AI Revealed: Theory, Application, and Ethics
A comprehensive exploration of artificial intelligence—its foundations, real-world applications, and the ethical challenges shaping its future.
Course Objectives
- Understand the foundational principles and history of AI.
- Explore machine learning, deep learning, and neural networks in practical contexts.
- Apply AI techniques to real-world scenarios in fields such as healthcare, finance, and transportation.
- Evaluate ethical considerations and social impacts of AI technologies.
Course Overview
Based on the acclaimed book *AI Revealed*, this course provides a clear and structured introduction to artificial intelligence. Through theoretical grounding and hands-on case studies, participants will gain both conceptual clarity and applied knowledge. The course concludes with critical discussions on bias, transparency, and the ethical use of AI in society.
Sample Module: Foundations of Artificial Intelligence
This module introduces core AI concepts, tracing their historical development from early computing to today’s generative models. Topics include symbolic reasoning, statistical learning, and the rise of neural networks.
Lesson: What is Artificial Intelligence?
This lesson explores key definitions of AI, differentiating between narrow and general intelligence. Learners will examine how AI is applied in current technologies and where it is headed next.