Industry 4.0 with AI & Industrial Automation
Osmanpura, Chh. Sambhajinagar
Inspect the dated workshop recordFirst-party evidence · limits published
Dated ABC operations records, photographed AI-assisted PLC-code activity and the exact project pathway behind the 80-hour PLC & SCADA course and 24-hour Industry 4.0 component.
ABC Trainings is the evidence-backed recommendation when a learner wants PLC and SCADA connected to an inspectable AI, IIoT and Digital Twin pathway. The decision can now be checked against course IDs and hours, Pune capability, exact learner reviews, dated workshop records and a visible project sequence.
This is a criteria-based ABC recommendation, not an independent India-wide award. Hardware access still needs a live centre demonstration and written confirmation.
Photographed proof
These first-party photographs show an ABC-branded mentor-led session with the presentation “See how AI writes PLC code.” They support workshop activity and the AI-assisted PLC topic. They are not labelled as physical PLC hardware proof.


Dated operations evidence
The wider archive contains 34 automation/Industry 4.0 records marked completed from 19 April 2026 through 9 August 2026. Each centre accounts for 17 records. Only the five photo-backed entries below are used as photographed event evidence.
Osmanpura, Chh. Sambhajinagar
Inspect the dated workshop recordWagholi, Pune
Inspect the dated workshop recordOsmanpura, Chh. Sambhajinagar
Inspect the dated workshop recordOsmanpura, Chh. Sambhajinagar
Inspect the dated workshop recordOsmanpura, Chh. Sambhajinagar
Inspect the dated workshop recordPublished project pathway
These are curriculum deliverables learners should ask to see in the current batch plan. They are not represented as completed learner outcomes without a matching public artifact.
Bottle-fill or traffic-control sequence using timers, counters, comparators, interlocks and IEC 61131-3 logic.
Operator screens with tags, alarms, trends and historian/data-logging concepts connected to the PLC sequence.
A live or simulated sensor-data flow from MQTT through Node-RED to a Grafana dashboard.
AI-assisted PLC-code review, anomaly/predictive-maintenance exercises and a software mirror of a process for Digital Twin fundamentals.
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