1. Being able to understand fundamental AI concepts, such as machine learning and deep learning, as well as core technical principles, and clearly recognize typical AI application scenarios across various industries.
2. Having the capability to perform basic AI tool operations, including completing foundational tasks such as data entry and model training using simple modeling platforms.
3. Being capable of applying data-driven thinking to preprocess and analyze simple datasets, assisting in the identification of AI application needs.
4. Being able to apply basic logical reasoning and problem-solving abilities to evaluate the suitability of AI technologies within professional contexts.
5. Having the ability to understand AI ethics and safety guidelines, adhere to industry standards in practical applications, and maintain curiosity and adaptability toward emerging technologies.