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Cloud & Edge Systems

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Cloud & Edge Systems_FP

Cloud & Edge Systems

Curriculum

20 Sections
75 Lessons
20 Weeks

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Introduction to IIoT & Industry 4.0
8
- 1.1
  Evolution from Traditional SCADA to IIoT
- 1.2
  Assessment – Evolution from traditional SCADA to IIoT
  12 Questions
- 1.3
  Key Concepts: CPS, Digital Twins, Cloud-Edge Continuum
- 1.4
  Assessment- Key concepts: CPS, digital twins, cloud-edge continuum
  6 Questions
- 1.5
  IT/OT Convergence and Reference Architectures (RAMI 4.0, ISA-95)
- 1.6
  Assessment- IT/OT convergence and reference architectures (RAMI 4.0, ISA-95)
  8 Questions
- 1.7
  Real-world Case Studies: Process Automation, Discrete Manufacturing, Energy
- 1.8
  Assessment- Real-world case studies: process automation, discrete manufacturing, energy
  10 Questions
Industrial Network Protocols & Data Acquisition
8
- 2.1
  Protocols: Modbus TCP/RTU, OPC UA, MQTT, EtherNet/IP, Profinet
- 2.2
  Assessment- Protocols: Modbus TCP/RTU, OPC UA, MQTT, EtherNet/IP, Profinet
  10 Questions
- 2.3
  Data Ingestion from PLCs, Sensors, and Legacy Devices
- 2.4
  Assessment- Data ingestion from PLCs, sensors, and legacy devices
  10 Questions
- 2.5
  Basics of SCADA, DCS, and HMI Integration
- 2.6
  Assessment- Basics of SCADA, DCS, and HMI integration
  10 Questions
- 2.7
  JSON-SCADA and Unified Namespace (UNS) Overview
- 2.8
  Assessment- JSON-SCADA and Unified Namespace (UNS) overview
  0 Questions
Linux, Containers and Networking
4
- 3.1
  Linux Commands, Services, Networking (DHCP, DNS, NAT)
- 3.2
  Introduction to Docker and Containerization
- 3.3
  Edge Deployment Basics with Containerized Apps
- 3.4
  Networking between Industrial Devices and Edge Gateways
Cloud Platforms Overview
4
- 4.1
  Introduction to AWS, Azure, and GCP in Industrial Contexts
- 4.2
  Core services: EC2, IoT Core, S3, Pub/Sub, Functions
- 4.3
  Setting Up Cloud VMs and Basic Storage
- 4.4
  Building a Hybrid Cloud-Edge Scenario
MQTT for Industrial Messaging
4
- 5.1
  MQTT Brokers: Mosquitto, HiveMQ, EMQX
- 5.2
  QoS levels, Retained Messages, Last Will, Topics
- 5.3
  MQTT-SN and Security (TLS, ACLs, Authentication)
- 5.4
  Publishing Telemetry from Sensors and PLCs
Unified Namespace (UNS)
4
- 6.1
  What is UNS and Why it matters for IIoT
- 6.2
  Topic Hierarchy and Semantic Modeling (ISA-95 structure)
- 6.3
  Implementation using MQTT Brokers and Node-RED
- 6.4
  Integration with SCADA, MES and ERP
Edge Development with Node-RED
4
- 7.1
  Building Visual Data Flows for IIoT
- 7.2
  OPC UA, MQTT, Modbus Nodes and Custom Logic
- 7.3
  Deploying Node-RED on Raspberry Pi/Jetson Nano
- 7.4
  REST APIs and Cloud Integration via Node-RED
Edge Analytics
4
- 8.1
  Real-time Processing with Node-RED & Python
- 8.2
  Integrating CouchDB/InfluxDB for Local Storage
- 8.3
  Lightweight Machine Learning at the Edge (TinyML)
- 8.4
  Alerting, Rule Engines, and Condition Monitoring
DevOps for Industrial Automation
3
- 9.1
  Git Basics, CI/CD Concepts
- 9.2
  Docker Compose, Docker Hub, Container Registries
- 9.3
  Orchestrating IIoT Microservices
Data Pipelines & Stream Processing
4
- 10.1
  Apache Kafka, Azure Event Hub, AWS Kinesis
- 10.2
  Stream vs Batch Processing for OT Data
- 10.3
  Ingesting Time-Series Data into Cloud Databases (InfluxDB, TimescaleDB)
- 10.4
  Data Lake vs Data Warehouse for IIoT
Cloud IoT Services
4
- 11.1
  AWS IoT Core, Azure IoT Hub, GCP IoT Core
- 11.2
  Device Provisioning, Shadow State, Rules Engine
- 11.3
  Pub/Sub, Cloud Triggers, and AWS Lambda
- 11.4
  Edge Device Twin and Control from the Cloud
Security in Industrial Cloud-Edge Systems
4
- 12.1
  Device Authentication (X.509, PSK)
- 12.2
  Secure OTA Updates and Firmware Lifecycle
- 12.3
  Cloud IAM, API Gateways, Token-Based Auth
- 12.4
  Edge Firewall and VLAN Segmentation
Embedded Edge Devices
3
- 13.1
  Raspberry Pi, Jetson Nano, BeagleBone for Industrial Edge
- 13.2
  OS Options: Ubuntu Core, BalenaOS, Yocto
- 13.3
  GPIO Control, Serial/I2C/SPI Communication
Edge Gateway Architectures
3
- 14.1
  Hardware Considerations: Compute, Storage, I/O, Power
- 14.2
  Software Stack: Containers, OS, Security
- 14.3
  Gateway Provisioning, Remote Monitoring
Edge Inference & ML Deployment
3
- 15.1
  Lightweight ML Models with TensorFlow Lite
- 15.2
  Deploying Pre-Trained models for Predictive Maintenance
- 15.3
  Running Edge AI Pipelines on Jetson Nano
Industrial Applications of Edge
4
- 16.1
  Smart Energy Monitoring
- 16.2
  Condition-Based Maintenance
- 16.3
  Process Anomaly Detection
- 16.4
  Smart Dashboards at the Edge
Understanding MES & ERP Systems
4
- 17.1
  MES Functions and Role in ISA-95
- 17.2
  Off-the-Shelf MES vs Custom MES (using open tools)
- 17.3
  Data Flow between PLCs, MES, and ERP
- 17.4
  Edge-MES Integration using APIs and MQTT
Open Source MES Tools
3
- 18.1
  Overview of MES Open Platforms (ErpNext, OpenMES, Custom Dashboards)
- 18.2
  Building Basic Production Tracking and Job Orders
- 18.3
  Cloud-Hosted MES and Hybrid Deployment Models
Visualization and Dashboards
4
- 19.1
  Grafana with MQTT, InfluxDB, and TimescaleDB
- 19.2
  SCADA Dashboards using JSON-SCADA or Node-RED UI
- 19.3
  Industrial HMI Design Principles
- 19.4
  Alerts, KPIs, and Trend Analytics
DataOps & Cloud Maintenance
4
- 20.1
  Backup and Disaster Recovery Planning
- 20.2
  Monitoring Tools: Prometheus, Telegraf, Nagios
- 20.3
  Updating Cloud and Edge Systems
- 20.4
  Scaling IIoT Applications

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Assessment – Evolution from traditional SCADA to IIoT

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