intermediate7 lessons · 1h 5m

Advanced Prompting Techniques

Past the basics of RICE prompting? This course adds the techniques that handle multi-step reasoning, style mimicry, repeatable tasks, and diagnostic fixes when prompts fail. Less about complexity, more about precision.

What you'll be able to do

Move past basic RICE prompting into the techniques used by people who get AI to actually work for them: chain-of-thought reasoning, few-shot examples, efficient iteration, persistent system prompts, reusable templates, and diagnostic patterns when prompts fail.

About This Course

If you've mastered the basics — Role, Instruction, Context, Expectations — you've handled 80% of workplace AI work. This course is the other 20%: the situations where basic prompting hits its limit, and what to do then. You'll learn how to ask AI to show its reasoning before answering, how to anchor outputs with examples instead of adjectives, how to iterate quickly when the first answer is wrong, how to set up persistent context so you stop retyping the same setup every conversation, how to build a personal prompt template library for recurring tasks, and how to diagnose failed prompts in 30 seconds instead of giving up. Not about long, complicated prompts. Often the most advanced prompts are shorter than the basic ones — they just do more work per word. Best taken after "AI for Your Workday" or after enough hands-on AI use that you've felt the limits of basic prompting.

Course Outline

Module 1: Sharper Prompts

Past the basics. Techniques that handle multi-step reasoning, style mimicry, and the iteration discipline that turns first-draft prompts into refined ones.

Module 2: Making It Repeatable

Stop rewriting the same prompts from scratch. Set up persistent context, build templates for recurring tasks, and diagnose failed prompts fast.