Must have a working knowledge of Artificial Intelligence, (AI), Machine Learning, and Generative AI (GenAI) terms and processes, such as the following: Large Language Models (LLM), Transformer Architecture (transformers), AI Instruction Design (Prompt Engineering), Model Specialization (Fine-Tuning), Vector Representations (Embeddings), Retrieval Augmented Generation (RAG), Text Units (Tokens), AI Fabrication (Hallucination), Zero-shot Learning (Zero-shot), Reasoning Process (Chain-of-Thought), Input Capacity (Context Window), Randomness Parameter (Temperature). Embrace emerging technologies in medical education and interprofessional healthcare ethically by educating learners early to use technology tools with ease, enhancing their educational experience and elevating skillsets by equipping learners with technology tools to be cutting edge competitive and leaders in their chosen healthcare field.