ATAL FDP ABESIT Ghaziabad: Generative AI and Large Language Models

The Department of Bachelor of Computer Application (BCA) at ABES Institute of Technology (ABESIT), Ghaziabad, is hosting an AICTE Training and Learning (ATAL) Academy sponsored offline Faculty Development Program (FDP). Titled “Generative AI and Large Language Models: Transforming Software Development and Automation,” this one-week training program aims to provide participants with in-depth technical knowledge, hands-on lab experience, and ethical frameworks for deploying AI in software development and automated workflows.

Programme Highlights

Feature	Details
Programme Name	Generative AI and Large Language Models: Transforming Software Development and Automation
Organising Body	Department of Bachelor of Computer Application (BCA), ABESIT
Sponsor	AICTE Training And Learning (ATAL) Academy
Duration	One Week (14-19 September 2026)
Mode & Timing	Offline Mode (9:00 AM to 5:30 PM)
Affiliation & Code	Affiliated to AKTU Lucknow (College Code 290)
Location	19th Km. Stone, NH-9, Vijay Nagar, Ghaziabad – 201009 (UP)

About the Programme & Objectives

The rapid evolution of Generative AI and Large Language Models (LLMs) is fundamentally reshaping the software development lifecycle and industrial automation. This FDP is curated to bridge foundational machine learning theory with cutting-edge Generative AI applications, transformer architectures, and pre-trained LLM fine-tuning.

Key Objectives of the FDP:

• Deliver foundational and advanced concepts in Machine Learning, NLP, and Sequential Models.
• Provide practical training on Attention Mechanisms, Transformers, and Generative AI frameworks.
• Enable participants to execute the Generative AI project lifecycle, including model fine-tuning.
• Emphasize Responsible AI practices to ensure ethical, transparent, and fair deployment.
• Foster innovation and enhance research capabilities across academia and technical industries.

Host Institution Overview

Established in 2007, ABES Institute of Technology (ABESIT) is situated near the Delhi-Ghaziabad border on NH-09. Ranked consecutively in Swachh Campus Rankings by AICTE/MoE, ABESIT houses an AI-based Centre of Excellence in association with NVIDIA, along with 8 other specialized Centres of Excellence in IoT, Robotics, Big Data, and AI-ML. The institution’s MoE Innovation Cell (IIC) holds a 4-star rating, and its key engineering programs are NBA-accredited.

The Department of BCA offers a comprehensive undergraduate program accredited by AICTE and affiliated with AKTU Lucknow. The department focuses on modern software skills, data science, AI, cloud computing, and regular industry-academic workshops.

Eligibility & Selection Guidelines

• Target Audience: Open to faculty members, Government officials, and Industry professionals across all engineering and science disciplines. Faculty members and Ph.D. research scholars will find the content exceptionally beneficial.
• Selection Process: Applications are accepted strictly on a First-Come, First-Served Basis.
• Registration Fee: Sponsored by AICTE ATAL Academy (No fee for registered candidates).
• Certification: E-certificates will be awarded to all dedicated participants upon successful course completion.

Eminent Resource Persons

Technical sessions and practical labs will be led by distinguished academicians, scientists, and industry leaders:

• Dr. Girish Kumar Sharma (Campus Director, Bhai Parmanand DSEU, New Delhi) — Foundations of ML and AI
• Dr. D.K. Lobiyal (Professor, SC&SS, Jawaharlal Nehru University, New Delhi) — Natural Language Processing (NLP)
• Prof. Arun Sharma (Professor & Dean Examination Affairs, IGDTUW, New Delhi) — Sequential Data, RNNs, and Encoder-Decoder Models
• Dr. Manshaf Alam (Professor, Dept. of Computer Science, Jamia Millia Islamia, New Delhi) — Attention Mechanism
• Dr. Kalpana Gupta (Principal Technical Officer, C-DAC, Noida) — Introduction to Generative AI
• Mr. Raghvendra Kumar Mishra (Software Engineer, IGT Solutions) — Generative AI Using Pre-Trained Models
• Mr. Harpreet Singh Sachdeva (Data Scientist, ABSL Pvt. Ltd., Noida) — Transformers in Generative AI
• Mr. Gaurav Kumar (Director, Magma Research and Consultancy Services) — Introduction to Large Language Models (LLMs)
• Ms. Sugandh Gupta (Global InfoVenture Pvt. Ltd. / NVIDIA Certified) — Generative AI Project Lifecycle
• Mr. Dillep Singh (Wipro Technologies, Greater Noida) — Responsible AI

Daily Program Schedule & Practical Modules

The six-day offline schedule blends morning theoretical sessions, article reviews, afternoon deep-dive lectures, hands-on lab training, and a site visit:

• Day 1 (14 Sep 2026):
  • Morning: Inauguration & Session 1: Foundations of Machine Learning and AI.
  • Article Discussion: Deep Learning Empowered Big Data Analytics in Digital Healthcare (IEEE/ACM TCBB, 2024).
  • Afternoon: Session 2: Natural Language Processing (NLP).
  • Hands-on: Text Preprocessing and Feature Engineering in NLP (4:30 PM – 5:30 PM).
• Day 2 (15 Sep 2026):
  • Morning: Session 3: Sequential Data, RNNs, and Encoder-Decoder Models.
  • Article Discussion: Bi-GRU-based Encoder-Decoder Framework for Time Series (Soft Computing, 2024).
  • Afternoon: Session 4: Attention Mechanism.
  • Hands-on: Implementing Attention Mechanisms for NLP (4:30 PM – 5:30 PM).
• Day 3 (16 Sep 2026):
  • Morning: Session 5: Introduction to Generative AI.
  • Article Discussion: Advancements in Generative AI: GANs, GPT, Autoencoders, Diffusion Models (IEEE Access, 2024).
  • Afternoon: Session 6: Generative AI Using Pre-Trained Models.
  • Hands-on: Working with Pre-trained Generative AI Models (4:30 PM – 5:30 PM).
• Day 4 (17 Sep 2026):
  • Morning: Session 7: Transformers in Generative AI.
  • Article Discussion: Transformer-BERT Integrated Model for Automatic Conversation (IEEE Access, 2024).
  • Afternoon: Session 8: Introduction to Large Language Models (LLMs).
  • Hands-on: LLMs for Natural Language Processing (4:30 PM – 5:30 PM).
• Day 5 (18 Sep 2026):
  • Industrial Visit (9:00 AM – 1:00 PM): C-DAC, Noida (Sector-62, Noida), focusing on R&D in IT, Electronics, and Supercomputing.
  • Afternoon: Session 9: Generative AI Project Lifecycle.
  • Hands-on: Fine-Tuning LLMs for Generative AI Applications (4:30 PM – 5:30 PM).
• Day 6 (19 Sep 2026):
  • Morning: Session 10: Responsible AI.
  • Article Summary: Presentation and Review (12:00 PM – 1:00 PM).
  • Afternoon: Assessment (MCQ & Reflection Journal, 2:00 PM – 4:00 PM) followed by the Valedictory Session (4:00 PM – 5:00 PM).

Important Links

Resource	Links
Apply Online	Click Here
Download FDP Brochure	Download
Download FDP Schedule	Download

Contact & Registration Details

• Coordinator: Prof. (Dr.) Kaushal Kishor (HOD MCA/BCA) | Phone: +91 9999792688 | Email: kaushal.kishor@abesit.in
• Co-Coordinator: Ms. Neetu Narang Mahajan (Assistant Professor, MCA)
• Organizing Contact Numbers: 9711060929, 8287516759, 8287516758
• Official Address: ABES Institute of Technology, 19th Km. Stone, NH-9, Vijay Nagar, Ghaziabad – 201009 (UP)
• Website: www.abesit.in | Email: admission@abesit.edu.in

FAQs

What is the core focus of the ATAL FDP at ABESIT Ghaziabad?
The program focuses on Generative AI and Large Language Models (LLMs), covering NLP, attention mechanisms, transformers, fine-tuning LLM lifecycles, and Responsible AI principles.

Are participants required to pay a registration fee?
No, registration for this AICTE ATAL sponsored offline FDP is free of charge.

Who is eligible to participate?
Faculty members, researchers, Ph.D. scholars, and industry/government personnel in engineering and science disciplines are eligible to register.

Does the FDP include an industrial visit?
Yes, Day 5 includes an industrial R&D visit to C-DAC, Noida (Sector-62, Noida).