This paper provides an introduction to generative artificial intelligence (Gen-AI) and its underlying concepts, applications, and challenges. It begins by defining artificial intelligence (AI) and its three categories: narrow, general, and super intelligence. The paper then delves into symbolic AI, machine learning (ML), and deep learning, explaining their mechanisms and differences. It introduces large language models (LLMs) and natural language processing (NLP), highlighting the role of transformers in generating content. The focus shifts to Gen-AI, detailing how tools like ChatGPT use LLMs and NLP to create content. The paper discusses the applications of Gen-AI in business and education, emphasizing its potential to enhance creativity, productivity, and personalized learning. However, it also addresses challenges such as competition, explainability, accuracy, ethics, legal issues, security, and sustainability. The conclusion emphasizes the need for collaboration among stakeholders to ensure the responsible use of Gen-AI and its long-term benefits.This paper provides an introduction to generative artificial intelligence (Gen-AI) and its underlying concepts, applications, and challenges. It begins by defining artificial intelligence (AI) and its three categories: narrow, general, and super intelligence. The paper then delves into symbolic AI, machine learning (ML), and deep learning, explaining their mechanisms and differences. It introduces large language models (LLMs) and natural language processing (NLP), highlighting the role of transformers in generating content. The focus shifts to Gen-AI, detailing how tools like ChatGPT use LLMs and NLP to create content. The paper discusses the applications of Gen-AI in business and education, emphasizing its potential to enhance creativity, productivity, and personalized learning. However, it also addresses challenges such as competition, explainability, accuracy, ethics, legal issues, security, and sustainability. The conclusion emphasizes the need for collaboration among stakeholders to ensure the responsible use of Gen-AI and its long-term benefits.