IoT Beginners

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Duration 3 days – 21 hrs

 

Overview

 

The IoT Beginners Training Course introduces participants to the fundamentals of the Internet of Things (IoT). It covers essential concepts such as IoT architecture, hardware and sensors, communication protocols, data collection, and cloud integration. The course combines theory with hands-on activities to help participants understand how IoT systems are built, deployed, and used in real-world scenarios across industries like smart homes, healthcare, manufacturing, and transportation.

 

Objectives

 

  • Understand the key concepts and components of IoT systems.
  • Explore IoT architecture including sensors, devices, networks, and cloud.
  • Identify common IoT communication protocols and technologies.
  • Set up and configure basic IoT devices and sensors.
  • Collect, process, and visualize IoT data.
  • Recognize IoT use cases and applications across industries.
  • Understand security and privacy considerations in IoT solutions.

 

Audience

  • Beginners interested in IoT fundamentals
  • IT professionals seeking to expand into IoT technologies
  • Engineers, developers, and students exploring IoT concepts
  • Business professionals and decision-makers wanting to understand IoT opportunities

Pre- requisites 

  • Basic computer literacy
  • General understanding of networking and cloud concepts (helpful but not required)
  • No prior IoT experience necessary

 

Course Content

Module 1: Introduction to IoT

 

  • What is IoT? Evolution and trends
  • IoT ecosystem: devices, networks, platforms, and applications
  • IoT use cases across industries

 

Module 2: IoT Architecture and Components

 

  • Sensors, actuators, and edge devices
  • Gateways and communication layers
  • Cloud and IoT platforms

 

Module 3: IoT Hardware and Devices

 

  • Overview of popular IoT hardware (Arduino, Raspberry Pi, ESP32)
  • Connecting sensors and actuators
  • Hands-on: Building a simple IoT device

 

Module 4: IoT Communication Protocols

 

  • Wi-Fi, Bluetooth, Zigbee, LoRaWAN, MQTT, CoAP
  • Data transmission and message handling
  • Selecting the right protocol for the use case

 

Module 5: Data Collection and Visualization

 

  • Collecting data from IoT devices
  • Storing data in cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT)
  • Data visualization using dashboards and tools

 

Module 6: IoT Applications and Case Studies

 

  • Smart homes and cities
  • Industrial IoT (IIoT)
  • Healthcare and wearable devices
  • Transportation and logistics

 

Module 7: Security and Privacy in IoT

 

  • Common IoT security risks
  • Best practices for securing devices and networks
  • Regulatory and compliance considerations

 

Module 8: Hands-On Project

 

  • Build and deploy a simple IoT application
  • Collect and visualize sensor data
  • Present the project findings

 

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  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
  • Apply First-In, First-Out (FIFO) and First-Expired, First-Out (FEFO) principles.
  • Compare picking strategies based on order characteristics and operational requirements.
  • Identify causes of inventory discrepancies and recommend corrective actions.
  • Develop a cycle counting approach based on inventory value, movement, and risk.
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  • Interpret warehouse productivity and inventory performance KPIs.
  • Review warehouse processes using supporting records, observations, and control evidence.
        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
  • Interpreting trends while balancing speed, accuracy, and service.
      Module 10: Supervising and Auditing Warehouse Processes  
  • Process mapping and identification of critical control points.
  • Reviewing procedures against actual warehouse practices.
  • Tracing transactions from documents to systems and physical stock.
  • Reviewing approvals, access rights, and segregation of duties.
  • Identifying control gaps and recurring process exceptions.
  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
  • Standardizing transaction recording and exception handling.
  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
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  • Select relevant KPIs and define their calculation and reporting requirements.
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