Generative AI Foundations

Generative AI is transforming how we communicate and create, yet the underlying mechanics often feel like a mystery to most. This course provides a clear, text-based foundation for anyone looking to understand how these models function, from the initial data phase to the final output. You will gain a comprehensive overview of the generative landscape, learning how to distinguish between different types of artificial intelligence and how they are developed for real-world use. By the end of this course, you will be able to navigate the ethical challenges and practical opportunities presented by this evolving technology. What you'll learn: - Understand the fundamental mechanics behind text and image generation - Identify where generative models fit within the broader landscape of machine learning - Explore the lifecycle of AI development, including training data and model evaluation - Practice responsible AI usage by identifying bias and ethical risks - Learn the basics of prompt engineering to improve interaction with AI tools - Understand the concept of Retrieval-Augmented Generation for grounding AI responses The course begins with essential terminology and basic definitions before moving into the development lifecycle, ethical frameworks, and modern collaboration patterns. This is an introductory program designed for absolute beginners, requiring no prior technical knowledge or coding experience. Start building your foundational knowledge of generative technology today.