Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Shri Shravanabelagola Digambar Jain Jnana Prasaraka Sangha (R)
Artificial Intelligence and Machine Learning (AIML) is an advanced field of computer science that focuses on creating intelligent systems capable of learning, reasoning, and making decisions. AIML enables machines to analyze data, recognize patterns, and improve performance without being explicitly programmed.
This program prepares students to design smart applications such as chatbots, recommendation systems, autonomous vehicles, medical diagnosis systems, and predictive analytics solutions. With strong foundations in mathematics, programming, and data science, AIML graduates are equipped to solve real-world problems using intelligent technologies.
The first year focuses on building strong fundamentals required for AIML.
Engineering Mathematics
Programming in C / Python
Basic Electrical & Electronics
Data Structures
Computer Organization
Engineering Physics & Chemistry
Outcome: Strong base in programming, logic, and problem-solving.
This year introduces core computer science concepts essential for AIML.
Object-Oriented Programming
Database Management Systems
Operating Systems
Computer Networks
Probability & Statistics
Introduction to Artificial Intelligence
Outcome: Understanding of system-level computing and data handling.
Students dive deep into AI and Machine Learning concepts.
Machine Learning Algorithms
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Data Mining
Big Data Analytics
Outcome: Ability to build and train intelligent models.
The final year focuses on real-world applications and industry readiness.
Advanced Machine Learning
Reinforcement Learning
AI Ethics & Governance
Cloud Computing for AI
Internship / Industry Training
Major Project
Outcome: Industry-ready professionals with hands-on project experience.
Machine Learning Engineer
Artificial Intelligence Engineer
Data Scientist
Data Analyst
AI Research Associate, etc