Become an Industrial IoT & Industry 4.0 Engineer.
A hands-on programme for fresh engineering and diploma graduates. Wire real panels, program industrial PLCs, connect machines to data systems and build the dashboards factories run on.
You build the whole industrial data chain yourself
From a 24 V sensor to a live OEE dashboard: PLC, Modbus/OPC UA, edge, MQTT, PostgreSQL and Grafana.
Sensors
24 V I/O, analog
PLC + HMI
Delta · Mitsubishi · Siemens
Connectivity
Modbus · OPC UA
Edge + MQTT
ESP32 · Python · Linux
Historian
PostgreSQL
Insight
Grafana · OEE · MES
Factories are going digital.
They need engineers who can connect them.
Manufacturers are connecting machines to track output, downtime, energy and quality in real time. That needs people who understand both the shop floor and software: wiring and PLCs on one side, protocols, data and dashboards on the other. This programme builds that combination in 12 weeks.
Real industrial hardware
Every station has a Delta PLC and HMI, sensors, an energy meter and ESP32 boards. Rotation stations add Mitsubishi and Siemens.
Small batches of 15
Two to a station, so everyone wires, programs and debugs. A trainer leads each morning; a lab instructor supervises all afternoon.
Practical, not slides
300 of 480 hours are supervised lab work. 95% of your score comes from what you build, test and explain.
AI-assisted engineering
Learn to code with AI the way working engineers do, and prove every line works before it reaches a machine.
Built by practitioners
Designed by the Maestro team behind M-Connect, an IIoT platform running on live shop floors.
Portfolio and placement support
Graduate with eight builds, a defended capstone, a CV and mock interviews, plus introductions to hiring companies.
12 weeks. One complete factory data system.
Each week is 40 hours: 15 trainer-led and 25 supervised lab. Weekly builds become reusable parts of your capstone.
Electrical & industrial basics
24 V circuits, sensors, PNP/NPN, 4–20 mA. Build and debug a protected panel.
PLC & HMI programming
Ladder logic and HMI screens on Delta, then port your machine to Mitsubishi or Siemens.
Serial, Modbus & networking
RS485, Modbus RTU/TCP, IP addressing. Read a real energy meter.
Python for automationAI
A fault-tolerant machine-data collector, verified value by value.
ESP32 & embedded CAI
Build a sensor node with RS485 and compare it with an industrial gateway.
MQTT & Node-RED
Move machine data reliably through a publish/subscribe pipeline.
OPC UA & machine connectivity
Secure OPC UA, gateways, and how to connect an unfamiliar machine.
Linux & edge deployment
Services, VLANs, firewalls, Git and Docker on an edge computer.
PostgreSQL & Grafana
A machine historian and a live energy dashboard with alerts.
SCADA, MES & OEE
Turn machine events into downtime, OEE and production reports.
OT security & commissioning
Harden the system; FAT/SAT and multi-layer troubleshooting.
Capstone & career readiness
Deliver and defend your system; CV, portfolio and mock interviews.
AI writes. You prove it.
Employers want engineers who use AI and can be trusted with the result. You learn a five-step discipline, and you are tested without AI to show you truly understand your work.
- Weeks 1–3 By hand: wiring, PLC, HMI, protocols
- Weeks 4–5 Hand-coded first, then AI-assisted
- Weeks 6–12 AI-assisted, every output reviewed and logged
Final tests are done without AI. Troubleshooting, code review, theory checks and the final technical interview prove you understand what you deliver.
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01
Specify
Written specificationWrite the tag list, register map and failure cases before prompting.
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02
Generate
Prompt logAsk the AI assistant for small, testable pieces, not whole programs.
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03
Read
Annotated code reviewExplain every line in your own words; resolve anything unclear before running.
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04
Verify
Cross-check recordCross-check results against meters, Modbus tools, Wireshark and manuals.
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05
Defend
Fault test and sign-offPull cables, stop the broker, send bad frames. Fix it and explain it.
Smart Manufacturing Monitoring System
A paired engineering build that connects a real machine cell to a live production dashboard. It grows out of eight staged projects, then is delivered, tested and defended individually in Week 12.
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1 Week 1
Sensor panel
Protected 24 VDC circuit, sensor I/O and measurement.
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2 Week 2
PLC + HMI cell
Delta sequence and screens, ported to a second brand.
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3 Week 4
Python collector
Serial/Modbus acquisition with validation and timestamps.
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4 Week 5
ESP32 node
Embedded C counting node with network and RS485.
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5 Week 6
MQTT pipeline
Broker, topic contract and Node-RED transformation.
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6 Week 8
Edge deployment
Linux service/container with buffering and replay.
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7 Week 9
Energy historian
PostgreSQL and Grafana with kWh, gaps and alerts.
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8 Week 10
Production insight
Machine events, OEE and MES order linkage.
- FAT/SAT-style acceptance tests
- Outage, restart and replay recovery
- OEE reconciled to raw counts
- Handover pack and individual viva
Every day has a build goal
3 h · Trainer-led
Concepts, live demo, manual reading and a guided practical start.
4 h · Supervised lab
Build, test, fault injection and peer integration.
1 h · Documentation
Lab workbook, Git update, AI prompt log and instructor sign-off.
95% of your score is practical: weekly labs, eight mini-projects, troubleshooting tests, the capstone and a final technical viva.
Who can join
- Fresh BE/BTech or diploma graduates, or final-semester students joining after exams
- EEE, ECE, EIE, Mechatronics, Mechanical, CSE and related branches
- Able to attend full-time, 8 hours a day, for 12 weeks
What you need
- Basic maths, electrical concepts and PC skills
- No prior PLC or coding needed; a short self-paced pre-course is provided
- Your own laptop (Windows, 8 GB RAM recommended)
Where this takes you
Prepared for entry-level roles with automation companies, system integrators, machine builders and manufacturing plants.
Automation / PLC Engineer
Program, test and maintain machine control.
IIoT Integration Engineer
Connect machines and gateways to data platforms.
SCADA / MES Engineer
Build operator views, alarms and production tracking.
Edge Application Engineer
Deploy and support software on the factory edge.
Commissioning Engineer
Install, test and hand over systems on site.
Manufacturing Data Engineer
Turn machine data into OEE, energy and quality insight.
You graduate with
- Eight hands-on builds and a working capstone system
- A GitHub portfolio, lab workbook and handover pack
- Experience on three PLC brands
- A CV, project story and mock technical interviews
- A Maestro course completion certificate
- Placement assistance and employer introductions
Learn on the same stack used in real deployments
The course is built around how the Maestro team connects machines with M-Connect: legacy PLCs, energy meters, gateways, MQTT and dashboards. Your capstone follows the same steps as a real shop-floor rollout, from tag list to acceptance test.
How to join
Five simple steps from enquiry to your first day in the lab.
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1
Register
Apply online, call or WhatsApp us.
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2
Entry check
A short basics test and conversation.
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3
Counselling
Course, schedule and fee details.
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4
Pre-course
Self-paced Python, Linux and number basics.
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5
Start building
Day 1 in the lab.
Ready to start? Seats are limited.
Apply online in two minutes. Our admissions team will call you to book your entry check.
Placement assistance includes employer introductions and interview referrals; employment is not guaranteed. Delta, Mitsubishi Electric, Siemens and other product names are trademarks of their owners and are used only to describe course content; no endorsement is implied.