Events

FDP on “ GEN AI – RAG”

Admin | September 4, 2025

The Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, in collaboration with ExcelR Solutions, is pleased to invite you to participate in a 5-Day Faculty Development Program (FDP) on “ GEN AI – RAG (Retrieval-Augmented Generation) ”.

FDP Program Details:

Dates: 08th – 12th September 2025
Time: 03:00 PM – 05:00 PM (Monday to Friday, 2 hours/day)
Mode: Online (Live Sessions)
Registration: FREE
Certificate of Participation provided

The key learning outcomes of the FDP on “GEN AI – RAG (Retrieval-Augmented Generation)” will include a foundational and applied understanding of advanced generative AI concepts, with hands-on exposure to RAG techniques tailored for real-world tasks. Participants will gain competencies in applying Retrieval-Augmented Generation for research, teaching, and data-driven applications, culminating in enhanced technological skills and knowledge of current AI trends.

Key Learning Outcomes

  • Understand the architecture and working principles of Generative AI and RAG frameworks.
  • Develop the ability to implement RAG models for efficient information retrieval and content generation.
  • Gain hands-on experience with generative AI tools and platforms relevant to academic and industrial scenarios.
  • Enhance skills for creating, interpreting, and innovating with cutting-edge AI methods in teaching and research.
  • Acquire confidence in exploring future advancements and ethical considerations in generative AI applications.

Topics Covered

  • Fundamentals of Generative AI and its impact on current technology landscapes.
  • Introduction to Retrieval-Augmented Generation (RAG): concepts, architectures, and workflows.
  • Practical sessions on building and customizing RAG pipelines for varied datasets.
  • Use cases in education, research, and industry harnessing RAG for data-driven insights.
  • Best practices, challenges, and ethical implications of deploying generative AI models.

 

This FDP equips faculty and scholars to meaningfully apply RAG and generative AI approaches in both their teaching and research domains, keeping them at the forefront of technological evolution.

Limited seats are available! Scan the QR code on the poster or click the registration link below to enroll:
Register here: https://forms.gle/b8eaEKY82q9xuCjz7

Don’t miss this opportunity to explore Generative AI with RAG and enrich your expertise!