(Iota) Internet of Things Certified Course

Course Description:

The Internet of Things (IoT) Certified Course is a comprehensive, hands-on program designed to equip learners with the technical expertise and practical skills required to design, develop, and manage IoT systems. The course covers the complete IoT ecosystem — from sensors and embedded systems to data communication, cloud integration, and data analytics. With a focus on real-world applications across industries such as smart homes, healthcare, agriculture, and manufacturing, this course empowers students and professionals to become IoT innovators and problem-solvers.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After (Iota) Internet of Things Certified Course:

• Embedded Systems Engineer
• IoT Solutions Architect
• IoT Cloud Engineer
• Network and Protocol Engineer (IoT)
• IoT Security Specialist
• Smart Systems Designer
• Field Application Engineer (IoT)
• IoT Developer / IoT Engineer

Essential Skills you will Develop (Iota) Internet of Things Certified Course:

• Embedded Systems Programming
• Sensor and Actuator Integration
• Wireless Communication Protocols
• IoT Architecture & System Design
• IoT Networking Fundamentals

Tools Covered:

• Arduino UNO / Mega / Nano
• Raspberry Pi
• ESP8266 / ESP32 Microcontrollers

Syllabus:

Module 1:

Introduction to IoT What is IoT? Evolution and applications IoT ecosystem and architecture IoT communication models & protocols Market trends and use cases.

Module 2:

Sensors, Actuators, and Devices Overview of sensors and actuators Types and characteristics (temperature, motion, light, etc.) Interfacing sensors with microcontrollers Signal conditioning basics.

Module 3:

Microcontrollers and Embedded Systems Introduction to Arduino and ESP8266/ESP32 Microcontroller pin configuration Programming using Arduino IDE Hands-on: Basic sensor-LED interaction.

Module 4:

Communication Protocols Wireless protocols: Wi-Fi, Bluetooth, ZigBee, Lora IoT communication protocols: MQTT, Copal, HTTP Setting up a local MQTT broker (Mosquito) Real-time data transmission between devices.

Module 5:

IoT Programming & Data Handling Embedded C and Python basics Serial communication and data parsing Introduction to JSON, REST APIs Hands-on: Reading and sending data to the cloud.

Module 6:

Cloud Integration Introduction to cloud platforms (Thing Speak, Firebase, AWS IoT, Azure IoT) Device-to-cloud communication Real-time database and remote control Hands-on: Cloud dashboard and alerts.

Module 7:

IoT Project with Raspberry Pi Introduction to Raspberry Pi (Linux basics) GPIO control with Python Camera and media integration Hands-on: Building a smart camera or weather station.

Module 8:

IoT Security and Privacy Challenges in securing IoT devices Encryption techniques: AES, RSA Authentication & access control Best practices in IoT system design.

Module 9:

Data Visualization & Analytics Collecting and visualizing sensor data Using Node-RED and Graafian for dashboards Alert systems with IFTTT Basic data analytics for IoT applications.

Module 10:

Capstone Project & Deployment End-to-end IoT project development Hardware + cloud + dashboard integration Final project demo and evaluation Deployment and future scope.

Industry Projects:

• Smart Home Automation System
• Smart Agriculture Monitoring System
• Smart Health Monitoring System
• Industrial Equipment Health Monitoring

Who is this program for?

• Engineering Students & Graduates
• Working Professionals
• Tech Entrepreneurs & Innovators

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com