About the Program
Objectives of the Program
- To provide students with an understanding of modern Artificial Intelligence systems, including Generative AI, Large Language Models (LLMs), and Agentic AI.
- To introduce the fundamentals of deep learning, including neural networks, backpropagation, optimization, CNN, and RNN architectures.
- To familiarize students with LLM technologies such as prompt engineering, retrieval-augmented generation (RAG), and autonomous AI systems.
- To expose students to industry practices such as DevOps and MLOps used for deploying and managing AI models.
- To strengthen the mathematical foundations required for machine learning and deep learning models.
- To enable students to apply their knowledge through hands-on assignments and mini projects.
Expected Outcomes of the Program
- To provide students with an understanding of modern Artificial Intelligence systems, including Generative AI, Large Language Models (LLMs), and Agentic AI.
- To introduce the fundamentals of deep learning, including neural networks, backpropagation, optimization, CNN, and RNN architectures.
- To familiarize students with LLM technologies such as prompt engineering, retrieval-augmented generation (RAG), and autonomous AI systems.
- To expose students to industry practices such as DevOps and MLOps used for deploying and managing AI models.
- To strengthen the mathematical foundations required for machine learning and deep learning models.
- To enable students to apply their knowledge through hands-on assignments and mini projects.
Target Audience: 6 th Semester AI&ML and CSE(DS) Students
Committee Members
- Dr. Mari Gowda C K, Principal of AIT
- Dr. Vijayashekhar S.S,Professor and Head, Department of Artificial Intelligence and Machine Learning, AIT
- Dr. S Anupallavi,Associate Professor, Department of Artificial Intelligence and Machine Learning,AIT
- Dr. Kavitha Nair R,Associate Professor, Department of Artificial Intelligence and Machine Learning, AIT,
Resource Persons
Dr. Subhashis Banerjee
Designation: Senior AI Scientist,GE HealthCare, Bengaluru, India
Mr. Chandrashekhar S Awati
Designation: Data Science Intern
Philips-Pune
Mr. Akash Raj
Designation: Assistant Professor
Dept of AI&ML, AIT.
Dr. Pankaj Kumar
Designation: Associate Professor
Dept of ISE.
Dr. Vijayashekhar S S
Designation: Professor and HOD
Dept of AI&ML, AIT.
Dr. Kavitha Nair R
Designation: Associate Professor
Dept of AI&ML, AIT
Dr. S Anu Pallavi
Designation: Associate Professor
Dept of AI&ML, AIT
| DATE | TIME | TOPICS | RESOURCE PERSON |
|---|---|---|---|
| 05-05-2026 | 9am-12.30pm | Mathematics for ML and DL | Dr. Vijayashekhar S S |
| 2pm-5pm | Assignment | Dr. Vijayashekhar S S | |
| 06-05-2026 | 9am-10.30am | DL Introduction | Dr. Kavitha Nair R |
| 11am-12.30pm | Back propagation and optimization | Dr. S. Anu Pallavi | |
| 1.30pm-3.00pm | Cloud Computing and Handson | Dr. Pankaj Kumar | |
| 3.30pm-5.00pm | Cloud Computing and Handson | Dr. Pankaj Kumar | |
| 9am-10.30am | Introduction to Gen AI | ||
| 07-05-2026 | 11am-12.30pm | Foundation of LLM | Mr. Akash Raj |
| 1.30pm-3.00pm | Handson Gen AI | Mr. Syed M Illahi | |
| 3.30pm-5.00pm | Miniproject and Assignment | Mr. Syed M Illahi | |
| 08-05-2026 | 9am-10.30am | Prompt Engineering + RAG |
Dr. Subhashis Banerjee Senior AI Scientist GE HealthCare, Bengaluru, India |
| 11am-12.30pm | Introduction to Agentic AI | ||
| 1.30pm-3.00pm | LLM VS Agentic AI | ||
| 3.30pm-5.00pm | Deterministic VS Autonomous System | ||
| 09-05-2026 | 9am-10.30am | Big Data Analytics in Industry Perspective | Mr. Chandrashekhar Awati (Alumni) |
| 11am-12.30pm | Big Data Analytics in Industry Perspective | Mr. Chandrashekhar Awati (Alumni) | |
| 1.30pm-3.00pm | Miniproject and Assignment | Mr. Chandrashekhar Awati (Alumni) | |
| 3.30pm-5.00pm | Miniproject and Assignment | Mr. Chandrashekhar Awati (Alumni) |