| Description
| This course covers the basics and applications of generative AI, including
models like GANs, VAEs, Diffusion Models, and Transformers. It explores AI
applications in language generation, multimedia creation, and protein design.
Students will learn about Prompt Engineering, RPA, Large Language Models,
LangChain technology, and RAG (Retrieval-Augmented Generation). The
course emphasizes using AI to automate tasks, enhance productivity, and
optimize office processes. It also includes practical tools, data handling, and
business case implementation. Students will understand AI applications and
challenges across various industries, including pharmaceutical research, virtual
characters, and smart cities.
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