plant floor, like writing a change note or planning a first start, and shows the prompt that makes it faster.
You do not need to know how AI works inside. You need to know what a good answer looks like, and that is what an automation engineer already brings.
The lessons
- Everyday AI for Automation: Use AI to quickly understand automation concepts, manuals, and to ask better technical questions.
- Documenting Systems and Changes: Use AI to turn design notes and change details into clear system documentation.
- Programming PLC Logic: Use AI to generate, convert, and review PLC code for common automation tasks.
- Designing Control Systems: Use AI to draft control narratives, build I/O lists, and choose sensors for a new system.
- Testing and Commissioning: Use AI to create test cases and plan commissioning steps before a system goes live.
- Troubleshooting System Faults: Use AI to turn fault descriptions and alarm screenshots into likely causes and check steps.
- Integrating Robots and Sensors: Use AI to plan robot cell layouts, sensor settings, and handshake logic between devices.
- Optimizing Cycle Times: Use AI to analyze cycle time data and suggest logic or motion improvements.
- Client and Admin Side: Use AI to draft quotes and explain delays clearly to customers.
What the course covers
The lessons move through a normal week: understanding a concept, documenting a change, writing and reviewing PLC code, designing a control system, testing, commissioning, fault finding, robot and sensor integration, cycle time work, and the quotes and delay messages that go to customers.
Every lesson gives you a prompt you can copy, an example of the output, and the check you should run before you trust it.
How the lessons connect
The early lessons are about asking good questions and keeping records. The middle lessons use those habits on code and control design. The later lessons apply them under pressure, during commissioning and fault finding.
You can work straight through or jump to the lesson that matches today's problem. The prompts build on each other either way.
Using the prompts well
Short prompts with real detail beat long ones. Say what the machine is, what it is meant to do, and what is happening instead.
Ask for a list of causes or a draft, not a final answer. Then push back, ask for the reasoning, and ask what to check first.
Who this course is for
Automation engineers who program controllers, integrate sensors and get called when a line stops. It suits people who write their own documentation and talk to customers.
No prior AI experience is needed. If you can describe a fault in a sentence, you can start.
Safety and privacy at work
Keep customer names, site details and anything marked confidential out of the tool. Describe the machine and the problem instead, which is usually enough for a good answer.
Generated code and test lists are drafts. You read them, test them and sign them off, the same as you would with a junior engineer's work.
Your next step
Open the first lesson and try one prompt on a fault you already understand. Compare the answer with what you know, then note where it helped and where it did not.
From there, pick the lesson that matches the task in front of you and keep the prompt that works. Small habits are how this becomes part of your day.