KMV Kaushal Kendra Jalandhar | 09646488406, 09872464468

The Heritage Institution

Status Conferred by UGC, MHRD, Govt. of India

Autonomous Status by UGC-MHRD,
Govt. of India

Kanya Maha Vidyalaya has been a proud recipient to an array of awards for excellence in skill based education and outstanding performance by the students in various professions. Bachelors of Vocation in Artificial Intelligence and Data Science at KMV aims to mold women students into competent and responsible professionals with pleasing personalities who would with requisite experience become future leaders and successful entrepreneurs. Artificial Intelligence and Data Science are the latest buzzwords in the field of IT. The demand for AI and Data Science professionals is enormously increasing. Big industries such as Microsoft, Apple, Google, Amazon etc hire a large number of professionals with Data Science background. The emphasis of B.Voc programs is to provide hands-on skills to students so that they are industry ready and get employed. B.Voc.(Artificial Intelligence & Data Science) is a 3 Year- 6 Semester Vocational Training Program. It provides Hands-on practical training, Internships, Placement Drives, Earn while Learn programs, Industry visits, Workshops with Industry Experts to produce skilled professionals. With deep industry connections, Department of Artificial Intelligence and Data Science at KMV brings learners face-to-face with successful entrepreneurs, industry experts so they are ready to face challenges this era has to offer.

Eligibility Criteria

Higher secondary (+2) passed candidates in any stream eligible.
No age bar.
No study gap matters.

Key Highlights

Innovative Online Teaching Methods
No prior computer expertise required.
Labs equipped with industry updated equipment
State-of-the-art Infrastructure.
On Job Training/Internships
Industry Partner: Sector Skill Council- NASSCOM
Internationally Recognised Skill BasedPrograms
Soft Skills and Personality Development Programmes
Workshops / seminars / lab by experts from various fields
Emphasis on practical aspect of learning

Flexibility to exit after 6 months,1 year, 2 years, 3 Years. (Click on the following links)

Teaching Faculty

	Dr. Pardeep Arora (Visiting Faculty)Associate Professor
	Mr. Harsh (Visiting Faculty)Lecturer
	Ms. Bhawna (Visiting Faculty)Assistant Professor
	Ms. Pakhi (Visiting Faculty)Assistant Professor

Semester Details

Semester I
- Punjabi (Compulsory)/ Basic Punjabi/ Punjab History and Culture
- Communication Skills in English-I
- Introduction to Computers and Information Technology
- Introduction to Artificial Intelligence and Data Science
- Office Fundamentals
- Computational Problem Solving-I
- Lab in Office Fundamentals
- Assignment based on Spreadsheet
- Entrepreneurship Mindset Level-I
- *Foundation Course
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme
Semester II
- Punjabi (Compulsory)/ Basic Punjabi/ Punjab History and Culture
- Communication Skills in English-II
- Computational Problem Solving-II
- Mathematical Foundation
- Technical Writing
- Data Collection and Analysis
- Relational Database Management System
- Computational Problem-Solving Lab
- Assignment based on Skill Development
- Entrepreneurship Mindset Level-II
- *Drug Abuse and Ethical Education
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme
Semester III
- Statistical Inference-I
- Data Mining and Data Warehousing
- Data Processing and Visualization
- Workplace Management
- Machine Learning-I
- Lab on Data Processing and Visualization
- Data Storytelling and Presentation
- Lab on Machine Learning-I
- Assignment based on Visual Insights
- *Personality Development
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme
Semester IV
- Statistical Inference-II
- Applied Statistical Programming
- Non-Relational Databases
- Entrepreneurship Basics
- Applied Statistical Programming Lab
- Lab on Non-Relational Databases
- Assignment based on Unstructured Data Analysis using MongoDB and Python
- *Environmental Studies (Compulsory)
- Moral Education
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme
Semester V
- Research Methodology
- Principles of Artificial Intelligence
- Machine Learning-II
- Soft Computing
- Project Management
- Lab on Machine Learning-II
- Assignment based on Predictive Analysis
- Innovation, Entrepreneurship and Creative Thinking
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme
Semester VI
- Introduction to Blockchain Technology
- Deep Learning
- Business Intelligence
- Lab on Deep Learning
- Major Project
*Credits/Grade points or grades of these courses will not be included in SGPA/CGPA of the Semester/Programme