Engineering Training

Smart Manufacturing & Industrial IoT

Learn how sensors, connected machines and production data work together to improve reliability and quality.

◷ 10 hoursLevel: Beginner to intermediate

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What you will learn

Identify core Industry 4.0 concepts; map a simple sensor-to-dashboard workflow; interpret basic production indicators; propose a practical IoT improvement.

Training modules

• Industry 4.0 and use-case selection
• Sensors, connectivity and data flow
• Monitoring, quality and predictive maintenance
• Mini-project: design an IoT improvement for a production line

Practical output: Create a one-page IoT deployment concept with a system diagram, chosen indicators and a short implementation plan.

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Engineering Training

CAD Design & 3D Printing for Engineering Prototypes

Turn an engineering idea into a manufacturable 3D model, then prepare and evaluate a printed prototype.

◷ 12 hoursLevel: Beginner

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What you will learn

Create a constrained 3D part; select a suitable print orientation and settings; assess fit and surface quality; document a prototype iteration.

Training modules

• CAD foundations and design intent
• Parametric modelling and constraints
• Slicing, materials and print preparation
• Prototype build, testing and iteration

Practical output: Produce a dimensioned CAD part, print-ready file and short test-and-improvement note.

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Engineering Training

Renewable Energy Systems & Energy Efficiency

Explore solar and wind system basics alongside practical methods for measuring and improving energy use.

◷ 12 hoursLevel: Beginner to intermediate

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What you will learn

Compare renewable system components; read a simple energy profile; estimate basic performance and savings; recommend a feasible efficiency measure.

Training modules

• Energy use, demand and efficiency basics
• Solar PV and wind system components
• Performance, storage and monitoring
• Mini-project: propose an energy improvement plan

Practical output: Deliver a short site energy proposal with a baseline, recommended measure and estimated performance assumptions.

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Training durations and module outlines are indicative and can be adapted to the learner group. Contact Microcredentials Lab for dates, delivery format and enrollment details.