IoT Course

Core Topics in an IoT Course

A typical IoT curriculum is structured around the components that make up an IoT system: the "things" (devices), the connection, the data processing, and the application.

• Introduction and Fundamentals:
• What is IoT? The definition, history, architecture, and real-world applications (e.g., smart homes, industrial IoT, smart cities).
• Enabling Technologies: Understanding the role of Cloud Computing, Big Data, Wireless Sensor Networks (WSN), and Embedded Systems in the IoT ecosystem.
• IoT Hardware and Embedded Systems:
• Sensors and Actuators: Learning how these devices capture physical data (sensors like temperature, light, motion) and interact with the physical world (actuators like motors and relays).
• Microcontrollers and Platforms: Hands-on work with popular hardware platforms like Arduino and Raspberry Pi, including basic electronics, interfacing hardware, and using General Purpose Input/Output (GPIO) pins.
• Programming: Learning languages like C/C++ (for low-level, constrained devices) and Python (for application logic and data processing).
• Networking and Communication:
• Connectivity: Exploring wireless technologies for IoT, such as Wi-Fi, Bluetooth, Zigbee, and LoRaWAN.
• IoT Protocols: In-depth study of communication protocols specifically designed for constrained IoT devices, such as MQTT (Message Queuing Telemetry Transport) and CoAP (Constrained Application Protocol), in addition to standard protocols like HTTP/HTTPS.
• Data Processing and Cloud Integration:
• Cloud Platforms: Learning how to connect IoT devices to major cloud providers (like AWS IoT, Microsoft Azure IoT, or Google Cloud IoT) to store, manage, and process the massive amounts of data generated.
• Data Analytics: Basics of collecting, cleaning, and visualizing IoT data to extract meaningful insights, often involving tools like ThingSpeak or cloud-based analytics services.
• Edge/Fog Computing: Understanding how to process data closer to the source (the "edge") to reduce latency and save bandwidth.
• Security and Challenges:
• IoT Security Basics: Addressing the unique security and privacy challenges in IoT, including device authentication, data encryption, and network vulnerability.
• Design and Ethical Considerations: Discussing design methodologies and the societal and ethical implications of widespread device deployment.

Practical Skills Gained

The hands-on nature of these courses means you'll typically gain practical skills by building prototypes and working on projects like:

• Building a Smart Weather Station that reports temperature and humidity to a web dashboard.
• Creating a basic Home Automation System to control lights or appliances remotely.
• Developing a simple Asset Tracking solution using GPS and communication protocols.

By the end of the course, you'll be able to design, build, and deploy an end-to-end IoT system, from the physical sensor all the way up to the cloud application.

Job Type: Fresher

Pay: From ₹15,000.00 per month

Work Location: In person