4th Sem, AM

5009: Internship II Syllabus for Artificial Intelligence & Machine Learning 4th Sem 2021 Revision SITTTR

Internship II detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Machine Learning 4th Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 4th Sem 2021 revision scheme. The detailed syllabus of internship ii is as follows.

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Course Outcomes:

  1. Apply theoretical concepts gathered from the classroom to practices followed in industry.
  2. Identify industrial norms on safety, duties, responsibilities, and ethics of an engineer.
  3. Identify the social, economic and administrative factors that influence the working environment of industrial organizations. 160 periods
  4. Develop experience in writing Technical reports/projects.
  5. Demonstrate the ability of learning current technological trends.

Internship II Can be Undergone As Follows

  1. Industrial Internship Program: The student can opt to undergo internship with Industry/ NGO’s/ Government organizations/ Micro /Small /Medium enterprises depending upon their career plan. They are permitted to do internship only with
  2. organizations which have an industry attached to it.

  3. Entrepreneurial Internship Program: The students can choose to undergo Innovation or Entrepreneurship related activities as part of the internship. The option to work on innovation or entrepreneurial activities resulting in a start-up can be encouraged. The student can work at incubation centers, start-up villages, maker villages throughout semester 5 over and above his academic hours.
  4. Social Internship Program: Projects/Programs for the transformation of nearby villages through technological intervention for networking and localized employment, convergence, cost reduction, Youth and Women empowerment, etc. shall be identified for the social internship program. The internship shall be relevant to the program of study and should aim to apply technology to enhance the living standards of the community.
  5. Campus-Industry Internship Program: Production centers/Industry supported centers on camps/ Manufacturing units for supporting MSME and entrepreneurs (These are centers setup on the campus using infrastructure including that of the Polytechnic college) can be utilized for Internship where students can involve throughout the semester or previous semesters outside the normal academic hours.
  6. Online Internship Program: Online internship and certification programs offered by Multinational Companies/ Indian Companies with multinational visibility/ State or Central Government Establishments/ PSUs shall be accepted for the credit requirement of Summer Internship II. SITTTR shall issue an approved list of such internship programs on annual basis. In case no such list is published, the previous year’s list shall prevail.
  7. Rural Internship Program: There may be rural locations or locations where there is not sufficient industry to support internships specific to the program of study. In such a case, deviations from the mentioned norms in selecting industry may be permitted subject to the approval of the Academic Council of the institution.
  8. Students shall submit report on the internship undergone. Feedback from officer in charge of cell /industry shall be collected.

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 4th Sem subject syllabuses for 2021 revision.

To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..

To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..

For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*