Course Overview
About Course
The 40-hour Industrial Internet of Things (IIoT) Training equips engineers, cybersecurity professionals, and operations managers with practical skills for designing, implementing, and securing industrial systems. It begins with a foundation in IIoT concepts versus standard IoT, paired with an Industry 4.0 framework that highlights how connected devices transform manufacturing and infrastructure
Building on theory, the course dives into Operational Technology, covering PLCs, SCADA and DCS systems that form the backbone of manufacturing automation . This intel is reinforced with labs simulating real-world PLC–SCADA data flows and control logic. Participants then explore industrial communication protocols such as MQTT, Modbus, OPC-UA, and LPWAN systems with hands-on traffic monitoring and configuration labs .
Edge computing is introduced next, with focus on gateway deployment and lightweight data preprocessing near devices. Data pipelines are constructed to enable predictive maintenance via real-time analytics supported by anomaly detection using Jupyter notebooks. These insights are grounded in IIoT-specific research demonstrating machine learning’s power in industrial anomaly detection .
Security permeates the curriculum through a comprehensive treatment of IoT threat vectors, device hardening, secure firmware, and multifaceted defence aligned with IEC 62443 and SESIP standards . Learners actively engage in threat modeling, secure configuration, and segmentation labs. Advanced detection modules incorporate ML-based IDS and forensic analysis to spot anomalies and respond to simulated incidents .
The final cloud integration module covers ingestion to enterprise systems using AWS, Azure, and IBM Watson IoT—closing the loop on hybrid-edge-cloud IIoT architectures . The capstone integrates all modules in a red-team style CTF challenge, requiring teams to architect a secure IIoT deployment, defend it under attack, and respond with forensic rigor.
With live lab-based learning (>60%), industry-standard frameworks, and certification-aligned content, graduates emerge ready to lead IIoT implementations, secure critical infrastructure, and leverage data intelligence within modern industrial environments.
Course Syllabus
Module 1: IIoT Foundations & Industry 4.0 (4 h)
- Topics: Definition of IIoT vs. IoT, Industry 4.0 introduction, ecosystem components (sensors, OT, IT)
- Description: Introduces core IIoT principles and transformations in industrial automation .
- Features: Interactive case studies and architecture mapping exercises.
Module 2: OT & Control Systems (PLC/SCADA) (5 h)
- Topics: PLCs, SCADA/HMI, DCS, OT networking
- Description: Learn operational control systems at the heart of industrial automation
- Features: Hands-on lab with simulated PLC and SCADA flows.
Module 3: IIoT Communication Protocols (5 h)
- Topics: MQTT, OPC-UA, Modbus, 6LoWPAN, wireless (LoRaWAN, BLE)
- Description: Evaluate industrial protocols and secure edge-to-cloud connectivity
- Features: Protocol traffic capture and configuration labs.
Module 4: Edge Computing & Gateways (4 h)
- Topics: Edge vs. cloud paradigms, gateway deployment, fog computing
- Description: Build edge processing layers that buffer and preprocess sensor data.
- Features: Virtual environment gateway deployment and analytics.
Module 5: Data Analytics & Predictive Maintenance (5 h)
- Topics: Real‑time analytics, predictive algorithms, dashboards
- Description: Leverage IIoT data for maintenance and operational insights
- Features: Jupyter labs with anomaly detection and visualization.
Module 6: IIoT Security & Standards (6 h)
- Topics: Threats, defence‑in‑depth, IEC 62443, SESIP, NIST Cybersecurity Framework
- Description: Secure OT/IT convergence in line with standards
- Features: Threat modeling labs and configuration hardening exercises.
Module 7: Device & Network Hardening (4 h)
- Topics: Secure boot, firmware updates, edge device resilience, network segmentation
- Description: Protect devices from compromise and secure P2P communication.
- Features: Secure firmware OTA, segmentation drills.
Module 8: Threat Detection & Anomaly Insights (4 h)
- Topics: ML-based IDS, forensic analytics, log-based detection
- Description: Apply AI/ML techniques to detect anomalies and cyber attacks
- Features: Build edge anomaly models and simulated intrusion detection.
Module 9: Cloud & Enterprise Integration (4 h)
- Topics: IIoT platforms (Azure, AWS, IBM Watson), edge-to-cloud pipeline, enterprise integration
- Description: Secure data storage and processing via hybrid / multi-cloud pipelines .
- Features: Labs with AWS IoT or Azure IoT Hub ingestion and analytics.
Module 10: Capstone Project (3 h)
- Description: Team-based project combining system design, security, analytics, and response.
- Features: Capture-the-flag simulation of a real-world IIoT security breach.
Key Features
- Expert-led live sessions with real-world IIoT specialists
- >60% hands-on labs covering PLCs, sensors, edge, analytics, and security
- Industry-standard frameworks: IEC 62443, SESIP, NIST, CSA
- AI/ML-based threat detection labs reflecting current research
- Comprehensive capstone integrating architecture, security, and incident response
- Self-study resources: whitepapers, lab guides, threat templates
- Certification-aligned prep: IIC, ABB IIoT security, SESIP, industrial cyber credentials
- Continuous lab sandboxes for extended practice
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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