Prompt Engineering: Role Prompting and Chain-of-Thought

Communicating effectively with Artificial Intelligence requires more than just typing a simple question. To get accurate, high-quality responses, you need to understand how to structure your requests and strategically guide the model's reasoning process. This text-based course introduces the core concepts of prompt engineering, focusing on two powerful methodologies: Role Prompting and Chain-of-Thought. You will start by learning the fundamental terminology of Large Language Models (LLMs) and how they process instructions. From there, you will practice assigning specific personas to the AI and breaking down complex problems into logical, step-by-step sequences to drastically improve the reliability of your outputs. What you'll learn: - Understand foundational AI terminology and how language models interpret text prompts. - Apply Role Prompting to assign specific expertise, context, and tone to AI responses. - Practice Chain-of-Thought techniques to guide models through logical, step-by-step reasoning. - Implement few-shot prompting to provide text examples and improve output consistency. - Design structured context blocks to reduce AI hallucinations and increase factual accuracy. - Create a library of reusable, text-based prompt templates for everyday analytical tasks. The course flows logically from basic definitions to practical, written exercises where you will analyze, draft, and refine prompts. You will read through clear explanations of prompt structures and apply these techniques to real-world scenarios. Designed entirely for beginners, this course requires no prior coding or AI experience—just a willingness to read, learn, and experiment with language. Begin building your prompt engineering skills today and unlock the true capability of modern AI tools.