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Prompt Engineering: Get Better Results from AI
1 students

Prompt Engineering: Get Better Results from AI

Learn the practical skills behind better AI answers: clear prompts, examples, verification, and responsible use.
Created bySkill Delta LLC
Last updated 10/2026
English

What you'll learn

  • Explain how AI chat assistants generate responses and why wording changes the results
  • Write clear prompts using role, task, context, constraints, format, and examples
  • Control tone, length, and output format with specific constraints
  • Use few-shot examples to get a consistent style or structure
  • Use step-by-step prompting and iteration to improve reliability and quality
  • Give an assistant source material and check its output against that source
  • Recognize hallucinations and apply a practical verification routine
  • Build reusable prompt templates and use AI tools responsibly with attention to privacy

Course content

3 sections • 12 lectures • 1h 2m total length

  • How AI Chatbots Actually Respond5:17
  • The Anatomy of a Good Prompt4:58
  • Specificity, Constraints, and Format5:13
  • Examples and Few-Shot Prompting5:14

Requirements

  • No technical or coding experience is needed
  • Access to any AI chat assistant is helpful for practicing, but is not required to follow the lessons
  • No mathematics beyond basic arithmetic is needed

Description

This course contains the use of artificial intelligence.

This course is a practical introduction to prompt engineering for beginners and learners at an early intermediate level. Each lesson builds a prompt step by step and shows what changes when you improve it, so you can see why some prompts work and others do not. A running example, a small real-estate agency called Ridgeview Realty, connects every lesson. The course is independent and is not affiliated with or endorsed by any AI company.

The course is organized in three parts. The first part covers how chatbots work and how to ask: how responses are generated, the anatomy of a good prompt, specificity, constraints and format, and examples. The second part covers getting better results: step-by-step reasoning, iterating and refining, working with documents and data, and recognizing hallucinations and verifying answers. The third part covers prompts at work: prompts for writing, analysis, and planning, reusable templates and workflows, privacy and responsible use, and building your own prompting playbook.

Each lesson runs about five minutes and focuses on one idea, building toward a key insight that makes the concept click. You can move through the material at your own pace, pause on any slide, and return to a topic whenever you need it. Key terms are defined the first time they appear, examples are small and easy to follow, and each lesson closes with a summary of the main idea before the next one begins. The lessons build on each other, so watching them in order is recommended.

The course contains 13 short lectures totaling about 60 minutes of video. It teaches core concepts, is independent, and is not affiliated with or endorsed by any company or organization mentioned. It makes no claims about career or income outcomes.

AI tools were used in creating this course. AI was used to help draft the lesson scripts and slides, and the narration is a synthetic (AI-generated) voice, not a recording of a human speaker. The instructor directed the course structure and content.

Who this course is for:

  • Professionals, students, and small business owners who want better results from AI chat tools
  • Anyone who has tried AI assistants and found the answers vague, inconsistent, or unreliable
  • Teams who want shared prompting practices and responsible-use habits
  • This course is not intended for learners who want to build AI systems or write code. It focuses on using AI assistants well.

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