Course Overview
About Course
As billions of devices become connected, the 40‑hour IoT Training empowers engineers, architects, and developers to design and secure full-cycle IoT systems. The program begins with IoT fundamentals—covering device topologies, protocol layers, and architectural designs—to build a broad understanding . Hardware-focused modules explore SoCs, embedded components, and connectivity methods like Wi‑Fi, Bluetooth, LoRa, and cellular. Hands-on ESP32 labs immerse learners in board-level programming and integration exercises .
Participants advance to firmware development using FreeRTOS, microcontroller languages, and OTA strategies. They then construct robust data pipelines, from device telemetry through edge gateways to cloud ingestion using MQTT and HTTP on AWS, Azure, or GCP. Data analytics and visualization skills are reinforced in Jupyter-based dashboards.
Security—a cornerstone of IoT—is addressed in depth: encryption, mutual authentication, secure boot, firmware validation, and privacy practices mitigate real-world vulnerabilities . Additional labs reinforce secure communication between constrained devices.
The networking module explains IPv6, mesh topologies, LPWAN standards, and protocol optimizations via QoS testing. Reliability-focused segments teach device lifecycle management, OTA update frameworks, and monitoring strategies. A specialized section on embedded ML introduces anomaly detection and forensic tracing to detect and respond to threats.
Learners apply all skills in a capstone project, designing, implementing, securing, and analyzing an IoT solution from sensors to cloud. The course’s tactical, hands-on structure is complemented by expert instruction, interactive quizzes, threat modeling, and real-time troubleshooting. With resources like workbooks, posters, and lab docs—and alignment to recognition standards such as IoT‑C and AWS IoT certifications—graduates gain holistic IoT competencies.
Upon completion, attendees confidently architect scalable, secure, and intelligent IoT systems ready for industrial, consumer, or enterprise deployment—bridging hardware, software, connectivity, and security in today’s hyper-connected world.
Course Syllabus
Module 1: IoT Fundamentals & Architecture (5 h)
- Topics: Definitions, components (sensors, actuators, gateways, cloud), protocol stack tiers (device, edge, cloud)
- Description: Learn IoT origins, key elements, and architectural models.
- Features: Sensor lab demos; students map device-to-cloud flows
Module 2: Embedded Hardware & Connectivity (5 h)
- Topics: SoCs (ESP32, Raspberry Pi), IoT modules (Wi‑Fi, BLE, LoRaWAN), PCB integration
- Description: Hands-on hardware programming and module selection best practices
- Features: ESP32 coding labs.
Module 3: Device Programming & Firmware (5 h)
- Topics: C/Python/NodeMCU programming, RTOS platforms (FreeRTOS), firmware-over-the-air updates
- Description: Build IoT apps, manage memory/interrupts, design OTA mechanisms.
- Features: Board-based coding workshops.
Module 4: Edge & Cloud Integration (5 h)
- Topics: MQTT/HTTP, edge gateways, cloud platforms (AWS IoT, Azure IoT, GCP)
- Description: Establish device‑cloud pipelines, edge processing, and ingestion.
- Features: Real cloud integration labs.
Module 5: Data Management & Analytics (4 h)
- Topics: Streaming analytics, Big Data pipelines, REST APIs
- Description: Handle real-time data; apply analytics and dashboards.
- Features: Data ingestion and visualization via Jupyter.
Module 6: Security & Privacy (6 h)
- Topics: Encryption, mutual auth, secure boot, OTA signing, privacy frameworks
- Description: Cover IoT-specific threats, governance, and encryption standards
- Features: Labs on encrypted comms and privacy leak detection.
Module 7: Networking & Protocols (5 h)
- Topics: IPv6/6LoWPAN, BLE mesh, Zigbee, LPWAN, MQTT TLS, QOS
- Description: Deep dive into wireless stacks and performance tuning.
- Features: Connectivity and performance testing labs.
Module 8: Device Management & Reliability (4 h)
- Topics: Fleet management, monitoring, edge update strategies
- Description: Operational best practices for large-scale IoT deployments.
- Features: Over‑the‑air update scenarios and fault handling drills.
Module 9: Advanced Topics & Threat Intelligence (3 h)
- Topics: ML on edge, anomaly detection, forensic analytics
- Description: Introduce on-device AI and threat modeling.
- Features: Build simple anomaly classifiers and detect attacks
Module 10: Capstone Project (3 h)
- Description: Teams design, implement, secure, and analyze an IoT system.
- Features: Full-stack project: hardware→cloud→security→analytics.
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Key Features
- Live instructor-led sessions (virtual/in-person)
- >60% hands-on labs across hardware, networking, security, and analytics
- Real-world toolsets: ESP32, MQTT brokers, cloud platforms, Jupyter, forensic scripts
- Interactive assessments: quizzes, code reviews, threat model exercises
- Capstone project applying full-stack IoT skills end-to-end
- Resource kit: workbooks, reference posters, lab guides
- Certification prep alignment: fits IoT‑C, Cisco, AWS IoT certifications
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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