4 Years

Programme Duration

B.E.

Degree Type

60

Approved Intake

Exponential

Future Career Scope

AI and ML Overview

Course Overview

This program focuses on building intelligent systems that can learn from data and make autonomous decisions. It covers the mathematical foundations and engineering practices of modern AI.

  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision & Image Processing
  • Reinforcement Learning & Robotics

Why Choose AI & ML at SVCT?

GPU Computing Lab

Access to high-end NVIDIA workstations for training complex deep learning models.

Industry Capstone Projects

Work on real-world datasets and AI problems provided by our industry partners.

Data Engineering Focus

Comprehensive training in big data pipelines and model deployment (MLOps).

Course Syllabus

Mastering the future of computational intelligence

Engineering Mathematics (Calculus), Python for AI, Physics for Computing, Basic Electronics, Communication Skills.
Linear Algebra & Statistics, Data Structures, Discrete Structures, Object Oriented Programming, Environmental Science.
Database Management Systems, Operating Systems, Computer Architecture, Optimization Techniques for AI.
Foundations of Machine Learning, Design and Analysis of Algorithms, Software Engineering, Java Programming.
Deep Learning, Artificial Intelligence, Computer Networks, Theory of Computation, Data Warehousing & Mining.
Natural Language Processing, Computer Vision, Big Data Analytics, Reinforcement Learning, Mini Project.
Cloud Computing, MLOps (Model Deployment), Ethics in AI, Generative AI (LLMs), Professional Elective.
Major Project (AI focused), Professional Ethics, Industrial Training, Viva-Voce.

Our Placement Partners

Our Student Placements Achivement

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Build Your Career in Artificial Intelligence & Data Science

Admissions Open for 2026 Batch

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Ready to Start Your Engineering Journey? Admissions Open 2025–2026 at SVCT
Admission Open 2026