In the two-week course, learners move from theory to hands-on practice. They fine-tune open-source Large Language Models (LLMs) on their own datasets using MiPhi’s aiDAPTIV+ platform, experiment with prompt engineering, and explore Retrieval-Augmented Generation (RAG) and LangChain. By the end, students can build and deploy mini AI agents, experiencing how real-world AI systems are developed efficiently, affordably, and intelligently

Fee Structure