Course Overview
About Course
This 40‑hour IoT training equips learners to design, build, and deploy comprehensive IoT solutions combining embedded hardware, edge logic, cloud integration, and data visualization. The program begins with core IoT concepts—layers, components, device types—and advances into hands-on programming using Arduino and Raspberry Pi, exploring protocols like Wi‑Fi, BLE, MQTT, LoRaWAN, and Sigfox.
Central to the curriculum is edge-to-cloud connectivity: participants configure gateways, leverage Azure/AWS/GCP IoT platforms, and construct data ingestion and storage pipelines. Analytics sessions focus on real-time and historical sensor dashboards using systems like Grafana and Prometheus. Security modules address critical concerns—secure authentication, OTA updates, encryption standards—ensuring devices remain resilient and trustworthy.
With 70% of class time dedicated to labs, every tech concept is reinforced through projects—ranging from predictive maintenance pilots to smart home systems. Learners gain proficiency in IoT ecosystem tools like Node-RED, Docker, MQTT brokers, and open-source stacks. The course culminates in a capstone project: design and deploy an end-to-end IoT solution from sensor to actionable dashboard.
Expert-led mentoring, peer reviews, and post-class resources cement learning and foster a community of practice. Graduates emerge ready to work in IoT roles, bringing robust device skills, deployment experience, and a portfolio-ready project, as well as a solid grasp of industry standards, security, and governance practices.
Course Syllabus
Module 1: IoT Fundamentals & Architecture (4 hrs)
- Definition, IoT layers (perception, network, application), and ecosystem.
- Device types and components (sensors, actuators, gateways)
Module 2: Embedded Systems & Microcontroller Programming (6 hrs)
- Hands-on with Arduino and Raspberry Pi; C/Python programming for GPIO, I²C, PWM .
- Sensor interfacing: temperature, light, motion.
Module 3: Connectivity & Communication Protocols (4 hrs)
- Networking fundamentals: Wi‑Fi, Bluetooth LE, Zigbee, Sigfox, LoRaWAN, MQTT
Module 4: Edge Computing & Gateways (4 hrs)
- Setting up on-device processing, IoT gateways (e.g., Azure IoT Edge), offline logic and telemetry
Module 5: Cloud Integration & Data Management (6 hrs)
- Connecting to AWS IoT, Azure IoT Hub, or GCP IoT Core; telemetry ingestion, storage, and pipelines
Module 6: Data Analytics & Visualization (4 hrs)
- Processing sensor data, time-series visualization using Grafana, Prometheus, or ThingsBoard
Module 7: Security & Device Management (4 hrs)
- Device authentication, encryption, secure firmware, best practices for IoT security .
Module 8: IoT Applications & Use Cases (4 hrs)
- Real-world projects: smart home, agriculture, industrial IoT (IIoT), and smart cities
Module 9: IoT Ecosystem Tools & Platforms (4 hrs)
- Working with Node-RED, Docker/Kubernetes, MQTT brokers, and open-source stacks .
Module 10: Capstone Project & Industry Best Practices (4 hrs)
- Build end-to-end IoT system: device → cloud → dashboard, deploying a mini-project.
- Discussion of standards, ethics, governance in IoT deployments.
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Key Features
High-focus labs (70% hands-on): includes sensor interfacing, protocols, edge-gateway setup, cloud pipelines.
Industry-grade toolchain: Arduino, Raspberry Pi, Node-RED, MQTT, Docker, Grafana.
Expert mentoring: live labs, peer reviews, Q&A, performance-based feedback.
Real-world mini-projects: smart monitoring systems, predictive maintenance, home automation.
Security emphasis: encryption, authentication, secure OTA updates.
Platform integration: AWS IoT, Azure IoT Hub, or GCP IoT Core.
Capstone integration: de‑facto build-to-deploy IoT workflow.
Post-course support: recordings, code samples, community forum, optional certification guidance.
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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