Professional Prompt Engineering: Zero to Pro
A practical, in-depth series that takes you from prompt writing basics to advanced professional techniques, with real applications in writing, coding, and analysis. Learn to structure complex prompts, fix common mistakes, and achieve precise, reliable results from AI tools.
Series Lessons
Start with the first lesson and continue in order for the best result.
Lesson 1
Discover the fundamentals of prompt engineering and why simple prompts fail. Learn the key components of effective prompts to get accurate AI results.
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Context Setting: How to Give the Model Enough Background?
Learn how providing context (background, audience, purpose) transforms AI output quality, with practical examples and a hands-on exercise for writing precise prompts.
Format Specification: Structured Output from AI
Learn to direct AI models for structured output by specifying format in prompts. Practical examples for tables, lists, and JSON, avoiding common pitfalls, with a hands-on exercise.
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Lesson 4
Learn how to assign a specific role (lawyer, chef, marketing expert) to AI for more precise, specialized responses. A practical guide with examples and hands-on exercises.
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Teaching the Model with Examples: Few-shot Learning
Discover the power of few-shot prompting to improve AI output accuracy. Learn how to train the model with a few examples to control style, format, and reasoning, with practical...
Chain-of-Thought: Step-by-Step to Higher Accuracy
Learn how to make the model think step by step to solve complex problems accurately, with practical examples and hands-on exercises.
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Lesson 7
Learn to structure complex prompts using a five-part template: Role, Context, Task, Format, and Constraints. Practical application on a marketing plan and training to write precise...
Mastering Output Boundaries: The Art of Constraints
Learn to set constraints and conditions in your prompts to control output length, style, and content, with practical examples and exercises to improve AI response accuracy.
Lesson 9
Learn to craft professional prompts for creative writing: setting tone, style, narrative structure, and character development. Practical before/after examples and a hands-on...
Lesson 10
Learn to craft professional prompts for generating clean, efficient code. Practical steps, real examples, and common pitfalls to improve your AI coding results.
AI Data Analysis: Extracting Insights
Learn to craft precise analytical prompts to extract summaries, trends, comparisons, and recommendations from your data, with practical examples, common pitfalls, and a hands-on...
Lesson 12
Learn to spot common prompt pitfalls like vagueness and overloaded requests, and fix them to get accurate AI results.
The Iterative Refinement Loop
Learn to improve prompts step by step: generate, evaluate, adjust. A practical example of refining a basic prompt through 3 iterations for precise, professional results.
Lesson 14
Learn to craft effective prompts that combine images and text to analyze, describe, or generate content. A practical guide with real-world examples and hands-on exercises.
Lesson 15
Learn to craft precise translation prompts that preserve meaning and culture. Practical steps for specifying language, domain, and terminology, with real examples and common...
Lesson 16
Learn to craft prompts that trigger critical thinking in AI: analyze arguments, weigh pros and cons, and make evidence-based decisions with balanced reasoning.
Lesson 17
Learn to craft professional prompts for persuasive marketing content using the AIDA framework, tone of voice, and clear calls-to-action, with practical examples and exercises.
Lesson 18
Learn to craft effective prompts for explaining scientific concepts simply, generating varied quizzes, and building step-by-step interactive lessons with practical examples.
Lesson 19
Master handling ambiguous requests and complex projects with professional prompts that ask clarifying questions and break tasks into subtasks for precise results.
Lesson 20
A comprehensive hands-on project: design an integrated prompt system for a real-world scenario, from context setting to output refinement, with clear evaluation criteria.