Real-time Architecture & IoT Platform

Comprehensive course on Real-time architecture and IoT Platform. Includes MQTT Protocol, Edge Computing, Digital Twin, Time-Series Database (TimescaleDB, InfluxDB), Stream Processing, Device Management, OTA Updates, Real-time Monitoring Dashboard. Applications in Smart Factory, Smart Building, Connected Vehicles, and Agriculture IoT. Practical case studies from AWS IoT, Azure IoT, and Industrial IoT systems. Updated 2026.

Part 1: IoT Foundations

Lesson 1: Overview of IoT Platform - Architecture & Ecosystem90 min Lesson 2: IoT Protocols - MQTT, CoAP, AMQP & WebSocket120 min Lesson 3: Platform Architecture Overview - Cloud-Edge Hybrid90 min

Part 2: Device & Connectivity

Lesson 4: Device Management - Provisioning, Registry & Lifecycle120 min Lesson 5: IoT Security - Device Authentication & Encryption120 min Lesson 6: OTA Updates & Remote Configuration90 min Lesson 7: Gateway Architecture & Protocol Translation90 min

Part 3: Edge Computing

Lesson 8: Edge Computing Architecture - Processing at the Edge120 min Lesson 9: Edge AI & On-device Inference120 min Lesson 10: Edge-Cloud Synchronization & Offline Mode90 min

Part 4: Data Processing & Storage

Lesson 11: Time-Series Database - TimescaleDB, InfluxDB & QuestDB120 min Lesson 12: IoT Data Pipeline - Ingestion, Processing & Storage120 min Lesson 13: Rule Engine & Complex Event Processing120 min

Part 5: Digital Twin & Visualization

Lesson 14: Digital Twin Architecture - Virtual Representation120 min Lesson 15: Real-time Monitoring Dashboard & Visualization90 min Lesson 16: Predictive Maintenance & Anomaly Detection120 min

Part 6: Industry Applications

Lesson 17: Smart Factory - Industrial IoT (IIoT) Architecture120 min Lesson 18: Smart Building & Energy Management90 min Lesson 19: Connected Vehicles & Fleet Management90 min Lesson 20: Agriculture IoT & Environmental Monitoring90 min

Part 7: Production & Case Studies

Lesson 21: Scalability - Handling Millions of Devices120 min Lesson 22: IoT Platform on Kubernetes120 min Lesson 23: IoT Data Analytics & Machine Learning90 min Lesson 24: Observability & Monitoring for IoT Platform90 min Lesson 25: Case Studies - AWS IoT, Azure IoT & Bosch IoT120 min