Lesson 1: IIoT, Industry 4.0, and Smart Manufacturing Foundations

IIoT architecture, cyber-physical systems, connected assets, sensors, and industrial applications
Industry 4.0 value drivers, predictive maintenance, quality, energy, safety, and asset utilization
OT and IT responsibilities, stakeholders, requirements, risks, and business-case development
Industrial data characteristics, timestamps, quality, context, and operational constraints
Proof-of-concept planning, scalability, lifecycle, support, and measurable outcomes

Create or review a practical configuration for iiot architecture, cyber-physical systems, connected assets, sensors, and industrial applications.
Build and test an exercise involving industry 4.0 value drivers, predictive maintenance, quality, energy, safety, and asset utilization and ot and it responsibilities, stakeholders, requirements, risks, and business-case development.
Use diagnostics or evidence to validate proof-of-concept planning, scalability, lifecycle, support, and measurable outcomes.

Explain iiot architecture, cyber-physical systems, connected assets, sensors, and industrial applications.
Apply industry 4.0 value drivers, predictive maintenance, quality, energy, safety, and asset utilization and ot and it responsibilities, stakeholders, requirements, risks, and business-case development.
Validate and troubleshoot proof-of-concept planning, scalability, lifecycle, support, and measurable outcomes.

Lesson Overview