Foundations of Generative AI and Prompt Engineering

Generative artificial intelligence is reshaping how we work and create, yet the underlying mechanics often feel like a mystery. This course provides a clear, text-based path to understanding how these systems generate content and how you can direct them to achieve specific goals. You will move from a basic awareness of AI to a functional understanding of its capabilities and limitations. By focusing on the logic behind the technology, you will gain the confidence to integrate these tools into your daily workflow while maintaining high standards of accuracy and ethics. What you'll learn: - Understand the fundamental terminology and concepts behind large language models. - Apply effective prompt engineering techniques to improve the quality of generated output. - Explore the ethical considerations and responsible use of AI in personal and professional contexts. - Learn how retrieval-augmented generation (RAG) helps AI systems stay current and accurate. - Practice identifying the best use cases for generative tools across different industries. - Understand the role of vector databases in modern information retrieval. The course begins with essential definitions and foundational concepts before moving into practical prompting strategies and modern architectural patterns. You will read through detailed explanations and analyze written examples to build a robust mental model of the technology. This course is designed for absolute beginners. No prior programming experience, technical background, or math expertise is required to succeed. Start building your literacy in the most transformative technology of the modern era today.