B.Voc. (Machine Learning & AI Skills)

The B.Voc program is modular in nature with multiple exit points at Certificate, Diploma, Advanced Diploma and B.Voc. Each of the six semesters carries 30 credits, resulting in a total of 180 credits for B.Voc.

Objectives

The credits are accumulated from Certificate to B.Voc as given below -

Semester

Duration

Location

Credits (Cumulative)

Fee

Award

I

6 months

BSDU

30

50,000/-

Certificate

II

6 months (1yrs)

Industry

60

10,000/-

Diploma

III

6 months

(1.5yrs)

BSDU

90

50,000/-

---

IV

6 months

(2yrs)

Industry

120

10,000/-

Advanced Diploma

V

6 months

(2.5yrs)

BSDU

150

50,000/-

---

VI

6 months

(3yrs)

Industry

180

10,000/-

B.Voc

Curriculum

First Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

1

ITN1101

Introduction to Computers

3

1

0

4

60

2

MAI1102

Understanding Databases

2

0

4

4

90

3

ITN1103

C and C++ programming

1

0

3

3

60

4

MAI1103

R and Python Programming Languages

2

0

6

5

120

5

MAI1104

Web Development

1

0

3

4

60

6

GEN1101

English language and Comprehension

2

1

0

3

45

7

GEN1103

Applied Mathematics

3

0

0

2

45

8

GEN1102

MS Office

1

0

2

2

45

9

 

Open Elective

0

0

2

3

30

Total

15

2

20

30

555

Second Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

1

MAI1211

Industrial Training

0

0

21

15

315

2

MAI1212

Project Report

0

0

6

4

90

3

MAI1213

Presentation

0

0

2

1

30

4

MAI1214

Seminar

0

0

2

1

30

5

GEN2001

Professional Communication Skills-1

0

0

3

3

45

6

GEN2002

Modern History

0

0

3

3

45

7

GEN2003

Environmental Studies

0

0

3

3

45

Total

0

0

40

30

600

Third Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

 

1

MAI1301

Introduction to AI

2

0

2

4

60

2

MAI1302

Machine Learning with Python/R

2

0

3

3

75

3

MAI1303

 

2

1

0

3

45

4

MAI1304

Data Handling – Cleaning, Visualization and Reporting

2

0

3

4

75

5

MAI1305

Big Data Analytics

1

0

4

3

75

6

GEN3001

Professional Communication Skills-1

3

0

0

3

45

 

GEN3002

Presentation & Graphing Techniques

0

0

5

3

75

 

GEN3003

Open Elective 2

0

0

2

1

30

 

GEN3004

Entrepreneurship

3

0

0

3

45

 

GEN3005

Personality Development

0

0

5

3

75

Total

15

1

24

30

600

Fourth Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

 

1

MAI1411

Industrial Training

0

0

20

12

300

2

MAI1412

Project Report

0

0

6

4

90

3

MAI1413

Presentation

0

0

2

1

30

4

MAI1414

Seminar

0

0

2

1

30

5

GEN4001

Organizational Behaviour

0

0

3

3

45

6

GEN4002

International Relations

0

0

3

3

45

7

GEN4003

Current Affairs

0

0

3

3

45

8

GEN4004

Socio-economic Development

0

0

3

3

45

Total

0

0

42

30

630

Fifth Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

 

1

MAI1301

Deep Learning and Neural Networks

1

0

4

3

75

2

MAI1502

Reinforcement Learning

1

0

4

3

75

3

MAI1503

Computer Vision

1

0

5

4

90

4

MAI1504

NLP and Speech Recognition

1

0

5

4

90

5

GEN5001

Advanced Communication Skills

3

1

0

3

60

6

GEN5002

Open Elective 3

0

0

2

1

30

7

GEN5003

Programming with C

0

0

4

3

60

8

GEN5004

Yoga for Health

0

0

4

3

60

9

GEN5005

Accounting

2

1

0

3

45

10

GEN5006

Technical Writing

1

1

0

3

30

Total

10

3

28

41

615

Sixth Semester

Sl No

Course Code

Course Name

L

T

P

C

Hours
(for 15 weeks)

 

 

 

Hours/week

 

1

MAI1611

Industrial Training

0

0

20

11

300

2

MAI1612

Project Report

0

0

6

4

90

3

MAI1613

Presentation

0

0

2

1

30

4

MAI1614

Seminar

0

0

2

1

30

5

GEN6001

Economics

0

0

3

3

45

6

GEN6001

Quantitative Aptitude

0

0

3

3

45

7

GEN6001

Indian Constitution

0

0

3

3

45

8

GEN6001

National Integration

0

0

3

3

45

Total

0

0

42

30

630

Career Prospects

It has been predicted that the annual worldwide Al revenue will grow from US$643.7 million in 2016 to US$38.8 billion by 2025. The revenue for enterprise Al applications will increase from US$358 million in 2016 to US$31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Thus Al and Machine learning are exploding, with smart algorithms being used everywhere from email to smartphone apps to marketing campaigns. So if one is looking for an in-demand career, the skills to work with smart machines/artificial intelligence are a great advantage.The student is able to articulate a business problem into a mathematical machine learning problem, and bring value at the end.
Some of the career opportunities in Machine Learning skill are as follows:

Apply Now