Hands-on AI for the human-centred factory of Industry 5.0.
Data Science & Analytics
Module-by-module breakdown of Industry 5.0: Hands-on AI in Manufacturing, from foundations to a certified capstone project.
Paradigm
β’ Human-centricity, resilience and sustainability as the three stated pillars
β’ Automation that augments an operator rather than replacing them
β’ Where the label is genuinely new and where it is rebranding
Collaboration
β’ Cobot operating modes and the safety requirements of ISO/TS 15066
β’ Speed and separation monitoring, power and force limiting in practice
β’ Task allocation between human and machine on capability, not cost alone
Intelligence
β’ Vision-based quality inspection and the defect classes with too few examples
β’ Operator assistance: guidance, augmented reality and adaptive instructions
β’ Explainability, because an operator will not act on an unexplained alert
Flexibility
β’ Batch-size-one production and the changeover cost it demands solving
β’ Reconfigurable lines, digital thread and traceability per unit
β’ Scheduling and planning under high product variety
Resilience
β’ Energy and material monitoring, and emissions accounting on the line
β’ Supply chain disruption, redundancy and the cost of resilience
β’ Workforce skills, acceptance and change management as the real constraint
e-Certificate and e-Marksheet issued on successful completion.