Industrial IoT and Smart Factory Automation Training Course

Module 1: Introduction to IIoT and Industry 4.0

• Evolution of manufacturing: From steam power to the Fourth Industrial Revolution
• Defining the IIoT ecosystem: Devices, connectivity, data, and applications
• Business drivers for smart factories: Efficiency, flexibility, and sustainability
• Key challenges in implementation: Interoperability, legacy systems, and skill gaps
• The role of Digital Twins in modern industrial design and monitoring
• Practical session: Conduct a "Smart Factory Readiness" audit on a simulated industrial environment

Module 2: Sensors, Actuators, and Industrial Hardware

• Overview of industrial sensors: Temperature, pressure, vibration, and flow
• Smart sensors vs. traditional sensors: Built-in processing and communication
• Understanding actuators: Controlling physical processes from digital signals
• Hardware selection criteria for harsh industrial environments (IP ratings and durability)
• Power management for IoT devices: PoE, battery-operated, and energy harvesting
• Practical session: Wiring and calibrating a multi-sensor array to an industrial microcontroller

Module 3: Industrial Communication Protocols

• Wired protocols: Ethernet/IP, Profinet, and Modbus TCP/RTU
• Wireless technologies: Wi-Fi 6, Bluetooth Low Energy (BLE), and Zigbee
• Long-range connectivity: LoRaWAN and NB-IoT for wide-area industrial tracking
• Messaging protocols for the IoT: Deep dive into MQTT and AMQP
• Understanding OPC-UA as the standard for vendor-neutral interoperability
• Practical session: Configuring an MQTT broker to publish and subscribe to sensor data streams

Module 4: Edge Computing and Gateway Integration

• The necessity of Edge Computing: Latency, bandwidth, and data privacy
• Selecting and configuring Industrial Gateways for protocol translation
• Local data processing: Filtering, aggregation, and threshold triggering at the edge
• Deploying containerized applications (Docker) on edge devices
• Real-time decision making without cloud dependency
• Practical session: Setting up an edge gateway to filter "noise" from sensor data before cloud transmission

Module 5: IIoT Cloud Platforms and Data Management

• Comparison of major platforms: AWS IoT Core, Azure IoT Hub, and Google Cloud IoT
• Data ingestion strategies for high-frequency industrial telemetry
• Understanding Time-Series Databases (TSDB) for historical industrial data
• Device management: Provisioning, firmware updates (OTA), and monitoring at scale
• Cost optimization strategies for cloud-based industrial storage
• Practical session: Creating a cloud-based "Device Twin" to monitor and control a remote hardware asset

Module 6: Smart Factory Automation and Control Systems

• Integrating PLCs (Programmable Logic Controllers) with IoT networks
• SCADA vs. IIoT: Complementary roles in modern factory automation
• Distributed Control Systems (DCS) in the context of smart manufacturing
• Implementing "Closed-Loop" automation using IoT feedback
• Robotic integration: Connecting cobots to the factory-wide data network
• Practical session: Establishing a bidirectional data link between a PLC and a cloud-based dashboard

Module 7: Industrial Data Analytics and Visualization

• Key Performance Indicators (KPIs) for smart factories: OEE, MTBF, and MTTR
• Building real-time dashboards for plant-floor visibility
• Introduction to Machine Learning for detecting process anomalies
• Using augmented reality (AR) for assisted maintenance and data visualization
• Transitioning from descriptive to prescriptive analytics on the factory floor
• Practical session: Designing a real-time OEE (Overall Equipment Effectiveness) dashboard using live data

Module 8: Cybersecurity for Industrial IoT

• Understanding the IT/OT security gap and the Purdue Model
• Common attack vectors in industrial networks: From sensors to the cloud
• Implementing Zero Trust Architecture and network segmentation (VLANs)
• Securing device identities: Certificates, keys, and secure boot
• Compliance standards: ISO 27001 and IEC 62443 for industrial security
• Practical session: Performing a vulnerability scan and securing a gateway’s communication ports

Module 9: Predictive Maintenance and Asset Tracking

• Moving from reactive to proactive: The data science of predictive maintenance
• Vibration and thermal analysis for early fault detection in motors and bearings
• Indoor positioning systems (IPS): Tracking raw materials and tools across the factory
• RFID and BLE for automated inventory management and WIP (Work in Progress) tracking
• Calculating ROI for predictive maintenance deployments
• Practical session: Building a simple anomaly detection alert based on motor vibration data

Module 10: Scaling IIoT and Future Trends

• Pilot-to-Production: Strategies for scaling IoT across multiple factory sites
• The impact of 5G on ultra-reliable low-latency industrial communication
• Generative AI and LLMs in industrial troubleshooting and documentation
• Circular economy and sustainability: Using IoT to track carbon footprints
• Developing a long-term Smart Factory roadmap for the next decade
• Practical session: Designing a phased rollout plan for a multi-site IIoT transformation project

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Phoenix Training Center admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254725012095 / +254724452588