Foundations of Artificial Intelligence and Generative AI

Artificial intelligence is rapidly reshaping how we work, solve problems, and communicate. Understanding the core concepts of AI is no longer just for software engineers—it is a foundational skill for professionals in every industry. This written course helps you navigate the AI landscape with confidence. You will transition from a curious observer to someone who understands how AI systems think, how generative models function, and how to apply these technologies responsibly in your daily workflows. What you'll learn: - Understand fundamental AI terminology, including the key distinctions between machine learning, deep learning, and neural networks. - Explore generative AI models and the mechanics of large language models (LLMs). - Apply basic prompt engineering techniques to get more accurate and useful results from AI tools. - Learn about retrieval-augmented generation (RAG) and how external data sources enhance AI capabilities. - Analyze real-world AI applications across various business domains and industries. - Evaluate ethical considerations, bias, and responsible AI practices in modern technology. The course begins with clear, foundational definitions of artificial intelligence before progressing to neural networks, machine learning paradigms, and generative technologies. Through structured written lessons and practical conceptual exercises, you will build a solid framework for analyzing and using AI. This course is designed entirely for beginners with no prior technical background or programming experience required. Start reading today to build your foundational knowledge and prepare for the AI-driven future.