12+ Lesson
9hr 30min
32 students enrolled
Internet Of Things COURSE CONTENT
-
Definition and scope of IoT
-
Evolution and history of IoT
-
Key components: Sensors,
actuators, microcontrollers, connectivity
-
IoT architecture and ecosystem
-
Applications: Smart homes,
healthcare, industry, agriculture,
transportation
-
Challenges and opportunities
-
Embedded systems and
microcontrollers
-
Popular IoT boards: Arduino,
Raspberry Pi, ESP32, NodeMCU
-
Sensors: Temperature,
humidity, motion, light, proximity, gas,
etc.
-
Actuators: Motors, relays,
buzzers
-
Power management in IoT
devices
-
IoT communication models
-
Networking protocols
-
Hands-on: Device-to-device and
device-to-cloud communication
-
Embedded C / Python basics for
IoT
-
Arduino IDE and Raspberry Pi
programming
-
Interfacing sensors and
actuators
-
Data acquisition and
processing
-
Hands-on mini projects
-
Introduction to IoT cloud
platforms
-
Popular platforms: AWS IoT
Core, Google Cloud IoT, Azure IoT,
ThingSpeak, Blynk
-
Cloud storage and APIs
-
Data visualization and
real-time monitoring
-
Hands-on: Sending IoT data to
the cloud
-
Data collection, processing,
and storage
-
Edge vs cloud analytics
-
IoT with Machine Learning
-
Dashboards and visualization
-
IoT security challenges
-
Authentication, encryption,
and secure communication
-
Firmware updates and data
protection
-
Network and device security
best practices
-
Edge computing and IoT
-
IoT and AI integration (AIoT)
-
Big Data and IoT
-
Blockchain in IoT
-
Requirement analysis and
planning
-
Hardware and software
integration
-
Testing and debugging
-
Deployment and documentation
-
Smart Home Automation
-
Smart Agriculture System
-
IoT-based Weather Station
-
Health Monitoring System
-
Industrial IoT Monitoring
-
Smart Parking System
-
Energy Management System
-
Students and graduates interested in smart
technologies and connected devices.
-
Electronics, computer science, and IT
professionals looking to expand into IoT
development.
-
Developers and engineers eager to work on
embedded systems and automation projects.
-
Anyone curious about how hardware, software,
and data connect to power smart solutions.
-
FREE demo session covering IoT basics,
sensor integration, and real-time
applications.
-
In-depth training on sensors, actuators,
Arduino, Raspberry Pi, and microcontrollers.
-
Learn network communication protocols such
as MQTT, HTTP, and Bluetooth.
-
Build hands-on IoT projects including smart
home, automation, and cloud integration.
-
Placement-oriented training with real-time
project exposure and interview guidance.
-
Small batch sizes ensure focused learning
and one-on-one guidance on hardware
projects.
-
Expert trainers with real-time experience in
IoT systems, embedded programming, and cloud
IoT platforms.
-
Project-based learning approach with
practical implementation and testing.
-
Curriculum includes IoT security, edge
computing, and data visualization tools.
-
End-to-end placement assistance with project
portfolio building and mock interviews.
-
Earn an industry-recognized IoT Developer
Certificate upon course completion.
-
Understand IoT architecture, communication
protocols, and sensor integration.
-
Design and develop IoT prototypes using
Arduino and Raspberry Pi platforms.
-
Connect IoT devices to cloud platforms like
AWS, Azure, or Google Cloud IoT.
-
Build data-driven IoT systems for
automation, analytics, and smart
applications.
Enrolled: 32 students
Duration: 20 hours
Chapters: 15
Video: 12 hours
Level: Beginner