About the Program
Objectives of the Program
- Understand the core concepts of Generative AI, including LLMs, diffusion models, and multimodal systems.
- Explore the architectures, capabilities, and working principles of Agentic AI systems.
- Differentiate between generative AI models and autonomous agent-based frameworks.
- Apply generative and agentic AI tools to solve practical, real-world problems through hands-on exercises.
- Examine ethical, social, and security considerations, along with emerging trends such as AI copilots and multi-agent systems.
Expected Outcomes of the Program
- Explain the fundamental principles of Generative AI and Agentic AI.
- Distinguish between model-driven AI approaches and autonomous agent- based frameworks.
- Utilize generative AI tools for content creation and problem-solving.
- Design and implement simple AI agents capable of multi-step reasoning and tool usage.
- Critically assess the ethical, social, and security implications of next- generation AI technologies.
Target Audience: Faculties from All the departments.
Committee Members
- Dr. C. K. Marigowda - Principal, AIT, Bangalore
- Dr. Vijayashekhar S.S, Professor and Head, Department of Artificial Intelligence and Machine Learning, AIT, Bangalore
- Prof. Syed Musadiq Illahi,Assistant Professor, Dept.of Artificial Intelligence and Machine Learning, AIT, Bangalore
- Prof. Mohammed Tahir Mirji, , Assistant Professor, Dept.of Artificial Intelligence and Machine Learning, AIT, Bangalore
Resource Persons
Dr. Vijayashekhar S S
Designation: Professor & HOD ,Dept.of AI & ML
Dr. S. Anu Pallavi
Designation:Associate Professor, Dept.of AI & ML
Dr. Kavitha Nair R
Designation: Associate Professor,Dept.of AI & ML
Prof. Syed Musadiq Illahi
Designation:Assistant Professor,Dept.of AI & ML
Schedule:
| Date | Day | Time | Topic | Resource Person |
|---|---|---|---|---|
| 9th Feb 2026 | Monday | 9:00 am - 10:30 am | Inauguration of FDP | |
| 11:00 am - 1:00 pm | Fundamentals of Artificial Intelligence & Deep Learning, Backpropagation | Dr. Anu Pallavi | ||
| 1:00 pm - 2:00 pm | LUNCH BREAK | |||
| 2:00 pm - 3:30 pm | Introduction to Agentic AI | Prof. Syed Musadiq Illahi | ||
| 3:30 pm - 3:45 pm | TEA BREAK | |||
| 3:45 pm - 5:00 pm | Hands-on session on Deep Learning and NLP | Dr. Anu Pallavi | ||
| 10th Feb 2026 | Tuesday | 9:00 am - 10:30 am | Generative AI Fundamentals | Dr. Kavitha Nair |
| 11:00 am - 1:00 pm | RAG Fundamentals I | Dr. Vijayashekhar SS | ||
| 1:00 pm - 2:00 pm | LUNCH BREAK | |||
| 2:00 pm - 3:30 pm | RAG Fundamentals II | Dr. Vijayashekhar SS | ||
| 3:30 pm - 3:45 pm | TEA BREAK | |||
| 3:45 pm - 5:00 pm | Deep Architectures for Image Analysis | Dr. Vijayashekhar SS | ||
| 11th Feb 2026 | Wednesday | 9:00 am - 10:30 am | Building Blocks of Transformers | Dr. Vijayashekhar SS |
| 11:00 am - 1:00 pm | Vision Transformer and LLMs | Dr. Vijayashekhar SS | ||
| 1:00 pm - 2:00 pm | LUNCH BREAK | |||
| 2:00 pm - 3:30 pm | Diffusion Models | Prof. Syed Musadiq Illahi | ||
| 3:30 pm - 3:45 pm | TEA BREAK | |||
| 3:45 pm - 5:00 pm | Hands-on session on Diffusion Models | Prof. Syed Musadiq Illahi | ||
| 12th Feb 2026 | Thursday | 9:00 am - 10:30 am | Generative AI Application | Dr. Anu Pallavi |
| 11:00 am - 1:00 pm | Hands-on session on Generative AI | Dr. Anu Pallavi | ||
| 1:00 pm - 2:00 pm | LUNCH BREAK | |||
| 2:00 pm - 3:30 pm | Hands-on session on Generative AI | Dr. Kavitha Nair R | ||
| 3:30 pm - 3:45 pm | TEA BREAK | |||
| 3:45 pm - 5:00 pm | Hands-on session on Generative AI | Dr. Kavitha Nair R | ||
| 13th Feb 2026 | Friday | 9:00 am - 10:30 am | Hands-on session on Generative AI | Dr. Kavitha Nair R |
| 11:00 am - 1:00 pm | MCQ and Feedback | |||
| 1:00 pm - 2:00 pm | LUNCH BREAK | |||
| 2:00 pm - 3:30 pm | VALEDICTORY |