This is a customized training in Embedded design with add-on modules of IoT which is primary training program for working professionals. Students can select the modules as per their preference of learning for modules of 8051, PIC & AVR microcontrollers & 32-bit microprocessors with IoT hardware & software design. The practical sessions of embedded design include programming skill development in high-level language, learning the architecture of 8-bit microcontrollers and 32-bit microprocessors, downloading and debugging the code and learning test codes in real hardware.
After thorough learning of basic embedded systems and get expertise in firmware development & hardware design students will further move to learn design and implementation of network systems related to IoT. Students will learn to implement various working models concern wireless connected systems with real-world examples and enhance their code developing skill and hardware design capability to expertise in finding the solution for complex projects in Internet of things & embedded systems. We provide hands-on lab session for each module to improve students learning & innovation capability through a practical implementation approach.
Students Career Development
Students will be capable of developing career by :
Training duration: Depending on selected modules
Eligibility for training: Working professionals, BE/ B-Tech freshers, Diploma engineering in Electronics
Internet of Things
Nowadays IoT (Internet of Things), has emerged as modern communication technology which is used for networking physical objects contain various devices, actuators, sensors and other machines together to interact, communicate & exchange data between them using some important protocols. IoT & related wireless technology will make a digital revolution in the world by creating a new connected world. The latest research and studies reveals the great impact of large exchanged data between IoT devices that is analyzed continuously for monitoring, performing certain tasks & machine learning by control from remote stations.
As billions of new IoT devices or ‘things’ are created and connected to the internet every year, a large volume of data associated with these network systems will be generated which would demand large data management systems for managing and analyzing these device status, metadata, and sensor readings. IHS forecasts that the IoT world will grow by 15.4 billion devices in 2015 to 30.7 billion devices in 2020 and 75.4 billion in 2025. This means, an increase of 60 billion devices over 10 years.
* Personality development programs are available in Advanced Training on Embedded systems only.
** Advanced training program in embedded systems incorporates in-depth learning in CAN interface, Hardware design of power drives, Embedded Linux, PCB design in multilayer-
SMD and implementation of applications by selecting any 4 of the advanced module interface mentioned in brackets (Micro SD interface, GLCD, TFT, Zig-Bee, GPS, LoRa)
*** Proper implementation of 2 Mini projects and submission of technical records of the training are compulsory for the advanced training program.
**** Minimum score of 45% is mandatory in the test for each module subject to an assessment process for the issuance of the certificate to the student for a particular training program.