Programs
B.Tech Artificial Intelligence & Machine Learning
B.Tech Artificial Intelligence & Machine Learning
The B.Tech in Artificial Intelligence & Machine Learning at S-VYASA is an interdisciplinary programme designed to cultivate advanced expertise in computational intelligence, intelligent systems, and data-driven technologies. The curriculum integrates core engineering principles with contemporary AI and Machine Learning methodologies, enabling students to develop scalable, intelligent applications for complex real-world environments.
Students gain comprehensive exposure to machine learning algorithms, deep learning, natural language processing, computer vision, neural networks, intelligent analytics, and automation systems. The programme emphasises analytical reasoning, algorithmic problem-solving, and the design of adaptive AI-driven frameworks capable of transforming modern industries.
Through rigorous laboratory training, coding-intensive projects, industry-oriented learning, and research-driven academic engagement, students acquire practical proficiency in designing, training, and deploying intelligent systems. With applications spanning healthcare, finance, cybersecurity, robotics, business intelligence, education, and smart technologies, graduates are well-positioned to contribute to the evolving global landscape of Artificial Intelligence and digital innovation.
Eligibility
- Passed the 10+2 examination with Physics/Mathematics/Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational Subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship, as per table 8.4 Agriculture stream (for Agriculture Engineering).
- Obtained at least 45% marks (40% marks in case of candidates belonging to the reserved category) in the above subjects taken together. OR Passed D.Voc. Stream in the same or allied sector.
Program Highlights
Comprehensive AI & Computing Curriculum:
A structured blend of computer science, artificial intelligence, machine learning, data science, and intelligent computing technologies.
Machine Learning & Deep Learning Focus:
In-depth training in supervised and unsupervised learning, neural networks, predictive modelling, and deep learning frameworks.
Data Analytics & Intelligent Systems:
Strong emphasis on data processing, pattern recognition, business intelligence, and AI-driven decision-making systems.
Programming & Algorithmic Expertise:
Hands-on training in programming languages, data structures, algorithms, and AI model development.
Natural Language Processing & Computer Vision:
Exposure to advanced technologies involving language understanding, image processing, and intelligent perception systems.
Experiential Learning Ecosystem:
Practical learning through coding labs, AI simulations, hackathons, industry projects, and research-oriented assignments.
Industry-Aligned Pedagogy:
Curriculum aligned with emerging technologies, Industry 4.0 requirements, and real-world AI applications.
Research & Innovation Orientation:
Encourages innovation, interdisciplinary research, and the development of scalable AI-powered solutions.
Future-Ready Skill Development:
Equips students for roles in Artificial Intelligence, Machine Learning, Data Science, and Intelligent Automation domains.
Program Fee
| PROGRAMME | YEAR'S | FEE AMOUNT |
|---|---|---|
| B.Tech Artificial Intelligence & Machine Learning | 1st Year | ₹3,50,000 |
| 2nd Year | ₹3,50,000 | |
| 3rd Year | ₹3,50,000 | |
| 4th Year | ₹3,50,000 |
Registration Fee for All Courses – ₹25,000
(Inclusive of Non-Refundable Administrative Charge – ₹10,000 + Application Fee –
₹1,000)
Career Outcome
Robotics Engineering Roles:
Opportunities as Robotics Engineer and Robotics Systems Designer, focusing on autonomous systems, robotic integration, and intelligent machine development.
Automation & Industrial Engineering:
Roles such as Automation Engineer and Industrial Automation Specialist, working on smart manufacturing, process optimisation, and Industry 4.0 ecosystems.
Control Systems Engineering:
Positions as Control Systems Engineer, specialising in feedback mechanisms, PLC programming, and real-time process control.
Embedded Systems & Mechatronics:
Careers as Embedded Systems Developer and Mechatronics Engineer, integrating hardware and software for advanced automation systems.
Advanced Technology Domains:
Opportunities in robotics simulation, autonomous systems, drones, smart factories, and intelligent infrastructure.
Cross-Industry Demand:
Career prospects across manufacturing, automotive, aerospace, logistics, energy, and emerging smart technology sectors.
Research & Higher Education Pathways:
Strong foundation to pursue M.Tech, PhD, or specialised certifications in Robotics, Automation, and Control Engineering.
Entrepreneurial Pathways:
Equips graduates to build innovation-led ventures in robotics, automation, and next-generation industrial solutions.