Internet of Things (IoT) Associate - NS04IOT

Course Preamble

In an era where connectivity and smart technology are transforming industries and everyday life, the “Internet of Things (IoT) Associate” course is designed to equip students with the comprehensive knowledge and practical skills needed to thrive in this dynamic field. This course provides a solid foundation in basic electronics and IoT platforms, beginning with hands-on identification and troubleshooting of electronic components and the operation of measurement devices. Students will be introduced to the fundamentals of microprocessors, microcontrollers, and IoT, with a particular focus on the Arduino platform for embedded programming and sensor interfacing. As the course progresses, students will conceptualize and develop practical IoT use cases such as smart street lighting, home automation, and digital locks. Furthermore, the course delves into advanced topics including wireless IoT architecture using NodeMCU, TCP/IP modeling for IoT, and cloud-based IoT implementation, enabling students to create and monitor IoT devices using cloud platforms. By the end of the course, students will be well-prepared to apply their skills in real-world scenarios, contributing to the rapidly growing field of IoT with innovative and efficient solutions.

Course Objective

The objective of the “Internet of Things (IoT) Associate”, course is to provide students with comprehensive knowledge and practical skills in basic electronics and IoT platforms. Through hands-on identification and troubleshooting of electronic components, students will gain a solid foundation in basic electronics and the operation of measurement devices. The course will introduce microprocessors, microcontrollers, and the Internet of Things (IoT), focusing on the Arduino platform for embedded programming and sensor interfacing. Students will conceptualize and develop IoT-based use cases, such as smart street lighting, home automation, and digital locks. Additionally, they will explore wireless IoT architecture using NodeMCU, TCP/IP modeling for IoT, and cloud-based IoT implementation, equipping them to create and monitor IoT devices using cloud platforms.

Course Outcome

By the end of the "Internet of Things (IoT) Associate" course, students will be proficient in identifying and troubleshooting basic electronic components, operating measurement devices, and understanding microprocessors and microcontrollers. They will develop skills in programming and interfacing with Arduino platforms, enabling them to design and implement practical IoT use cases such as smart street lighting, home automation, and digital locks. Additionally, students will explore wireless IoT architecture using NodeMCU, TCP/IP modeling for IoT, and cloud-based IoT implementation, allowing them to create and monitor IoT devices using cloud platforms. These competencies will prepare students for advanced study or careers in electronics and IoT development, equipping them to contribute innovative solutions to the growing field of IoT.

Expected Job Roles: Internet of Things (IoT) Associate

Course Structure

Course Contents

 Detailed Course Syllabus /Contents Link

Course Fees

General Candidates: Course fee is Rs. 16,652/- (Including NSQF Registration  and Exam Fees with taxes as applicable)
SC/ST Candidates : Tuition Fees are waived for SC/ST students admitted under SCSP/TSP. However they are required to remit an amount of Rs. 1,652/- towards NSQF registration and examination fee at the time of joining. This amount will be considered as security deposit and will be refunded after successful completion of the course on first attempt. If the student fails to complete the course successfully, this amount along with any other caution/security deposits by the student will be forfeited. It is mandatory that students attending NSQF aligned courses have to appear for NIELIT NSQF examination conducted by NIELIT Headquarter, New Delhi on fee payable basis. Successful candidates will be issued certificates by NIELIT HQ. If the student fails to clear the exam, participation certificates will be issued by NIELIT Calicut on passing the exam conducted by NIELIT Calicut.

Module wise Course Fee: Not Applicable for this course

II. Registration Fee: An amount of Rs.1000/- (including all taxes as applicable) (nonrefundable) should be paid at the time of registering for the course. 
This fee shall be considered as part of course fee, if the student joins the course. If the student does not join for the registered course / any of the registered courses, fee paid shall be forfeited.
SC/ST Candidates: Registration fee is Rs.500/- (nonrefundable)
However above the registration fee shall be refunded on few special cases as given below

•  Course postponed and new date is not convenient for the student
•  Course canceled in advance, well before the admission date

Course Fee Structure:

* Above fees is inclusive GST as per the prevailing rate (presently 18%) and revision if any by Government, shall be applicable at the time of payment
# Fine will be applicable for late fee payment.
** Advance fee – (Applicable only for courses with duration 3 months and more). After publication of first selection list, the students selected have to pay the Advance Deposit within the due date to take the provisional admission. Students in the additional selection list should pay both Advance and first installment fee together on or before the counseling day.

Eligibility

Any one of the following

• 12th Grade Pass
• Completed 2nd year of 3-year diploma (after 10th) and pursuing regular diploma
• 10th grade pass plus 2-year NTC
• 10th grade pass plus 1-year NTC plus 1 year NAC
• 10th-grade pass and pursuing continuous schooling
• Internet of Things (IoT) Assistant NOS from 1-6 will be exempted from Previous NSQF Qualification of Level 3

Important Dates

Last date for applying: 06-10-2024
Selection intimation through mail/website: 08-10-2024 (after 2 PM)
Certificate Verification/Admission (online mode): 14-10-2024

More Details

Click here for General Terms and Conditions – Applicable to all courses