Master Advanced Manufacturing and Smart Factories in 6 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Advanced Manufacturing and Smart Factories, from foundations to a certified capstone project.
Paradigm
β’ Cyber-physical systems and the field β edge β cloud layering of a modern plant
β’ Industry 4.0 and 5.0 claims separated from the parts that are genuinely new
β’ Why most "smart factory" failures are integration failures, not technology gaps
Connectivity
β’ Sensors, PLCs and gateways, and the OPC UA and MQTT protocols that move their data
β’ Brownfield retrofits β extracting data from machines never designed to share it
β’ OT/IT convergence and the security exposure it creates on the production network
Analytics
β’ Time-series condition monitoring and predictive maintenance on vibration and current signals
β’ The cost asymmetry between a false alarm and a missed failure, and how it sets thresholds
β’ Baseline drift as equipment ages, and why a model tuned at commissioning decays
Digital Twins
β’ Physics-based and data-driven twins, and what each can and cannot represent
β’ Synchronising a twin with live data and the latency budget that keeps it useful
β’ Simulation for line balancing and what-if analysis instead of trial on real production
Automation
β’ Collaborative-robot operating modes and the safety requirements of ISO/TS 15066
β’ Speed-and-separation monitoring and power-and-force limiting in a real cell
β’ Allocating tasks between human and machine on capability and variability, not labour cost alone
Capstone
β’ Scoping a predictive-maintenance or automated-inspection case with a measurable payback
β’ Tracing the path from a raw sensor signal to an operator-facing decision
β’ Presenting the business case honestly, including where the data or ROI does not yet support it
e-Certificate and e-Marksheet issued on successful completion.