AI Fundamentals: From Machine Learning to Generative AI

Artificial intelligence is transforming how we work and live, but understanding how it actually works can feel overwhelming. This course demystifies the core concepts of AI, guiding you from foundational definitions to the cutting-edge world of generative models. You will transition from a curious observer to a knowledgeable professional capable of discussing AI concepts intelligently and using generative tools effectively. You will understand the mechanics behind machine learning, neural networks, and large language models, giving you the confidence to identify AI opportunities in your own field. What you'll learn: - Understand core AI terminology, including the differences between machine learning, deep learning, and generative AI. - Explore how neural networks and large language models (LLMs) process and generate information. - Apply basic prompt engineering techniques, including system instructions and role-prompting, to get better results from tools like ChatGPT. - Discover modern AI architectures, including retrieval-augmented generation (RAG) and transformer models. - Evaluate ethical considerations, bias, and responsible AI practices in real-world deployments. The course begins with foundational definitions and basic concepts before moving into the mechanics of machine learning, modern language models, practical prompting strategies, and ethical frameworks. This course is designed entirely for beginners, requiring no prior programming experience or technical background. Start reading today to build your literacy in the technology shaping our future.