Applied Generative AI for Data Professionals

If you work with data, GenAI becomes valuable when you can choose the right pattern (prompting, RAG, fine-tuning) and evaluate outputs with rigor. This course builds hands-on fluency with modern GenAI components — including LLM and multimodal basics, retrieval workflows, and practical tooling — so you can design and assess solutions rather than just experiment. The focus is on decision-making: when to use which approach, how to judge quality and risk, and how to integrate GenAI into real workflows. Best for data professionals and technical PMs who need practical literacy to guide implementation choices and communicate tradeoffs with engineering.