
Module 2 Lesson 4: Instruction Following and Role Prompts
Why 'Act as a Senior Engineer' works. The psychology and technicality of role-based prompting.
12 articles

Why 'Act as a Senior Engineer' works. The psychology and technicality of role-based prompting.

The golden rules of prompt engineering: Clarity, Context, and Constraints (The 3 Cs).

How to 'ground' ChatGPT in reality by providing specific data, history, and goals.

Bridges the gap between words and images. How to use ChatGPT to generate high-quality prompts for Midjourney and DALL-E.

How you ask matters just as much as what you ask. In this lesson, we learn the technical art of Prompt Engineering: from Zero-Shot to Chain-of-Thought.

How can we make AI reliable enough for a bank or a hospital? In our final lesson of Module 7, we explore the industry best practices for silencing the 'LIAR' in the machine.
The Prompt as an Interface. Understanding why the quality of your input directly determines the utility of the AI.
Zero-shot, Few-shot, and Chain-of-Thought. The three pillars of professional AI interaction.
The Refinement Loop. How to treat prompting as an experiment rather than a one-off command.
Reviewing professional prompting techniques and completing a structured output project.
Words that matter. Advanced prompting techniques like Chain-of-Thought and Few-Shot that reduce agentic errors by 40%.

Stop guessing and starting engineering. A technical guide to the principles of reliable prompt design for AI agents.