
Learn how to use AI in a smarter and more practical way.
In this free Prompt Engineering Masterclass, you will learn how to write better prompts, give AI the right context, and get more useful answers from tools like ChatGPT, Gemini and other large language models.
Many people use AI with very simple prompts and then get answers that are too general, wrong, or difficult to use.
This course will help you understand how to communicate with AI clearly so you can get better results for real work.
We will start with the 4D Framework: Delegation, Description, Discernment, and Diligence. You will learn what tasks to give to AI, how to explain your request clearly, how to check the output, and how to use AI responsibly.
Then we will cover important prompt engineering techniques, including:
Zero-shot, one-shot, and few-shot prompting
Role prompting
Step-by-step prompting
Prompt chaining
ReAct prompting
Self-consistency
Meta prompting
Prompt scaffolding
You will also learn simple concepts behind how AI works, such as tokens, context windows, temperature, and why your prompt structure matters.
Because this course is also designed with practical work in mind, we will look at examples related to SQL, data engineering, debugging, documentation, data quality checks, and automation.
By the end of this course, you will know how to use AI with more confidence, more structure, and better judgment.
This course is beginner-friendly, practical, and completely free.