Apply generative AI to daily workplace tasks without becoming an AI specialist. Generative AI foundations cover what GenAI is and how it differs from traditional AI, tokenization, embeddings, decoding, foundation model architectures, and the model settings such as temperature, top-p, and max tokens that shape output quality. Prompt engineering covers the CLEAR framework and RCTO/RTF structures, the adaptive iteration loop, and workflow decomposition with human checkpoints between stages. Use cases and ethics cover real-world applications, the ethical considerations around responsible use, and the regulatory and governance issues organizations now face. Hands-on no-code labs produce a personal prompt library, a workplace-task workflow, and case-study analyses across cross-industry examples. The course is designed as onboarding for working professionals across business, technical, and operations roles adopting AI tools.