K-scheme Syllabus of Artificial Intelligence

The MSBTE has introduced the Msbte K-scheme Syllabus of Artificial Intelligence Course. The scheme has a revised Msbte k-scheme Syllabus that is more industry-oriented and aligned with the latest trends in technology. The Msbte Syllabus of the Artificial Intelligence branch under the new K Scheme has a total of 6 semesters. The subjects covered in each semester are as follows:

AN First Semester Syllabus (AN1K)

To download the Msbte K-scheme Syllabus of Artificial Intelligence First Semester Syllabus in PDF Format just click below

no.Subject
1Fundamentals of ICT (ICT-311001)
2Engineering Workshop (WPC-311002)
3Yoga and Meditation (YAM-311003)
4Engineering Graphics (EPG-311008)
5Basic Mathematics (BMS-311302)
6English (ENG-311303)
7Basic Science (BSC-311305)

AN 2nd Semester Syllabus

To download the Msbte K-scheme Syllabus of Artificial Intelligence Second Semester Syllabus in PDF Format just click below

no.Subject
1Linux Basic (BLP-312001)
2Professional Communication (PCO-312002)
3Social and Life Skills (SFS-312003)
4Web Page Designing (WPD-312004)
5Applied Mathematics (AMS-312301)
6Basic Electrical and Electronic (BEE-312302)
7Programming in ‘C’ (PIC-312303)

AN 3rd Semester Syllabus

To download the Msbte K-scheme Syllabus of Artificial Intelligence Third Semester Syllabus in PDF Format just click below

  • Data Structure using Python (DSP)
  • Database Management System. (DMS)
  • Digital Techniques. (DTE)
  • Data Story Telling and Visualization (DST)
  • Mathematics for Machine Learning-I (MML)

AN 4th Semester Syllabus

To download the Msbte K-scheme Syllabus of Artificial Intelligence Fourth Semester Syllabus in PDF Format just click below

  • Java Programming (JPR)
  • Software Engineering (SEN)
  • Data Communication and Computer Networks (DCC)
  • Microprocessors (MIC)
  • Mathematics for Machine Learning -II (MML)

AN 5th Semester Syllabus

To download the Msbte K-scheme Syllabus of Artificial Intelligence Fifth Semester Syllabus in PDF Format just click below

  • Environmental Studies (EST)
  • Operating Systems (OSY)
  • Client Side Scripting Language (CSS)
  • Fundamentals of AI & ML Algorithms (FAM)
  • . Advanced Database Management Systems (ADM)
  • Cloud Computing for Data Science (CCD)
  • Industrial Training (ITR)
  • Capstone Project Planning (CPP)

AN 6th Semester Syllabus

To download the Msbte K-scheme Syllabus of Artificial Intelligence Sixth Semester Syllabus in PDF Format just click below

  • Entrepreneurship Development (EDE)
  • Capstone Project Execution Syllabus (CPE)
  • Management (MAN)
  • Advanced Algorithms in AI-ML (AAM)
  • Mobile Application Development (MAD)
  • Emerging Trends in Computer and Information Technology (ETI)
  • Big Data Analytics (ETI)
  • Network and Information Security (NIS)
  • Data Warehousing with Mining Techniques (DWM)

In addition to the core subjects, students in the Msbte Artificial Intelligence Engineering branch will also have the option to choose electives from a list of offered subjects. The electives will vary depending on the college or institute.

If you are interested in pursuing a career in Artificial Intelligence engineering, the MSBTE Diploma New K Scheme is a good option. The course will provide you with the knowledge and skills you need to succeed in this rapidly growing field.