Machine learning & Al
Link copied to ClipboardB.VOC is a comprehensive three-year undergraduate degree programme planned to make individuals work-ready with vocational training and skill development in their respective fields.
Highlights
Offered By - 1 Universities
Course Duration - 3 years
Course Eligibility - 10+2 from a recognized board
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Machine learning & Al :Course details, Eligibility, Fees, Duration
Bachelor of Vocation in - Machine Learning and Artificial Intelligence
About B.VOC Courses
- B.VOC is a comprehensive three-year undergraduate degree programme planned to make individuals work-ready with vocational training and skill development in their respective fields.
- B.VOC Programmes focus on practical skills in today's modern education landscape and have secured significant recognition.
- B.VOC Courses are devoted to imparting required skills for specific trades.
- B.VOC courses have approvals by several authority bodies like UGC and AICTE, as well as the memberships of PCI and AIU.
B.VOC AI & ML Courses Overview
ML comes under the umbrella of AI, centering the research and development of techniques that empower machines to intensify their performance in particular tasks by dedicating data and simulating human-like intelligent behaviour. AI systems impersonate the analytical capabilities of humans to perform tangled tasks. Machine learning principles find applications in several fields like email filtering, medicine, agriculture, computer vision, speech recognition, and more. ML is a demanding and yet fulfilling profession.
The Curriculum of B.VOC in AI and ML
| First Semester | Second Semester |
| Object Oriented Programming using Python | English-II |
| English-I | R Programming Lab |
| Mathematics I | Statistical Structure in data using R |
| Python Programming Lab | Data Structures and Algorithm |
| Basics of AI and ML | Statistics - I |
| Language-I | Language-II |
| Third Semester | Fourth Semester |
| Java Programming | Deep Leaning |
| Java Programming Lab | Natural Language Processing |
| Neural Networks | Environmental Science |
| Advanced-Data Base System Lab | Internet of Things |
| Pattern Recognition | Machine Learning and its Applications |
| Skill Enhancement Course-I | Machine Learning using WEKA Lab |
| Generic Electives-I | Skill Enhancement Course-II |
| Generic Electives-II |
| Fifth Semester | Sixth Semester |
| Big Data Analytics | Data Science using Python |
| Machine Vision Systems | Web Mining & Recommender Systems |
| Discipline Specific Elective-I | Discipline Specific Elective-III |
| Discipline Specific Elective-II | Discipline Specific Elective-IV |
| Skill Enhancement Course-III | Data Science Lab |
| Statistical Analysis System /SPSS Programming Lab | Project work |
| Statistical Analysis System/SPSS Programming |
Career Path
- Data Scientist
- Applied Research Scientist
- Machine Learning Engineer
- Big Data Engineer
- Artificial Intelligence Engineer
- Computer and Information Technology Research Scientist.
