NanoSchool
From Data to Dialogue: End-to-End Generative AI & LLM Workshop
From Data to Dialogue: Master Generative AI & LLMs in a Hands-On International Workshop
About This Course
From Data to Dialogue: Mastering Generative AI & Large Language Models” is a hands-on international workshop that teaches participants to build, train, and deploy Generative AI models and Large Language Models (LLMs), focusing on data preprocessing, model training, and real-world applications like text classification.
Aim
To equip participants with practical skills in Generative AI and Large Language Models (LLMs), covering data preprocessing, model training, and real-world applications, with a focus on hands-on text classification using advanced AI techniques.
Workshop Objectives
-
To provide a comprehensive understanding of Generative AI and Large Language Models (LLMs).
-
To teach participants how to preprocess data and build end-to-end AI pipelines.
-
To explore key concepts in data representation, vectorization, and model training.
-
To offer hands-on experience in text classification using Generative AI and LLMs.
-
To explain the architecture and training process of LLMs, including models like ChatGPT.
-
To equip participants with the skills needed to apply AI techniques to real-world problems.
Workshop Structure
-
Day 1: Introduction to Generative AI & Data Preprocessing
-
Overview of Generative AI and Real-World Applications
-
Introduction to Generative AI
-
Exploring its real-world applications across various industries
-
-
Understanding the Basics of Generative Models
-
The foundational concepts of generative models
-
Understanding their potential and use cases
-
-
Data Preprocessing and Embeddings
-
End-to-End Generative AI Pipeline
-
Overview of the full pipeline from data collection to model output
-
-
Data Preprocessing and Cleaning
-
Best practices for preparing datasets to ensure model effectiveness
-
-
Data Representation and Vectorization for Model Training
-
Techniques for representing textual and structured data
-
-
-
Hands-On Session: Text Classification
-
Practical session applying text classification using Generative AI models
-
Day 2: Introduction to Large Language Models (LLMs)
-
Understanding Large Language Models (LLMs)
-
Deep dive into LLMs and their architecture
-
Exploring the role of LLMs in natural language processing
-
-
Intuition Behind Transformers
-
A comprehensive exploration of transformer models and their significance in LLMs
-
-
Training of ChatGPT and Similar Models
-
How models like ChatGPT are trained, fine-tuned, and deployed for various applications
-
-
Hands-On Session: Text Classification with LLMs
-
Practical session applying LLMs for text classification tasks
-
Day 3: Advanced Techniques & Real-World Applications
-
Advanced Data Representation for LLMs
-
Understanding data representation and vectorization specifically for LLM model training
-
-
Fine-Tuning LLMs for Specific Tasks
-
Techniques to fine-tune LLMs for specialized applications
-
-
Real-World Use Cases
-
Exploring case studies on how Generative AI and LLMs are applied in industries like healthcare, finance, and customer service
-
-
Final Hands-On Session: End-to-End Project
-
A practical project integrating all concepts: building, training, and applying Generative AI and LLMs for a real-world text classification problem.
-
-
Who Should Enrol?
-
AI/ML professionals, data scientists, and engineers seeking hands-on experience with Generative AI and LLMs.
-
Students and researchers in AI, machine learning, and data science.
-
Industry professionals in sectors like healthcare, finance, and technology interested in applying AI to real-world problems.
-
Tech enthusiasts with a basic understanding of machine learning and Python programming.
Important Dates
Registration Ends
08/27/2025
IST 4 PM
Workshop Dates
08/27/2025 – 08/29/2025
IST 5:30 PM
Workshop Outcomes
Participants will:
-
Master Generative AI and Large Language Models (LLMs).
-
Gain hands-on experience in data preprocessing and text classification.
-
Learn to build AI pipelines and fine-tune LLMs like ChatGPT.
-
Acquire skills for real-world AI applications in various industries.
Fee Structure
Student Fee
₹1999 | $55
Ph.D. Scholar / Researcher Fee
₹2999 | $65
Academician / Faculty Fee
₹3999 | $75
Industry Professional Fee
₹4999 | $90
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →