Bootcamp on Agentic AI By CSE Department

Oct 16, 2025 | CSE | 0 comments

Department: Computer Science and Engineering
Name of the Event: Bootcamp on “Agentic AI”
Date: 16th October 2025
Organized by: CSE Department in association with CSI–VJIT Student Chapter

Event Overview

The Department of Computer Science and Engineering, under the CSI–VJIT Student Chapter, organized a one-day Bootcamp on “Agentic AI” on 16th October 2025. The session was led by Dr. Kalyan Sarvepalli, a distinguished academician and renowned AI researcher.

The workshop introduced students to the rapidly evolving domain of Agentic AI, highlighting how modern AI systems are becoming increasingly autonomous, adaptive, and capable of intelligent decision-making. Dr. Kalyan explained the shift from traditional rule-based architectures to self-learning agents that function effectively in dynamic and complex environments.

Throughout the bootcamp, participants explored:

Core concepts of Agentic AI
Applications of autonomous AI models
Hands-on model training using Google Colab
Data analysis and visualization through Looker Studio

The interactive demonstrations and practical activities helped students understand the development lifecycle of intelligent agents and their real-world implications. The session fostered curiosity, collaboration, and deeper engagement with next-generation AI technologies.

Outcomes

Total Participants:

120 students from the departments of CSE, IT, DS, and AI&DS.

Student Feedback Highlights

Koudampally Varsha – CSE-A
“I really enjoyed the interactive and forward-looking discussions at the Agentic AI event. The sessions were highly informative, especially those exploring practical applications of Agentic AI and its impact across industries. The combination of expert talks and real-world examples helped me understand both the technical and ethical dimensions of AI.”
Ratnapolla Sneha – IT-C
“The workshop was extremely insightful, especially the interactive discussions that clarified how AI is evolving to become more autonomous. The real-world examples and demonstrations gave me a clear understanding of the latest AI trends and practical applications.”

Feedback Summary

Figure: Student Feedback Ratings – Agentic AI
The feedback chart reflects highly positive responses from the participants regarding content quality, interactivity, and relevance. Students appreciated the blend of expert instruction, hands-on exercises, and real-world case studies, which enhanced their understanding of Agentic AI and its growing significance.