The AI 103: Prompt Engineering course is where your understanding of artificial intelligence turns into real-world capability. If AI 101 taught you what artificial intelligence is, and AI 102 showed you how it works, this course teaches you how to speak its language — the art and science of prompt engineering. Whether you’re a professional looking to automate workflows, an educator using AI to create content, or a business owner exploring AI-driven productivity, this course gives you the tools and frameworks to get meaningful results from today’s most powerful AI models.

Prompt engineering is more than typing a question into ChatGPT — it’s about understanding how language models interpret context, intent, and instruction. Through structured lessons and guided exercises, you’ll learn how to craft prompts that are clear, specific, and effective. You’ll explore how system messages shape behavior, how parameters like temperature and sampling affect creativity and accuracy, and how to use multi-turn dialogue to refine your outputs. Each session builds practical mastery through examples and practice — helping you move from generic results to precision-tuned interactions.

This course takes a hands-on approach. You’ll analyze real-world prompt scenarios, experiment with rephrasing and optimization, and build prompt templates tailored to different goals — from writing assistance to data summarization, idea generation, and workflow automation. You’ll also explore role-based prompting and chain-of-thought techniques, learning how to guide AI reasoning step-by-step for more reliable answers. Every session is packed with usable skills that you can immediately apply in ChatGPT, Copilot, Claude, or other AI tools.

Just as importantly, AI 103 emphasizes responsible prompt design. You’ll learn how to recognize bias in responses, avoid data leakage or unintentional exposure, and implement secure prompting practices aligned with ethical AI principles. These lessons prepare you not just to use AI effectively — but to use it safely and intelligently in business, education, or enterprise environments.