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SubscriptionPrompt Engineering 2026 Full course | Prompt engineering course | ChatGPT Prompts
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This beginner YouTube course starts with why prompt writing matters and then breaks down the parts of a good prompt. It is organized into chapters, so the material moves in a clear order from concepts to demonstrations.
The chapter timestamps let you skip straight to the demo you need. Because the course is aimed at beginners, the mistakes section is worth reading slowly, since it targets the habits that most often weaken prompts.
Go to https://bit.ly/prompt-engineering-essentials-with-aws
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Pro Course Coverage
In this course, you’ll learn:
📚 Prompt Engineering Basics – Understand why prompt writing is crucial
🔑 Key Components of a Good Prompt – Craft effective prompts that deliver results
🚀 Advanced Prompting Techniques – Zero-shot, Few-shot & Chain-of-Thought prompting
🌐 Real-World Applications – Content creation, code generation, text summarization, and more
⚠️ Common Mistakes & Best Practices – Avoid errors that lead to poor AI outputs
🛠️ Hands-on Demos – Apply what you learn with practical examples
Relevant Free Courses
Not ready for the Pro Course yet? Start with these free courses:
👉 ChatGPT for Beginners - https://bit.ly/chatgpt-for-beginners
👉 Generative AI for Beginners - https://bit.ly/generative-ai-for-beginners
👉 ChatGPT for Marketing - https://bit.ly/chatgpt-for-marketings
👉 ChatGPT for Coders - https://bit.ly/chatgpt-for-coders
🏁 YouTube Video Chapters with Timestamps:
00:00 – Introduction to Prompt Engineering
02:35 – What is Prompt Engineering
07:12 – Main Elements of Prompt Engineering
10:10 – Components of a Good Prompt
12:49 – Examples of the Components of a Good Prompt
17:37 – How to Write a Good Prompt
23:08 – Different Prompt Patterns
29:23 – Common Prompting Errors
33:11 – Applications of Prompt Engineering
38:06 – Hands-on Basics of Prompt Engineering
45:05 – Defining a Good Prompt – Text Summarization
57:38 – Defining a Good Prompt – Code Generation
01:02:04 – Zero-shot, Few-shot & Chain of Thought Process
01:05:42 – Hands-on Zero-shot
01:07:37 – Hands-on Few-shot
01:10:48 – Hands-on Chain of Thought
01:14:16 – Summary
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