K-scheme Syllabus of AI and Machine Learning

The MSBTE has introduced the Msbte K-scheme Syllabus of AI and Machine Learning 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 AI and Machine Learning 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 AI and Machine Learning 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 AI and Machine Learning 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 AI and Machine Learning Third Semester Syllabus in PDF Format just click below

no.Subject
1Database Management System Syllabus (DMS-313302)
2Digital Techniques Syllabus (DTE-313303)
3Essence of the Indian Constitution Syllabus (EIC-313002)
4Data Structure using Python Syllabus (DSP-313306)
5Statistical Modelling for Machine Learning Syllabus (SML-313307)
6Data Story Telling and Visualization Syllabus (DST-313004)

AN 4th Semester Syllabus

To download the Msbte K-scheme Syllabus of AI and Machine Learning 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 AI and Machine Learning 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 AI and Machine Learning 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.