B.Voc. in Machine Learning & AI Skills
Machine Learning skills are in great demand in the industry to glean hidden insights from huge volumes of data to work more efficiently and also gain a competitive edge. These skills include data analytics, deep learning, statistical analysis, etc. With the B.VoC program in Machine Learning & AI Skills, in the School of Computing Skills, we will prepare students to be industry-ready in these much sought-after 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
- Train to NSQF level 7 in the job role of Data Scientest
- Train for multiple skill sets in IT, like Deep Learning, Data Analytics,AI,etc
- Be able to design and implement data-driven products in any company
- Be eligible to appear in all competitive exams in any goverment sector like UPSC, Defence, Railways and other PSUs
- Train & equip with knowledge and understanding to become an Entrepreneur
- Also achieve certification, Diploma and advanced diploma on the way to B.Voc
Duration
3 Years
Eligibility Criteria
10+2 PCM or ITI after 10th or Polytechnic Diploma will be considered as equivalent to 10+2
Selection Procedure
Admission will be through an Entrance Exam or based on the merit of the qualifying examination.
Curriculum
| B.Voc. (Machine Learning & AI Skills) | ||||
| Program Structure | ||||
| Year | FIRST SEMESTER | SECOND SEMESTER (Industrial Internship) | ||
| Course | Credits | Course | Credits | |
| I | Introduction to computers | 4 | Industrial Training | 15 |
| Understanding Databases | 4 | |||
| Computer Assembling & Peripheral Installation | 5 | |||
| Python Programming | 3 | |||
| Web Development | 4 | Presentation | 3 | |
| Open Elective | 3 | Report | 3 | |
| Office Software Tools | 2 | Value Education# | 3 | |
| English Language & Comprehension | 3 | Industrial Labour & General Laws# | 3 | |
| Applied Mathematics | 2 | Environmental Studies# | 3 | |
| Â Total | 30 | Total | 30 | |
| Cumulative Credits = 30 (Certificate) | Cumulative Credits = 60 (Diploma) | |||
| Year | THIRD SEMESTER | FOURTH SEMESTER (Industrial Internship) | ||
| Course | Credits | Course | Credits | |
| II | Artificial Intelligence with Python | 4 | Industrial Training | 15 |
| Machine Learning with Python | 3 | |||
| Statistics with R | 3 | |||
| Data Handling | 4 | |||
| Cloud Computing | 3 | |||
| Open Elective – II | 3 | Project Report | 3 | |
| Computer Aided Drawing | 3 | Presentation | 3 | |
| Spoken English | 3 | Organizational Behaviour# | 3 | |
| Personality Development | 2 | Business Communication# | 3 | |
| Entrepreneurship Basics | 2 | Current Affairs# | 3 | |
| Total | 30 | Total | 30 | |
| Cumulative Credits = 120 (Advanced Diploma) | ||||
| Year | FIFTH SEMESTER | SIXTH SEMESTER (Industrial Internship) | ||
| Course | Credits | Course | Credits | |
| III | Deep Learning and Neural Networks | 3 | Industrial Training | 15 |
| Reinforcement Learning | 3 | |||
| Computer Vision and Speech Recognition | 4 | |||
| Natural Language Processing | 4 | |||
| Open Elective – III | 3 | |||
| Digital Marketing | 3 | Project Report | 3 | |
| Advanced Communication Skills | 3 | Presentation | 3 | |
| Quantitative Aptitude | 2 | Behavioural Skills# | 3 | |
| Financial Accounting | 2 | Indian Constitution# | 3 | |
| Entrepreneurship Development (Advanced) | 3 | Technical Writing# | 3 | |
| Total | 30 | Total | 30 | |
| Cumulative Credits = 180 (B. Voc.) | ||||
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:
- Fresh graduates or those with only one year’s experience can become Data Science interns in ML techniques like NLP or Python programming
- Skills in ML can also lead to fresh graduates becoming junior data scientists
- Graduates with about 3-8 years’ experience, can take up the role of a Data Scientist in Deep Learning
- Those interested in end-point security can have a career in Automation with ML, for example to recognize file malware threats and deal with them effectively
- Many jobs are available as Scientist in Analytics and Machine Intelligence