About Programme
Diploma in Artificial Intelligence and Machine Learning provides a comprehensive introduction to the core concepts and techniques driving these transformative technologies. Students will gain a foundational understanding of AI principles, machine learning algorithms, data analysis, and programming languages like Python. The program equips individuals with practical skills to develop AI-driven solutions, preparing them for entry-level roles in this rapidly evolving field.
Eligibility & Admission
Pass in 10th Std/ SSC examination.
| PROGRAM FEE | AMOUNT |
|---|---|
| Registration Fee (One Time) | 5,000/-INR |
| Semester Fee | 25,000/-INR |
Scholarship
| Marks in 10th | Scholarship Per Semester Fee |
| 60% – 75% | 10% |
| More than 75% – 90% | 20% |
| More than 90% – 100% | 30% |
| Disability Level | Scholarship Per Semester Fee |
| 90% & Above 90% | 30% |
| 75% & Below 90% | 20% |
| 50% & Below 75% | 10% |
| Category | Scholarship Per Semester Fee |
| Wards of Param Veer Chakra | 30% |
| Winners of Maha Veer Chakra | 20% |
| Winners of Veer Chakra | 10% |
| Work Tenure | Scholarship Per Semester Fee |
| More than 5 years continuous service | 30% |
| 1 Year – 5 Years continuous Service | 20% |
| Category | Scholarship Per Semester Fee |
| Single girl child | 20% |
| Category | Scholarship Per Semester Fee |
| Parentless | 30% |
Either fatherless or motherless provided the annual family income is less than 2.5 lakh | 20% |
Learning Outcomes
An ability to function on multi-disciplinary teams.
An ability to identify, formulates, and solve engineering problems.
An understanding of professional and ethical responsibility.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
An ability to communicate effectively.
Career Prospects
Diploma in Artificial Intelligence and Machine Learning can open doors to a variety of exciting job opportunities in this rapidly growing field. Here are some potential career paths you can explore:
- Machine Learning Engineer: Develop and implement machine learning algorithms and models to solve real-world problems.
- AI Engineer: Design, develop, and deploy AI systems and applications, often focusing on specific areas like natural language processing or computer vision.
- Computer Vision Engineer: Develop systems that enable computers to “see” and interpret images and videos.
- AI Product Manager: Lead the development and launch of AI-powered products and services.
- AI Consultant: Advise businesses on how to implement AI solutions to improve their operations and efficiency.