AI Foundations: From Neural Networks to Generative AI

Artificial intelligence is transforming every industry, making AI literacy an essential skill for modern professionals. This text-based course guides you through the fundamental concepts of AI, from traditional neural networks to the latest generative models, without requiring a technical background. By reading through clear explanations and analyzing practical scenarios, you will understand how AI technologies work, how businesses leverage them for digital transformation, and how to navigate the ethical and operational risks of deployment. What you'll learn: • Understand the core types of artificial intelligence and their real-world business applications. • Explore the mechanics of neural networks and machine learning models through written breakdowns. • Learn the foundational concepts of generative AI and prompt engineering. • Analyze how organizations transform business models using intelligent automation and data. • Evaluate the risks, ethical considerations, and human-centric principles of AI deployment. • Study key concepts aligned with foundational IT literacy frameworks and exams. The course begins with essential terminology, defining what AI is and tracing its evolution. You will then progress from basic machine learning models to advanced generative systems, wrapping up with practical business strategies and ethical frameworks. This course is designed for absolute beginners, business professionals, and students preparing for foundational IT literacy exams who want a clear, conceptual introduction to artificial intelligence. No programming or mathematics background is required. Start reading today to build a confident foundation in artificial intelligence.