Generative AI Fundamentals: From Concepts to Business Strategy

Generative AI is transforming how we work, but navigating the landscape requires a solid grasp of its underlying principles. This course takes you from a curious beginner to a knowledgeable professional capable of identifying how generative models solve real-world problems and address modern business needs. You will transition from learning basic definitions to understanding the strategic application of these powerful tools. Through clear text-based explanations, you will gain the vocabulary and conceptual framework necessary to discuss and implement AI solutions confidently. What you'll learn: - Understand the fundamental differences between artificial intelligence, machine learning, and generative AI. - Identify how various data types and multimodal inputs power different generative models. - Explore strategies like Retrieval-Augmented Generation (RAG) to overcome the limitations of foundation models. - Analyze the core principles of responsible and secure AI development to mitigate risks and bias. - Learn the basics of prompt engineering to interact effectively with large language models. - Master the terminology used in modern vector databases and data embeddings. The course begins with essential definitions and the history of AI before moving into practical architectures and strategic deployment considerations. This course is designed for beginners and professionals who want a clear, text-based introduction to AI without any technical prerequisites. Start building your foundational knowledge of generative AI today.