MC12: Data Preparation and Fine-Tuning is an advanced, hands-on masterclass under the AI Residency program focused on customizing Large Language Models (LLMs) for domain-specific applications.

In this session, participants will learn how to prepare high-quality datasets, structure training data effectively, and apply fine-tuning techniques to enhance model performance for targeted use cases. The masterclass covers data curation, formatting best practices, training workflows, evaluation methods, and optimization strategies. By the end of the session, learners will be equipped to build tailored AI models that deliver improved accuracy, relevance, and business impact.

This masterclass is part of the AI Residency.

✅ Join the new AI Residency cohort starting Jul 11 to build this end-to-end with guided support, project feedback, and a production-ready workflow—from data ingestion → indexing → retrieval → evaluation → deployment.

https://academy.decodingdatascience.com/airesidencyfasttrack