IoT-Driven Predictive Maintenance in Manufacturing Training Course Tech For Development (T4D)

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IoT-Driven Predictive Maintenance in Manufacturing Training Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate

Course Overview

Course Summary

Course Title	IoT-Driven Predictive Maintenance in Manufacturing Training Course
Organization	Tech For Development (T4D)
Venue	Tech For Development (T4D) Training Centre
Duration	5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face)	USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual)	USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes	Virtual and face-to-face training
Payment	Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation	Tech For Development Certificate of Course Completion

Course Overview
This course is focused on the implementation of IoT-driven predictive maintenance strategies in manufacturing environments. Participants will learn how to use IoT devices and sensors to monitor equipment health, predict failures, and schedule maintenance activities proactively. The course covers the fundamentals of predictive maintenance, IoT sensor technologies, data analytics, and real-world case studies, providing participants with the knowledge and tools needed to enhance equipment reliability and reduce downtime.

Duration

5 days

Target Audience

Maintenance engineers and managers
IoT specialists in the manufacturing sector
Reliability and quality assurance professionals
Operations managers and supervisors
IT professionals supporting manufacturing operations

Course Objectives

Understand the principles of predictive maintenance in manufacturing.
Learn how to implement IoT-driven maintenance strategies.
Develop skills in using IoT sensors for equipment monitoring.
Apply data analytics to predict equipment failures.
Explore the benefits and ROI of predictive maintenance systems.

Course Modules

Course Outline

Module 1: Introduction to Predictive Maintenance

Overview of maintenance strategies in manufacturing
Principles and benefits of predictive maintenance
Transitioning from reactive to predictive maintenance
Case Study: Implementing predictive maintenance in a heavy equipment manufacturing plant

Module 2: IoT Sensors and Technologies for Maintenance

Types of IoT sensors used in predictive maintenance
Real-time monitoring of equipment health
Integrating IoT sensors with existing maintenance systems
Case Study: Using vibration sensors to monitor critical machinery

Module 3: Data Collection and Analysis for Predictive Maintenance

Collecting and managing data from IoT devices
Techniques for analyzing maintenance data
Predictive algorithms for failure detection
Case Study: Predicting motor failures using IoT data analytics

Module 4: Designing IoT-Driven Predictive Maintenance Systems

Best practices for designing predictive maintenance solutions
Integrating IoT systems with CMMS (Computerized Maintenance Management Systems)
Ensuring scalability and reliability of predictive maintenance systems
Case Study: Developing a predictive maintenance system for a large manufacturing plant

Module 5: ROI and Future Trends in Predictive Maintenance

Calculating the ROI of predictive maintenance implementations
Case studies of successful predictive maintenance deployments
Future trends in IoT and predictive maintenance technologies
Case Study: Achieving significant cost savings through IoT-driven predictive maintenance

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
Nairobi
14 Dec - 18 Dec	KES 99,000 \| $1,500	Register

Johannesberg
14 Dec - 18 Dec	$3,100	Register

Mombasa
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Kigali
14 Dec - 18 Dec	$1,850	Register

Addis Ababa
14 Dec - 18 Dec	$3,100	Register

Kuala Lumpur
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Accra
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Cairo
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Cape Town
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Pretoria
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Dar es Salaam
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Kisumu
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Arusha
14 Dec - 18 Dec	$2,100	Register

Machakos
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Kampala
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Dubai
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Zanzibar
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2027 Schedules
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IoT-Driven Predictive Maintenance in Manufacturing Training Course

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Course Administration

Methodology

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IoT-Driven Predictive Maintenance in Manufacturing Training Course

Course Overview

Course Modules

Course Administration

Methodology

Accreditation

Training Venue

Accommodation & Airport Transfer

Tailor-Made

Payment

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