Artificial Intelligence: Concepts, Systems, and Ethical Foundations

Artificial intelligence is rapidly reshaping industries, yet the underlying technology often remains a mystery. This course demystifies AI, providing a clear, text-based introduction to the principles that power modern intelligent systems.By the end of this course, you will have a solid, practical understanding of AI terminology, model types, and real-world applications, enabling you to confidently engage with and utilize AI technologies.What you'll learn:<ul><li>Understand the core terminology of Artificial Intelligence, Machine Learning, and Deep Learning models.</li><li>Learn how different types of intelligent systems are developed, trained, and deployed for specific tasks.</li><li>Apply effective prompt engineering techniques to interact with large language models and generate targeted outputs.</li><li>Analyze the crucial ethical considerations surrounding AI, including data bias, fairness, and transparency.</li><li>Practice interpreting the results and limitations of common AI applications in business and technology.</li></ul>The course begins with foundational definitions and the history of AI before progressing into the mechanics of machine learning, neural networks, and modern generative AI tools. We conclude by exploring the societal impact and responsible use of AI.This course is designed for absolute beginners and requires no prior knowledge of programming, statistics, or advanced mathematics.Start building your foundational knowledge in the technology driving the digital future.