Artificial Intelligence (AI) design and development involves creating intelligent systems capable of simulating human-like behaviors, learning from data, and making decisions. The process begins with identifying a problem or task that AI can address, such as automation, prediction, or natural language processing. Developers then gather relevant data and choose the appropriate AI model, like machine learning (ML), deep learning, or natural language processing (NLP).

After selecting the model, AI systems are trained using large datasets, where the system learns patterns and improves its performance over time. The development phase also includes integration into applications or devices, testing, and optimization.