Programme overview · v1.1 · October 2026
A practical, full-time 3-month programme that develops machine
connectivity, automation integration, edge deployment and manufacturing data skills through
supervised engineering builds, with AI-assisted coding taught as a professional skill.
Course objectives
- Read industrial drawings, wire protected 24 VDC circuits and diagnose sensor and I/O faults.
- Develop and test PLC logic and HMI screens on Delta DVP/DOP, and port core logic to Mitsubishi FX5U and Siemens S7-1200 rotation stations.
- Connect equipment through serial, Modbus, Ethernet and OPC UA interfaces using device manuals.
- Build Python and ESP32 applications that acquire, validate and transmit machine data.
- Use AI coding assistants responsibly: specify, review, test and defend AI-generated code and configuration.
- Deploy an edge data pipeline using MQTT, Node-RED, Linux, PostgreSQL and Grafana.
- Translate machine signals into alarms, energy trends, production reports and correctly defined OEE.
- Apply introductory OT security practices and deliver documented FAT/SAT and commissioning evidence.
What successful learners can demonstrate
Given a machine manual, a defined tag list and a lab network, a learner can plan
connectivity, collect and qualify data, deploy an edge pipeline, build a dashboard, recover
from introduced faults and explain the solution to an employer.
Week by week
Syllabus
Each week: 5 days, 40 student hours (15 trainer-led + 25 supervised lab).
Every day pairs a 3-hour trainer-led block with a 5-hour supervised lab and ends with
documented evidence.
Outcome: Wire and test a protected sensor-to-controller circuit.
DAY 01Industry 4.0 and factory systems
- Trainer-led · 3 h
- Automation pyramid; PLC/HMI/SCADA/MES/ERP roles; safety induction and drawings.
- Supervised lab · 5 h
- Inspect a trainer panel, identify components and map the sensor-to-dashboard chain.
- Evidence
- System sketch, component inventory and safety checklist.
DAY 02Electrical and control-panel basics
- Trainer-led · 3 h
- AC/DC, 24 VDC, SMPS, NO/NC, relays, contactors, fuses, MCBs and earthing.
- Supervised lab · 5 h
- Build a protected lamp/relay circuit; measure voltage, continuity and current safely.
- Evidence
- Annotated circuit and measurement sheet.
DAY 03Industrial sensors and digital I/O
- Trainer-led · 3 h
- Proximity, photoelectric and limit sensors; PNP/NPN; sinking/sourcing and isolation.
- Supervised lab · 5 h
- Wire compatible PNP/NPN examples to a training interface; test detection and open-wire faults.
- Evidence
- I/O list, wiring diagram and diagnostic observations.
DAY 04Analog instrumentation and actuation
- Trainer-led · 3 h
- 0-10 V and 4-20 mA; scaling; temperature/pressure transmitters; motor/VFD overview.
- Supervised lab · 5 h
- Use signal generators and a compatible analog module; scale a value; compare signal loss.
- Evidence
- Scaling calculation and calibration points.
DAY 05Panel build and practical checkpoint
- Trainer-led · 3 h
- Drawing review, labeling, ferrules, polarity checks and systematic diagnosis.
- Supervised lab · 5 h
- Complete an object-detection/counting panel; diagnose loose terminal, polarity and I/O faults.
- Evidence
- Mini-project 1 plus individual electrical practical.
Outcome: Deliver a working PLC/HMI machine simulation and port it to a second PLC brand.
DAY 06Delta DVP setup and scan cycle
- Trainer-led · 3 h
- ISPSoft project setup; hardware, I/O addressing (X/Y/M/D), scan cycle and online monitoring.
- Supervised lab · 5 h
- Connect safely, download a basic programme and verify each input/output.
- Evidence
- I/O checkout and saved PLC project.
DAY 07Ladder logic and sequences
- Trainer-led · 3 h
- Contacts/coils, interlocks, SET/RST, timers, counters and start/stop behaviour. PLC logic is written by hand; AI may explain concepts only.
- Supervised lab · 5 h
- Build a conveyor sequence with reset and fault handling; verify restart behaviour.
- Evidence
- Sequence diagram and test cases.
DAY 08Data handling and diagnostics
- Trainer-led · 3 h
- Registers, MOV, comparisons, arithmetic, analog scaling and pulse/encoder introduction.
- Supervised lab · 5 h
- Add count, runtime and scaled analog tags; use watch tables to locate logic faults.
- Evidence
- Tag/register map and PLC diagnostic record.
DAY 09DOP HMI screen development
- Trainer-led · 3 h
- DOPSoft; Ethernet/RS485 connection to the PLC, buttons, status, alarms and trends.
- Supervised lab · 5 h
- Build operator screens and validate PLC/HMI tag links, bounds and alarm acknowledgement.
- Evidence
- HMI project and screen test sheet.
DAY 10Integrated machine simulation and brand rotation
- Trainer-led · 3 h
- PLC/HMI integration, mode selection, permissives and documentation; mapping the same logic to GX Works3 and TIA Portal.
- Supervised lab · 5 h
- Complete the conveyor/counting demonstrator with Run/Idle/Stop/Fault and fault recovery; pairs rotate to a premium station to port and test a core sequence.
- Evidence
- Mini-project 2, programme backup, individual logic check and brand-port record.
Outcome: Acquire data over RS485 and Ethernet and isolate common faults.
DAY 11Serial data fundamentals
- Trainer-led · 3 h
- Binary, hex, ASCII, bytes, signed values, baud rate, parity, stop bits and UART.
- Supervised lab · 5 h
- Use serial tools and loopback; decode a frame and compare incompatible settings.
- Evidence
- Serial settings sheet and decoded examples.
DAY 12RS232 and RS485 physical layers
- Trainer-led · 3 h
- Point-to-point versus bus wiring; pinouts, polarity, termination, biasing and grounding.
- Supervised lab · 5 h
- Build an isolated RS485 bus and RS232 loopback; inspect a termination/polarity fault.
- Evidence
- Bus diagram and physical-layer fault log.
DAY 13Modbus RTU transactions
- Trainer-led · 3 h
- Device ID, function codes, coils/registers, address offsets, CRC, timeouts and endianness.
- Supervised lab · 5 h
- Read an energy meter using its register map; validate scaling and perform a lab-only write.
- Evidence
- Verified register map and request/response trace.
DAY 14Ethernet and IPv4 foundations
- Trainer-led · 3 h
- MAC/IP, subnet mask, gateway, DHCP/static addressing, DNS, TCP/UDP and ports.
- Supervised lab · 5 h
- Crimp and test CAT6; build PLC-switch-HMI networking; diagnose IP/subnet faults.
- Evidence
- Cable test, IP plan and connectivity checklist.
DAY 15Modbus TCP and fault isolation
- Trainer-led · 3 h
- TCP transactions; RTU/TCP differences; Delta DVP-SE Modbus TCP configuration and packet capture.
- Supervised lab · 5 h
- Read mapped lab values over TCP; compare RTU; diagnose timeout, wrong address and port faults.
- Evidence
- Protocol practical, packet evidence and manual references.
Outcome: Build and validate a fault-tolerant, timestamped machine-data collector using AI-assisted coding.
DAY 16Python fundamentals by hand
- Trainer-led · 3 h
- Environment setup, types, conditions, loops, functions and debugging; reading code line by line. No AI code generation today.
- Supervised lab · 5 h
- Hand-write scaling, threshold and cycle-time functions with sample machine values; trace execution on paper.
- Evidence
- Hand-written script and boundary-case checks.
DAY 17Structured data and the AI workflow
- Trainer-led · 3 h
- Lists/dictionaries, JSON/CSV, exceptions and logging; the five-step AI workflow, prompt specifications and approved tool use.
- Supervised lab · 5 h
- Write a specification, generate a tag-configuration parser with AI, review it line by line and test it with bad records.
- Evidence
- Specification, prompt log, annotated review and test results.
DAY 18AI-assisted serial collector
- Trainer-led · 3 h
- Serial port lifecycle, framing, buffers and timeouts; common AI mistakes in serial code.
- Supervised lab · 5 h
- Generate and verify a serial collector; prove reconnection after cable removal and logging of invalid frames.
- Evidence
- Collector, review notes and recovery evidence.
DAY 19Modbus collector: generate and verify
- Trainer-led · 3 h
- PyModbus, data conversion, polling, retries and quality flags; why register maps come only from device manuals.
- Supervised lab · 5 h
- Build the collector with AI; cross-check every value with a Modbus client tool and the meter display; handle device loss without reporting stale data as valid.
- Evidence
- Collector, cross-check table and disconnect/reconnect test.
DAY 20REST integration and code-review test
- Trainer-led · 3 h
- HTTP GET/POST, status codes and FastAPI introduction; reviewing AI-generated code for hidden defects.
- Supervised lab · 5 h
- Post validated readings to a lab API; then complete an individual no-AI test: find and fix seeded bugs in AI-written code.
- Evidence
- Mini-project 3 and individual code-review test result.
Outcome: Build an embedded sensor node and compare it with an industrial gateway.
DAY 21Embedded C and ESP32 setup by hand
- Trainer-led · 3 h
- C types, arrays, functions, scope; toolchain and serial diagnostics. Pin and voltage decisions are made by the student, never by AI.
- Supervised lab · 5 h
- Compile/upload a hand-written application and read a low-voltage digital input.
- Evidence
- Build notes, source and student-designed pin map.
DAY 22Firmware structure with AI assistance
- Trainer-led · 3 h
- Structs, state machines, debounce, non-blocking timing; reviewing AI-generated firmware for blocking calls and unsafe start-up.
- Supervised lab · 5 h
- Generate an input-counting state machine with AI; verify safe startup state, debounce and configuration on hardware.
- Evidence
- Firmware, review notes and debounce test.
DAY 23ADC, interrupts and timing
- Trainer-led · 3 h
- ADC limits, scaling, interrupt hygiene, timers and watchdog concepts.
- Supervised lab · 5 h
- Acquire a conditioned analog signal and pulse count; verify timing and missed pulses with an oscilloscope rather than trusting the code.
- Evidence
- Sampling results and timing observations.
DAY 24Network and RS485 node
- Trainer-led · 3 h
- Wi-Fi/Ethernet, UART/RS485 transceiver, Modbus and electrical interface limits.
- Supervised lab · 5 h
- Connect a compatible RS485 device; acquire and encode readings; test network loss.
- Evidence
- Embedded data node and interface schematic.
DAY 25Embedded gateway mini-project
- Trainer-led · 3 h
- Debugging, configuration, restart recovery; DIY versus production gateway requirements.
- Supervised lab · 5 h
- Complete the ESP32 node; compare isolation, enclosure and serviceability with M-Connect if available.
- Evidence
- Mini-project 4, firmware repository and comparison sheet.
Outcome: Move qualified machine data through a reliable publish/subscribe pipeline.
DAY 26MQTT architecture and topics
- Trainer-led · 3 h
- Broker/client, publish/subscribe, topic hierarchy and JSON payload contracts.
- Supervised lab · 5 h
- Run a lab broker; publish machine tags and inspect them with an MQTT client.
- Evidence
- Topic tree and payload examples.
DAY 27Messaging behaviour
- Trainer-led · 3 h
- QoS 0/1/2, retained messages, Last Will, sessions, timestamps and duplicate handling.
- Supervised lab · 5 h
- Test reconnection, stale retained state and duplicate deliveries with sequence IDs.
- Evidence
- Delivery test matrix and freshness rules.
DAY 28Mosquitto operations
- Trainer-led · 3 h
- Broker setup, configuration, authentication, client tools and logs.
- Supervised lab · 5 h
- Configure named users and topic access rules; diagnose a blocked publish.
- Evidence
- Broker configuration and access test.
DAY 29Node-RED integration
- Trainer-led · 3 h
- Flows, MQTT/Modbus nodes, transformation, validation and flow error handling.
- Supervised lab · 5 h
- Convert PLC/meter data into standard machine messages; catch invalid or absent input.
- Evidence
- Exported flow and validation evidence.
DAY 30End-to-end messaging project
- Trainer-led · 3 h
- Pipeline review; polling versus events; resilience and diagnostic checkpoints.
- Supervised lab · 5 h
- Integrate the Delta PLC/meter or ESP32 to gateway and MQTT; test source/broker failure.
- Evidence
- Mini-project 5: working pipeline, logs and recovery record.
Outcome: Select and verify a connectivity route for an unfamiliar machine.
DAY 31OPC UA foundations
- Trainer-led · 3 h
- Server/client, information models; when to choose OPC UA, Modbus or MQTT.
- Supervised lab · 5 h
- Compare the same tag through a Modbus source and an OPC UA gateway/simulator.
- Evidence
- Protocol selection rationale and tag mapping.
DAY 32Browsing and data access
- Trainer-led · 3 h
- Namespaces, NodeId, types, timestamps, status codes and subscriptions.
- Supervised lab · 5 h
- Browse with UaExpert; read and subscribe to typed values; identify bad-quality data.
- Evidence
- Node list and subscription evidence.
DAY 33Secure OPC UA practical
- Trainer-led · 3 h
- Endpoints, certificates, trust lists, user access and secure-channel concepts.
- Supervised lab · 5 h
- Establish a secure lab session; diagnose untrusted certificate and wrong endpoint.
- Evidence
- Trust procedure and connection test.
DAY 34PLC to OPC UA integration
- Trainer-led · 3 h
- Gateway/driver architecture; Delta Modbus TCP and Mitsubishi SLMP routes; data mapping and rate limits.
- Supervised lab · 5 h
- Connect the Delta PLC through a supported gateway or OPC server, and the FX5U on the premium station; validate updates and quality.
- Evidence
- Connection configuration and freshness test.
DAY 35Siemens S7-1200 practical and machine discovery
- Trainer-led · 3 h
- Siemens S7-1200 and TIA Portal essentials; S7 and OPC UA access; Rockwell and CNC/FANUC exposure; manuals and licences.
- Supervised lab · 5 h
- Rotate on the Siemens station to monitor and read tags; investigate a machine brief using a shared device or simulator; propose tags and interface options.
- Evidence
- Siemens tag-read record, machine-connectivity study and individual manual-reading check.
Outcome: Commission and maintain an isolated edge application.
DAY 36Linux foundations
- Trainer-led · 3 h
- Ubuntu install/VM, filesystem, shell, users, permissions and network configuration.
- Supervised lab · 5 h
- Prepare an edge host, create an application account and inspect files/logs.
- Evidence
- Host build checklist and permissions evidence.
DAY 37Services and remote administration
- Trainer-led · 3 h
- SSH/SCP, packages, systemd, journal logs, time sync and service recovery; reviewing AI-drafted service files before use.
- Supervised lab · 5 h
- Deploy the collector as a service; restart/reboot and verify recovery and timestamps.
- Evidence
- Service definition and reboot test.
DAY 38Industrial network design
- Trainer-led · 3 h
- Subnets/routes, DNS/NAT, VLANs, firewall rules, dual NICs and approved remote access.
- Supervised lab · 5 h
- Build machine/server VLANs; allow required traffic; diagnose routing and firewall faults.
- Evidence
- Network diagram, rule list and packet evidence.
DAY 39Git and containers
- Trainer-led · 3 h
- Version history, branches, secrets hygiene; Docker images, volumes and networks; checking AI-drafted Dockerfiles and commands before running them.
- Supervised lab · 5 h
- Version a project and containerise one service with persistent data and configuration.
- Evidence
- Repository history and deployment manifest.
DAY 40Edge deployment checkpoint
- Trainer-led · 3 h
- Configuration, health checks, storage limits, offline buffering and restore strategy.
- Supervised lab · 5 h
- Deploy the pipeline; test network loss, process failure and buffered replay.
- Evidence
- Mini-project 6, deployment guide and resilience report.
Outcome: Create a traceable machine historian and an energy dashboard.
DAY 41Relational data and SQL
- Trainer-led · 3 h
- Keys, tables, constraints, INSERT/SELECT/UPDATE, filters and basic joins.
- Supervised lab · 5 h
- Create machine/tag tables and query a seeded industrial dataset.
- Evidence
- SQL scripts and query results.
DAY 42PostgreSQL ingestion
- Trainer-led · 3 h
- Roles, connection configuration, parameterised queries, transactions and timestamps.
- Supervised lab · 5 h
- Store MQTT/collector data with machine ID, units, quality and source time.
- Evidence
- Database schema and ingestion checks.
DAY 43Time-series data quality
- Trainer-led · 3 h
- Indexes, retention, UTC/timezones, sample gaps, deduplication and cumulative counters.
- Supervised lab · 5 h
- Handle replayed records, meter resets and missing samples; calculate valid energy deltas.
- Evidence
- Data-quality rules and verified daily totals.
DAY 44Grafana visualisation
- Trainer-led · 3 h
- PostgreSQL source, panels, variables, trends, units and query permissions.
- Supervised lab · 5 h
- Build machine-state and energy panels; identify stale/bad-quality measurements.
- Evidence
- Exported dashboard and visual validation.
DAY 45Alarms and reporting
- Trainer-led · 3 h
- Thresholds, alert persistence, report periods, acknowledgements and evidence.
- Supervised lab · 5 h
- Complete an energy dashboard with daily kWh, trends and gap reporting; test alert conditions.
- Evidence
- Mini-project 7: historian/dashboard with report and outage test.
Outcome: Convert machine events into defensible production metrics.
DAY 46Manufacturing data semantics
- Trainer-led · 3 h
- Cycles, shifts, setup, downtime, rejects, WIP, planned stops and reason codes.
- Supervised lab · 5 h
- Define a machine state model and generate timestamped events from the PLC simulation.
- Evidence
- State transition chart and shift/event log.
DAY 47OEE engineering
- Trainer-led · 3 h
- Availability, Performance, Quality; ideal cycle time, planned production time and exclusions.
- Supervised lab · 5 h
- Calculate OEE from collected events/counts; reconcile a worked dataset and flag anomalies.
- Evidence
- OEE calculation sheet and assumption register.
DAY 48SCADA functions
- Trainer-led · 3 h
- Tags, alarming, trends, historian, operator roles; Ignition or equivalent demonstration.
- Supervised lab · 5 h
- Configure a trial/simulator SCADA view with process status, alarms and historical trends.
- Evidence
- SCADA configuration and alarm test.
DAY 49MES workflows
- Trainer-led · 3 h
- Orders, operations, downtime reasons, traceability and quality records.
- Supervised lab · 5 h
- Build a lightweight order/count/reject workflow linked to machine events.
- Evidence
- Order-to-production trace and quality report.
DAY 50ISA-95 and integration
- Trainer-led · 3 h
- Enterprise/control boundaries; equipment, material, personnel and production information.
- Supervised lab · 5 h
- Map the lab solution to ISA-95 levels and exchange a simulated ERP order/report via API.
- Evidence
- Mini-project 8: OEE/MES view and capstone design review.
Outcome: Harden the lab system and prove installation readiness.
DAY 51OT risk and architecture
- Trainer-led · 3 h
- IT/OT priorities, asset inventory, threats, zones/conduits and change control.
- Supervised lab · 5 h
- Inventory the capstone assets and define trust boundaries and communication needs.
- Evidence
- Risk register and zone/conduit diagram.
DAY 52Segmentation and access
- Trainer-led · 3 h
- VLAN/firewall enforcement, least privilege, remote access and packet analysis.
- Supervised lab · 5 h
- Apply allow-listed flows; verify blocked paths and diagnose an approved connection failure.
- Evidence
- Rule set, access matrix and connectivity tests.
DAY 53Secure messaging and APIs
- Trainer-led · 3 h
- MQTT TLS, certificates, authentication, topic ACLs, API authorisation and secret storage.
- Supervised lab · 5 h
- Secure the lab broker/API; verify rejected credentials and certificate validation.
- Evidence
- Security configuration and negative test record.
DAY 54IEC 62443 introduction and recovery
- Trainer-led · 3 h
- Roles, lifecycle, risk assessment, security-level concepts, backup, logging and patch planning.
- Supervised lab · 5 h
- Back up and restore a service; review accounts/logs and document a maintenance window.
- Evidence
- Recovery drill, hardening checklist and IEC 62443 concept map.
DAY 55FAT/SAT and troubleshooting
- Trainer-led · 3 h
- Factory/site acceptance, I/O checkout, commissioning sequence, rollback and fault isolation.
- Supervised lab · 5 h
- Run an introduced multi-layer fault exercise and prepare capstone acceptance procedures.
- Evidence
- Individual troubleshooting test and draft FAT/SAT pack.
Outcome: Deliver, commission and defend a complete manufacturing monitoring system.
DAY 56Capstone build: controls and acquisition
- Trainer-led · 3 h
- Trainer design clinic: scope, tag contract, safe machine states and task ownership.
- Supervised lab · 5 h
- Complete PLC/HMI, meter/node integration and timestamped acquisition; resolve design gaps.
- Evidence
- Working controls, tag map and integration checkpoint.
DAY 57Capstone build: data and insight
- Trainer-led · 3 h
- Trainer review: historian, dashboards, OEE boundaries and data-quality checks.
- Supervised lab · 5 h
- Integrate storage, alarms, energy/OEE reporting and simulated MES order linkage.
- Evidence
- Working dashboard and verified report calculations.
DAY 58Capstone build: resilience and portfolio
- Trainer-led · 3 h
- Trainer review: security, recovery, documentation; CV and project-story coaching.
- Supervised lab · 5 h
- Test outages, restart and restore; finish repository and portfolio; rehearse explanations.
- Evidence
- Recovery evidence, CV and project demonstration draft.
DAY 59FAT/SAT and handover rehearsal
- Trainer-led · 3 h
- Trainer witnesses critical FAT checks; reviews deviations and technical presentation.
- Supervised lab · 5 h
- Run remaining lab SAT-style checks, close defects, package backups and present peer demos.
- Evidence
- Signed test record, known issues and handover pack.
DAY 60Final practical and technical interview
- Trainer-led · 3 h
- Individual practical station, technical viva and capstone defence during trainer block, without AI assistance.
- Supervised lab · 5 h
- Complete evidence checks, mock HR/group interviews, CV refinement and learning action plan.
- Evidence
- Final scorecard, individual competency record and portfolio.
AI-assisted engineering
Where AI is used
| Weeks | AI use |
|---|
| 1–3 | No AI code generation. Electrical work, PLC ladder logic, HMI and protocols are learned by hand; AI may be used only to explain concepts. |
| 4–5 | First two days of each week by hand (Python, embedded C), then AI-assisted builds under the five-step workflow. The Day 20 code-review test is done without AI. |
| 6–12 | AI-assisted for code, Node-RED functions, SQL, configuration files and documentation drafts; every output is reviewed, tested and logged. |
Register addresses, scaling, wiring, voltages, PLC interlocks and safety logic always
come from device manuals and the student, never from AI output. AI is not permitted in
troubleshooting and code-review tests, theory checks or the final practical/interview.
Applied learning
Eight builds, one integrated system
| Build | Hands-on scope |
|---|
| 1 · Sensor panel | Protected 24 VDC circuit, sensor I/O, object detection and measurement. |
| 2 · PLC + HMI cell | Delta DVP sequence, count/runtime, fault status and DOP screens; core logic ported to a second brand. |
| 3 · Python collector | RTU/TCP or serial acquisition, validation, timestamps and lab API. |
| 4 · ESP32 node | Embedded C, conditioned I/O, counting, network and RS485. |
| 5 · MQTT pipeline | Gateway/node to broker, topic contract and Node-RED transformation. |
| 6 · Edge deployment | Linux service/container, Git, isolation and buffering. |
| 7 · Energy historian | PostgreSQL, Grafana, kWh deltas, gaps and alerts. |
| 8 · Production insight | Machine events, OEE, SCADA/MES concepts and order linkage. |
Evaluation
Assessment and completion
Practical performance carries 95% of the course score; theory checks carry 5%.
| Assessment | Weight |
|---|
| Weekly practical labs | 25% |
| Mini-projects (eight staged builds) | 20% |
| Troubleshooting & code-review tests (no AI) | 15% |
| Final capstone | 25% |
| Final practical / technical interview | 10% |
| Theory checks | 5% |
- At least 90% attendance and all critical labs signed off.
- At least 60% overall, with at least 50% in troubleshooting tests, the capstone and the final individual practical.
- Pass the mandatory safe-wiring and equipment-use check and submit the capstone handover pack.
- Grading bands: Distinction 80%+, Merit 70–79%, Pass 60–69%.
Final project
Smart manufacturing capstone
A paired engineering build with individual defence and practical verification, integrating
the components developed across the course.
Sensors + Delta PLC + HMI / Modbus energy meter → gateway → MQTT / OPC UA → Ubuntu edge →
PostgreSQL → Grafana + production/OEE view → simulated MES/ERP API
- Machine Run/Idle/Stop/Fault states; production count, cycle time, downtime reasons, rejects, alarms and energy.
- A Modbus acquisition path plus an OPC UA demonstration; a consistent MQTT topic/payload contract.
- At least one ESP32 sensor/count node integrated into the solution.
- Timestamps, units, quality and stale-data indicators; OEE reconciled to raw events.
- Least-privilege access, network boundaries, restart recovery and offline buffering/replay.
Placement preparation
Career readiness
CV and portfolio review, project storytelling, technical mock interviews and employer-style fault
tasks run during Week 12. Interview practice covers scan cycles and interlocks, RS485 and IP
fault diagnosis, protocol choice, OPC UA quality, MQTT topic design, SQL, downtime/OEE,
certificate trust and critical review of AI-generated code.
This is a Maestro course completion programme. Vendor platforms and standards
are taught as technologies; the syllabus does not imply vendor endorsement, ISA/IEC
certification or a job guarantee. Placement assistance may include employer introductions and
interview referrals; employment is not guaranteed.
