Dayananda Sagar Institute of Technology

B.Tech in Artificial Intelligence and Machine Learning at Dayananda Sagar Institute of Technology

Introduction

• The curriculum begins with foundational subjects such as programming, data structures, discrete mathematics, and probability. These subjects help students build the logical and mathematical base required for artificial intelligence and machine learning concepts.


• Core AI and ML subjects include machine learning algorithms, artificial intelligence principles, neural networks, and deep learning. Students learn how models are trained, evaluated, and optimized for real-world problem-solving.


• Data science and analytics form an important part of the program. Topics such as data preprocessing, data visualization, and statistical analysis enable students to extract meaningful insights from large datasets.


• Practical learning is emphasized through laboratory sessions, coding assignments, and project-based work. Students implement machine learning models and AI applications, enhancing hands-on experience and technical confidence.


• The program also introduces emerging areas such as natural language processing, computer vision, and reinforcement learning. Exposure to these technologies helps students stay relevant in rapidly evolving AI industries at Dayananda Sagar Institute of Technology.


• Industry interaction is encouraged through internships, technical workshops, hackathons, and research-oriented projects. These activities help students apply theoretical knowledge to real-world challenges and professional environments.

Conclusion