Architect Real-Time Edge Intelligence. The Best IoT & Edge Computing Course in Ahmedabad.

Smart factories and connected products run on Python at the edge — ESP32 and Raspberry Pi nodes, MQTT telemetry, local aggregation, and TensorFlow Lite inference before cloud upload. We train the full stack employers specify: sensor interfacing, pub/sub messaging, FastAPI edge services, InfluxDB/Grafana observability, and secure device lifecycle patterns used in IIoT rollouts across Indian manufacturing and automation integrators.

Enterprise Enrollment Architecture
Duration: 50 Hours
₹30,000₹22,000
Note: Any type of tax would be extra. Global certification cost is excluded.

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Exclusive Program Benefits

  • After the course, Bascom Bridge will share 10–12 sample CVs to help build your resume.
  • Students receive a license for Bascom Bridge’s placement mobile app*.
  • Lifetime access* to the enrolled course for students.
  • If a student does not clear interviews, Bascom Bridge will provide retraining* until employment is secured.
  • Global certification training is included at no extra cost.
  • No-cost EMI* available for 6 months.
  • Discount on global certification fees* available.
  • End-to-end IoT labs: sensors, MQTT brokers, edge gateways, and on-device TinyML inference pipelines.
  • Hands-on Raspberry Pi and ESP32 projects — smart monitoring, alerting, and dashboard integration.
  • Structured capstone aligned to industrial IIoT POC patterns used in manufacturing and automation hiring*.
*T&C apply. Valid per strict institutional guidelines upon active enrollment.
Applicable taxes will be added to each instalment.

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About IoT & Edge Computing

Enterprise Tools Included

  • /Python 3.x with GPIO stacks (gpiozero / RPi.GPIO) on Raspberry Pi
  • /MicroPython on ESP32 — Wi-Fi, MQTT client, sensor drivers
  • /MQTT (Mosquitto / HiveMQ) — topics, QoS, TLS device messaging
  • /Edge AI: TensorFlow Lite & ONNX Runtime for on-device inference
  • /InfluxDB + Grafana for time-series telemetry and operational dashboards

Cognitive Prerequisites

  • /Core Python proficiency (functions, OOP basics, pip, virtual environments)
  • /Basic electronics literacy (GPIO, sensors, voltage levels, breadboard wiring)
  • /Comfort with Linux shell on edge devices (SSH, systemd services, logs)
  • /Understanding of TCP/IP, client-server models, and REST API fundamentals

Salary Progression (₹)

  • Entry-Level (0-3 yrs)₹2.5L - ₹8.0L
  • Mid-Level (4-7 yrs)₹8.0L - ₹14.0L
  • Senior Level (8-12+ yrs)₹15.0L - ₹23.0L+
*Data benchmarked directly from AmbitionBox / Glassdoor India 2026 enterprise tech verified salaries.

The Enterprise Capstone Architecture

Smart Factory Edge Monitoring System. You will deploy ESP32 sensor nodes publishing MQTT telemetry (temperature, vibration, door state) to a Raspberry Pi edge gateway running Python aggregation, threshold-based alerts, TensorFlow Lite anomaly scoring on buffered windows, and a Grafana dashboard backed by InfluxDB — mirroring the IIoT proof-of-concept deliverable automation vendors present before a 500-node manufacturing rollout in India.

Deep-Dive Syllabus Grid

Module 1: IoT, Edge Computing & IIoT Landscape
Device-to-cloud versus edge-first architectures, latency and bandwidth trade-offs, and where Indian manufacturers, utilities, and logistics firms deploy edge nodes. Positioning Python as the integration layer across sensors, gateways, and cloud services — the vocabulary used in Siemens, Bosch, and domestic automation integrator RFPs.
Module 2: Python Foundations for Embedded & Edge
Structuring IoT firmware-adjacent Python: concurrency with asyncio, serial/USB communication, structured logging, and packaging deployable scripts. Virtual environments, requirements pinning, and reproducible lab setups on Raspberry Pi — avoiding the “works on my laptop” failure mode in enterprise pilots.
Module 3: Raspberry Pi Edge Gateway Platform
Provisioning Raspberry Pi OS, SSH hardening, GPIO pin maps, and sensor read loops with gpiozero. Building a local edge gateway that ingests peripheral data, applies validation rules, and buffers outbound messages when uplink is intermittent — standard pattern for shop-floor digitization projects.
Module 4: ESP32 & MicroPython Device Programming
Flashing MicroPython, Wi-Fi provisioning, deep-sleep power strategies, and driving I2C/SPI sensors on ESP32. Implementing device-side MQTT publishers with reconnect logic and watchdog timers — the skill set embedded firmware teams expect when Python owns the rapid-prototype layer.
Module 5: Sensors, Actuators & Industrial Interfacing
Temperature, humidity, motion, ultrasonic, and relay control circuits with debouncing and calibration. Mapping raw ADC readings to engineering units and triggering actuator responses — mirroring predictive maintenance and environmental monitoring use cases in Gujarat industrial corridors.
Module 6: MQTT Pub/Sub & Device Messaging Design
Broker topology, topic naming conventions, QoS levels, retained messages, and last-will testament. TLS termination concepts and multi-device orchestration with MQTTX-style testing. Designing command-and-control topics for remote actuator control without exposing devices to the public internet.
Module 7: REST APIs, WebSockets & FastAPI Device Services
Exposing edge health and telemetry via FastAPI endpoints, WebSocket streams for live dashboards, and bridging HTTP webhooks to MQTT topics. Authentication basics (API keys, JWT overview) for device-facing microservices — how platform teams expose edge data to MES and ERP consumers.
Module 8: Edge Data Processing & Local Aggregation
Windowed aggregations, outlier filtering, rule engines for threshold alerts, and SQLite/Redis buffering at the gateway. Scheduling with APScheduler and systemd timers for batch uploads. Reducing cloud ingress costs — a metric edge architects defend in smart city and utility tenders.
Module 9: Time-Series Pipelines & Grafana Observability
Writing telemetry to InfluxDB (or Timescale-style stores), dashboard design in Grafana, and SLA-oriented alerting. Correlating device ID, site, and sensor type dimensions for multi-plant rollouts — the operational view plant managers expect after a successful IIoT pilot.
Module 10: Edge AI, TinyML & On-Device Inference
Converting models to TensorFlow Lite, running ONNX Runtime on Raspberry Pi, and classifying sensor time-series anomalies locally. Computer vision basics with OpenCV and picamera2 for motion/object triggers. Quantization trade-offs for latency and power — the 2026 differentiator for “AIoT” job descriptions.
Module 11: Cloud Integration, Security & OTA Fundamentals
AWS IoT Core and Azure IoT Hub integration patterns at architectural level — device shadows, ingress rules, and certificate-based auth overview. Firmware OTA concepts, secure bootstrapping, and DPDP-aware data handling for Indian deployments. Threat models for exposed MQTT brokers and hardening checklists.
Module 12: Capstone Delivery & IoT Interview Scenarios
End-to-end demo rehearsal, documentation standards, and defense of design decisions (topic design, edge buffering, model choice). Whiteboard drills: MQTT failure recovery, sensor drift, cloud outage behavior, and cost estimation for 1,000-node rollouts — the interview bar for IoT and embedded Python roles in India.

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