Generative AI Foundations: From Prompting to Autonomous Agents

Generative artificial intelligence is rapidly evolving from a simple text-generation tool into a suite of autonomous systems capable of complex decision-making. To stay ahead, you need to understand not just how to write basic prompts, but how these modern AI architectures actually function and collaborate. This text-based course guides you through the latest paradigms in generative AI, transforming you from a passive user into a knowledgeable practitioner. You will gain a deep conceptual understanding of modern AI models, learning how they transition from static tools into dynamic, goal-oriented autonomous agents. What you'll learn: - Understand the core terminology and evolutionary stages of generative AI models. - Apply advanced prompt engineering techniques to guide model behavior effectively. - Explore the mechanics of Retrieval-Augmented Generation (RAG) and vector databases. - Analyze how autonomous agents plan, use tools, and execute multi-step tasks. - Evaluate the ethical implications and safety guardrails of modern AI systems. The course begins with essential terminology and foundational AI concepts before guiding you through practical architectures, prompting strategies, and the inner workings of autonomous agents. You will progress through clear, written explanations and conceptual code snippets designed to solidify your understanding of modern AI workflows. This course is designed for curious beginners, developers, and professionals looking to understand the next wave of AI technology, with no prior machine learning experience required. Start reading today to master the next generation of artificial intelligence.