81 Lessons( 20 week )

• Introduction to IIoT & Industry 4.0
• 1. Evolution from Traditional SCADA to IIoT 0 minute
• 2. Assessment – Evolution from traditional SCADA to IIoT 0 minute
• 3. Key Concepts: CPS, Digital Twins, Cloud-Edge Continuum 0 minute
• 4. Assessment- Key concepts: CPS, digital twins, cloud-edge continuum 0 minute
• 5. IT/OT Convergence and Reference Architectures (RAMI 4.0, ISA-95) 0 minute
• 6. Assessment- IT/OT convergence and reference architectures (RAMI 4.0, ISA-95) 0 minute
• 7. Real-world Case Studies: Process Automation, Discrete Manufacturing, Energy 0 minute
• 8. Assessment- Real-world case studies: process automation, discrete manufacturing, energy 0 minute
• Industrial Network Protocols & Data Acquisition
• 1. Protocols: Modbus TCP/RTU, OPC UA, MQTT, EtherNet/IP, Profinet 0 minute
• 2. Assessment- Protocols: Modbus TCP/RTU, OPC UA, MQTT, EtherNet/IP, Profinet 0 minute
• 3. Data Ingestion from PLCs, Sensors, and Legacy Devices 0 minute
• 4. Assessment- Data ingestion from PLCs, sensors, and legacy devices
• 5. Basics of SCADA, DCS, and HMI Integration
• 6. JSON-SCADA and Unified Namespace (UNS) Overview
• Linux, Containers and Networking
• 1. Linux Commands, Services, Networking (DHCP, DNS, NAT)
• 2. Introduction to Docker and Containerization
• 3. Edge Deployment Basics with Containerized Apps
• 4. Networking between Industrial Devices and Edge Gateways
• Cloud Platforms Overview
• 1. Introduction to AWS, Azure, and GCP in Industrial Contexts
• 2. Core services: EC2, IoT Core, S3, Pub/Sub, Functions
• 3. Setting Up Cloud VMs and Basic Storage
• 4. Building a Hybrid Cloud-Edge Scenario
• MQTT for Industrial Messaging
• 1. MQTT Brokers: Mosquitto, HiveMQ, EMQX
• 2. QoS levels, Retained Messages, Last Will, Topics
• 3. MQTT-SN and Security (TLS, ACLs, Authentication)
• 4. Publishing Telemetry from Sensors and PLCs
• Unified Namespace (UNS)
• 1. What is UNS and Why it matters for IIoT
• 2. Topic Hierarchy and Semantic Modeling (ISA-95 structure)
• 3. Implementation using MQTT Brokers and Node-RED
• 4. Integration with SCADA, MES and ERP
• Edge Development with Node-RED
• 1. Building Visual Data Flows for IIoT
• 2. OPC UA, MQTT, Modbus Nodes and Custom Logic
• 3. Deploying Node-RED on Raspberry Pi/Jetson Nano
• 4. REST APIs and Cloud Integration via Node-RED
• Edge Analytics
• 1. Real-time Processing with Node-RED & Python
• 2. Integrating CouchDB/InfluxDB for Local Storage
• 3. Lightweight Machine Learning at the Edge (TinyML)
• 4. Alerting, Rule Engines, and Condition Monitoring
• DevOps for Industrial Automation
• 1. Git Basics, CI/CD Concepts
• 2. Docker Compose, Docker Hub, Container Registries
• 3. Orchestrating IIoT Microservices
• Data Pipelines & Stream Processing
• 1. Apache Kafka, Azure Event Hub, AWS Kinesis
• 2. Stream vs Batch Processing for OT Data
• 3. Ingesting Time-Series Data into Cloud Databases (InfluxDB, TimescaleDB)
• 4. Data Lake vs Data Warehouse for IIoT
• Cloud IoT Services
• 1. AWS IoT Core, Azure IoT Hub, GCP IoT Core
• 2. Device Provisioning, Shadow State, Rules Engine
• 3. Pub/Sub, Cloud Triggers, and AWS Lambda
• 4. Edge Device Twin and Control from the Cloud
• Security in Industrial Cloud-Edge Systems
• 1. Device Authentication (X.509, PSK)
• 2. Secure OTA Updates and Firmware Lifecycle
• 3. Cloud IAM, API Gateways, Token-Based Auth
• 4. Edge Firewall and VLAN Segmentation
• Embedded Edge Devices
• 1. Raspberry Pi, Jetson Nano, BeagleBone for Industrial Edge
• 2. OS Options: Ubuntu Core, BalenaOS, Yocto
• 3. GPIO Control, Serial/I2C/SPI Communication
• Edge Gateway Architectures
• 1. Hardware Considerations: Compute, Storage, I/O, Power
• 2. Software Stack: Containers, OS, Security
• 3. Gateway Provisioning, Remote Monitoring
• Edge Inference & ML Deployment
• 1. Lightweight ML Models with TensorFlow Lite
• 2. Deploying Pre-Trained models for Predictive Maintenance
• 3. Running Edge AI Pipelines on Jetson Nano
• Industrial Applications of Edge
• 1. Smart Energy Monitoring
• 2. Condition-Based Maintenance
• 3. Process Anomaly Detection
• 4. Smart Dashboards at the Edge
• Understanding MES & ERP Systems
• 1. MES Functions and Role in ISA-95
• 2. Off-the-Shelf MES vs Custom MES (using open tools)
• 3. Data Flow between PLCs, MES, and ERP
• 4. Edge-MES Integration using APIs and MQTT
• Open Source MES Tools
• 1. Overview of MES Open Platforms (ErpNext, OpenMES, Custom Dashboards)
• 2. Building Basic Production Tracking and Job Orders
• 3. Cloud-Hosted MES and Hybrid Deployment Models
• Visualization and Dashboards
• 1. Grafana with MQTT, InfluxDB, and TimescaleDB
• 2. SCADA Dashboards using JSON-SCADA or Node-RED UI
• 3. Industrial HMI Design Principles
• 4. Alerts, KPIs, and Trend Analytics
• DataOps & Cloud Maintenance
• 1. Backup and Disaster Recovery Planning
• 2. Monitoring Tools: Prometheus, Telegraf, Nagios
• 3. Updating Cloud and Edge Systems
• 4. Scaling IIoT Applications