Understanding Prompt Engineering — DataCamp

Alex Banks introduces prompting through short lessons and exercises in DataCamp’s learning environment. The course covers clear instructions, zero-shot and example-based prompting, then asks learners to evaluate accuracy and relevance. It offers a small, focused commitment for someone deciding whether to continue into a longer AI course.

What you will learn

• Recognize how clarity and context influence an instruction.
• Distinguish prompts with no examples from one-shot and few-shot prompts.
• Assess whether a response is accurate and relevant to its task.

Who this suits

DataCamp lists no prerequisites and says that a separate ChatGPT license is not required for the course exercises. This suits a beginner who prefers interactive practice to a long video-only course.

Before you enroll

The provider’s estimated hour is a course estimate, not a deadline. Take longer on incorrect exercises, and check full-course access rather than assuming that an available introductory chapter is the whole course.

DataCamp offers limited introductory access and paid learning plans. Check the current enrollment options for the full course. Its statement of accomplishment records completion and is distinct from a professional certification exam.

Put it into practice

Create two prompts for the same fictional request, changing only the examples supplied. Write a short explanation of which answer fits the task better and which factual claims still need checking.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at DataCamp.

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