Advanced Generative AI Architectures and Multimodal Applications

This course groups the foundational and applied skills from the previous two courses to explore advanced generative AI architectures and multimodal systems. Learners will deepen their understanding of retrieval-augmented generation (RAG), vector databases, and lightweight fine-tuning techniques such as LoRA. The course also introduces image generation on tools and multimodal prompting strategies to help students design creative and personalized applications. Ethical considerations and system safety are incorporated to prepare learners for responsible deployment. 

Prerequisite: Introduction to Generative AI with Python and LLMs and Application Development with LLMs