MC12: Data Preparation and Fine Tuning

MC12: Data Preparation and Fine-Tuning for Large Language Models

📅 June 27, 2026 (Saturday)
⏰ 4:30 PM GST
Register here:https://nas.com/artificialintelligence/events/mc12-c11

The performance of an AI model is only as good as the data behind it.
Join us for MC12: Data Preparation and Fine-Tuning, an advanced hands-on masterclass under the AI Residency Program, where you'll learn how to transform generic Large Language Models into powerful, domain-specific AI solutions.

As organizations move beyond prompt engineering, fine-tuning has become a critical skill for building AI systems that understand specialized knowledge, deliver more accurate responses, and create real business value.

In this masterclass, you'll learn:
✅ How to prepare and curate high-quality datasets for LLM training
✅ Best practices for structuring and formatting training data
✅ End-to-end fine-tuning workflows and implementation strategies
✅ Model evaluation techniques to measure performance improvements
✅ Optimization methods to improve accuracy, relevance, and efficiency
✅ Real-world approaches to building domain-specific AI applications

Whether you're a Data Scientist, AI Engineer, Machine Learning Practitioner, Researcher, or AI Enthusiast, this session will provide the practical knowledge needed to customize foundation models for your organization's unique requirements.

By the end of the session, you'll have a clear understanding of how to prepare training-ready datasets, fine-tune models effectively, and deploy AI solutions that deliver measurable business impact.

🎓 Part of the AI Residency Program

Don't just use AI models—learn how to train them to understand your domain.

Secure your seat and take your LLM expertise to the next level.