This training aims to equip participants with the essential skills to adapt and effectively use Large Language Models (LLMs). It covers the main model adaptation techniques, including fine-tuning, Prompt Engineering, Retrieval-Augmented Generation (RAG), Parameter-Efficient Fine-Tuning (PEFT), and model alignment. The course also introduces multimodality and agentic systems, two key concepts for designing advanced LLM-based applications.

Training details like: Prerequisites, Duration and practical info, Course content and Course materials are available in the event website link below.