Generative AI Foundations and Critical Thinking

Generative artificial intelligence is transforming how we work and learn, but using it effectively requires more than just typing simple prompts. To truly leverage this technology, you must understand how it operates, recognize its limitations, and evaluate its outputs with a critical eye. This text-only course guides you from the absolute basics of generative models to structured prompt design and ethical evaluation. You will learn to integrate AI tools into your daily workflows safely, productively, and responsibly. What you'll learn: - Understand the core technology behind Large Language Models and how they generate text and media. - Apply structured prompt engineering patterns to get accurate, relevant, and high-quality results. - Evaluate AI-generated content critically to identify hallucinations, biases, and factual errors. - Explore modern concepts like Retrieval-Augmented Generation (RAG) and model training in simple, clear terms. - Analyze the ethical implications, data privacy concerns, and intellectual property risks of generative tools. - Design practical workflows that combine human creativity with AI efficiency for professional projects. The journey begins with key terminology, foundational definitions, and a clear breakdown of how generative systems process information. From there, you will read through clear prompt design techniques and analyze real-world scenarios that highlight both the power and the limitations of modern AI. This course is designed entirely for beginners and requires no technical background or programming experience. Start reading today to build the critical thinking skills needed to navigate the future of AI.