Prompt Engineering Mastery
Go from writing basic prompts to engineering sophisticated AI interactions. This path covers proven techniques that work across all major LLMs, from simple formatting tricks to advanced chain-of-thought reasoning.
What You'll Learn
- Master the anatomy of an effective prompt
- Use role-playing, few-shot, and chain-of-thought techniques
- Write system prompts that shape AI behavior
- Handle complex multi-step tasks with structured prompting
- Avoid common prompting mistakes and hallucination triggers
- Build reusable prompt templates for your workflows
- Adapt prompts for different LLMs (GPT, Claude, Gemini)
- Apply prompt engineering to real-world business scenarios
Course Lessons
The Anatomy of a Great Prompt
15 min readBreak down what makes prompts effective — context, instruction, format, constraints, and examples.
Read lesson →Role-Playing and Persona Prompts
12 min readLearn how assigning roles and personas to AI dramatically improves output quality for specific tasks.
Few-Shot and Zero-Shot Prompting
15 min readUnderstand when to provide examples in your prompts and how to structure them for best results.
Chain-of-Thought Reasoning
15 min readUnlock better reasoning from AI by guiding it to think step-by-step through complex problems.
System Prompts and Custom Instructions
15 min readMaster system prompts to set persistent behavior, tone, and rules for AI conversations.
Avoiding Hallucinations and Bad Outputs
15 min readLearn techniques to reduce AI hallucinations, verify outputs, and build prompts that encourage accuracy.
Read lesson →Prompting Across Different LLMs
15 min readAdapt your prompting strategies for ChatGPT, Claude, Gemini, and other models — each has unique strengths.
Read lesson →Building a Prompt Library
12 min readCreate a reusable collection of prompt templates for common tasks — writing, analysis, coding, and research.
Related Learning Paths
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