Artificial Intelligence and Machine Learning
Designing future intelligence across industries
- AI Engineering
- Data Platforms
- Responsible Tech
- Edge Intelligence
Core Philosophy
The AI & ML department enables learners to architect data-intensive systems, build trustworthy AI solutions, and deploy scalable models on cloud, edge, and embedded devices. Our curriculum fuses VTU’s rigorous foundations with globally recognized micro-credentials in MLOps, Generative AI, and low-code automation.
Creating future-ready AI engineers with strong mathematical depth.
Blending research rigor with enterprise-grade cloud deployments.
Future Readiness
Applied Scientist specializing in building end-to-end AI products.
Focusing on advanced perception and natural language processing.
Specializing in the reliability and scaling of production AI models.
Ensuring ethical compliance and fairness in automated systems.
Support Hub
What is the eligibility criteria for AI & ML?
Candidates must have passed 10+2 with Physics and Mathematics as compulsory subjects, along with Chemistry/Biotechnology/Biology/Technical Vocational subjects, securing a minimum of 45% marks. Admission is based on CET, COMED-K, or management quota rankings.
How are the placement opportunities for this department?
The department maintains strong ties with top-tier tech firms like Amazon, Google, and Microsoft. Our placement cell provides dedicated training for AI-specific roles such as Data Scientist, ML Engineer, and AI Architect.
Are there research opportunities for undergraduates?
Yes, students are encouraged to collaborate with faculty on research papers and innovation projects. We have dedicated lab hours for independent research and provide funding support for patent filings and international conferences.