IIoT, Robotics & Automation
Experience Agile way of working in our R&D lab.
four-month internship in industrial IoT, robotics, and automation.
IIoT Robotics
Start date: 17th February 2025
What you'll learn
- About IoT and IoT life cycle
- Architecture of IoT
- Benefits and future of iot
- Working with SoC's and Various Sensors
Approach
- Lead by industry experts
- Hands-on
- Real time project implementation
- Industry certificate
Top companies offer this course to their employees
This course was selected for our collection of top-rated courses trusted by businesses worldwide. Learn more
- Introduction to IoT and IIoT
- IoT architecture and protocols
- Embedded C programming concepts
- Interfacing Different types of Sensors
- Networking concepts with WiFi Dev Modules
- Industry 4.0 & 5.0 and its trends
- Introduction to Robotics and its applications in industries
- Setup and Control Ramps 1.4 from ROS (Robotic Arm Application)
- Exposure on PLC & 8 Bit Based Microcontrollers Robotic Applications (Application using Stepper motor)
- Hands-on project on automation applications.
Course content
- IoT architecture and life cycle
- Platforms for IoT
- Microcontrollers, SoCs
- Interfacing industrial sensors
- Embedded programming
- Communication technologies (I2C, UART, SPI)
- Introduction to SoCs
- Networking and wireless communication
- Building IoT applications
- Web servers and IoT cloud: setup and configuration
- Introduction to ESP8266/ESP32 Wi-Fi Module
- Wi-Fi library, TCP/UDPetc.
- Web server- introduction, setup and configuration
- publishing sensor(s) data to web server
- IoT Cloud Infrastructure
- Performance and Security in IoT
- Hands-on
- Industry based use cases
- Hybrid mode(Online & Offline)
- 2 Months concepts oriented sessions followed by next 2 months project mentoring (hybrid)
- Exposure to Domain and Process – Agile methodology
- Knowledge of L1
- Fundamentals of C/C++
This course includes:
- Device Programming: Learn to program microcontrollers like ESP32 and Arduino for IoT applications.
- Sensor Integration: Interface sensors and actuators to collect and process real-world data.
- Data Communication: Implement protocols like MQTT and HTTP for seamless device-to-cloud communication.
- IoT Platforms: Use platforms like Webservers, ThingSpeak for data visualization and device management.