Mimir, Keeper of the Well of Wisdom
Prompt Engineering for ChatGPT: Master Generative AI Prompts
Year : 2026
Language : English
Level : Advanced
Category : ChatGPT
Subcategory : Content Creation
Duration : 3h 2m
Lectures : 53
Rating :
Students : 17
INSTRUCTOR(S)
Tanmoy Das
Ex-Google | Content Creator |
HEADLINE
Ex-Google | Content Creator |
WHAT YOU'LL LEARN
Project Name
REQUIREMENTS
Skillshare account
WHO IS THIS COURSE FOR
DESCRIPTION
Generative AI is transforming how businesses create content, automate
tasks, and solve problems. However, the real power of AI tools like
ChatGPT comes from knowing how to communicate with them effectively.
This is where prompt engineering becomes an essential skill. This
course is designed to help you master the art and science of writing
powerful prompts that generate accurate, creative, and high-quality
outputs from ChatGPT and other generative AI tools. You will start by
understanding what Generative AI is, how it evolved, and why it is
becoming one of the most valuable skills in today’s digital economy.
The course explores the capabilities of Generative AI and introduces
you to the wide range of tools available for text, image, audio,
video, and code generation. Next, you will dive into ChatGPT
fundamentals, including how the platform works, its interface,
features such as SearchGPT, token usage, copyright considerations, and
the differences between ChatGPT and traditional search engines like
Google. Once the fundamentals are clear, the course moves into the
core of prompt engineering. You will learn how to structure prompts
effectively using techniques such as prompt priming, modifiers for
better outputs, and prompt starters that help guide the AI to produce
the results you want. You will also explore advanced prompt
engineering methods that are widely used by AI professionals and
developers, including: Chain-of-thought prompting Zero-shot, one-shot,
and few-shot prompting Tabular prompting techniques Ask-before-answer
prompting Prompt revision strategies These techniques will help you
generate better responses, more structured outputs, and more reliable
AI results. The course also covers creative prompting methods that
unlock new levels of AI-generated content, including: Perspective
prompting Comparative prompting Reverse prompting Fill-in-the-blank
prompting Constructive critic prompting These approaches help you
generate ideas, improve content quality, and refine AI outputs
effectively. To deepen your understanding, you will explore how Large
Language Models (LLMs) behave, including topics such as randomness in
output, prompt size limitations, and how prompts influence AI
reasoning. You will also learn powerful prompting frameworks like: RGC
prompting Persona-based prompting “Act As” prompting Prompt patterns
for structured interactions Finally, the course introduces advanced
prompt patterns and few-shot prompting techniques, teaching you how to
guide AI models with examples, intermediate reasoning steps, and
structured instructions. You will also learn repeatable prompt
frameworks such as the Recipe Pattern, Cognitive Verifier Pattern,
Audience Persona Pattern, and Question Refinement Pattern. By the end
of this course, you will have the skills to: Write clear and effective
prompts for ChatGPT Use advanced prompting frameworks used by AI
professionals Generate high-quality AI content quickly and efficiently
Understand how LLMs interpret prompts and produce responses Use AI
tools to improve productivity, creativity, and decision-making Whether
you are a marketer, entrepreneur, developer, content creator, student,
or professional, prompt engineering is quickly becoming a must-have
skill for the future of work. This course will give you the practical
techniques and structured frameworks needed to unlock the full
potential of ChatGPT and Generative AI. Start learning prompt
engineering today and take control of the future of AI-powered
productivity.
LINKS
None
COURSE CONTENT
1. Course Introduction [1:12]
2. Why Generative AI Matters [2:10]
3. Introduction to Generative AI [4:34]
4. Evolution of Generative AI [2:57]
5. Capabilities of Generative AI [2:45]
6. Applications of Generative AI [3:01]
7. Tools for Text Generation [6:20]
8. Tools for Image Generation [3:57]
9. Tools for Audio and Video Generation [1:54]
10. Tools for Code Generation [3:09]
11. Generative Versus Agentic AI [2:31]
12. What Are Large Language Models? [4:16]
13. How ChatGPT Works [4:57]
14. ChatGPT vs Google [6:00]
15. ChatGPT Interface and Layout [7:51]
16. ChatGPT Plus Features [4:11]
17. Tokens and Context Windows [4:10]
18. SearchGPT Feature [3:02]
19. What is Prompt Engineering [5:38]
20. Intuition Behind Prompts [4:03]
21. Everyone Can Program with Prompts [3:29]
22. Prompt Priming [3:11]
23. Root Prompts [3:32]
24. Prompt Size Limitations [3:25]
25. Introducing New Information to the LLM [3:32]
26. 30 Simple Prompt Starters [1:27]
27. New Ideas and Copy Generation [3:42]
28. Client Emails and Bulk Writing [4:31]
29. Modifiers for Better Outputs [2:58]
30. Few-Shot Prompting [1:57]
31. Tabular Format Prompting [3:17]
32. Chain of Thought Prompting [3:35]
33. Ask Before Answer Prompting [3:03]
34. Effective Prompt Revisions [3:15]
35. Randomness in Output [4:08]
36. Fill-In-The-Blank Prompting [2:21]
37. Perspective Prompting [2:42]
38. Comparative Prompting [2:19]
39. Reverse Prompting [7:34]
40. Constructive Critic Prompting [1:46]
41. Prompt Patterns Overview [2:16]
42. Persona Pattern [4:42]
43. Audience Persona Pattern [2:54]
44. Flipped Interaction Pattern [2:57]
45. Question Refinement Pattern [3:00]
46. Cognitive Verifier Pattern [3:44]
47. Recipe Pattern [2:40]
48. Ask for Input Pattern [2:33]
49. Few-shot Examples [2:27]
50. Few-shot Examples for Actions [2:33]
51. Few-shot Examples with Intermediate Steps [4:26]
52. Writing Effective Few-shot Examples [3:24]
53. Thank You For Taking This Course! [0:20]
DATES
Published : 2026-03-15
Last Updated : 2026-03-15
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