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Generative AI: Prompt Engineering Basics

Beginner English Course CertificateFREE
SkillsPrompt engineeringGenerative AILLMsPrompt techniquesAI tools

Is this course right for you?

Our take
IBM's structured, beginner-friendly take on prompt engineering — a more tool-oriented alternative to Vanderbilt's course for people who like their learning laid out in clear steps.

Good for: A structured, beginner introduction to prompt engineering.

Skip if: You want advanced prompting or to build with an API.

It covers what prompt engineering is and why it matters, then works through practical techniques and common approaches in an organised way. If you want IBM's methodical style it's a solid choice, though it stays at introductory level — for advanced prompting or building on an API you'd look elsewhere. It's free to audit on Coursera, and brief enough that most people who want the certificate finish before a free trial runs out. Worth a quick check that it's been kept current, since AI tools shift fast (as of 2026).

Comparison · LBS

Compare alternatives for Generative AI: Prompt Engineering Basics

Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
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About this course

Generative AI: Prompt Engineering Basics from IBM is a structured, beginner-friendly introduction to writing effective prompts. It covers the fundamentals — what prompt engineering is and why it matters — then works through techniques like zero-shot and few-shot prompting, and introduces common prompt-engineering tools and approaches.

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Instructor

RA
Rav Ahuja
Coursera instructor

Delivered by IBM's Skills Network with Rav Ahuja, who leads many of IBM's popular entry-level AI and data courses. The approach is structured and practical, built for newcomers rather than engineers.

Frequently asked questions

No. It teaches the basics of prompt engineering — writing clear, effective instructions to get better results from generative-AI tools — as a skill anyone can learn, with no programming required. From IBM, it covers prompting techniques and patterns in plain terms. Non-technical people follow it comfortably; it is about communicating well with AI, not building it or writing code.

Both teach prompting fundamentals without coding, and either is a reasonable choice. Vanderbilt's (Dr Jules White) is widely taken and university-branded; this IBM one is a focused, practical introduction with the IBM name. The core skills — being specific, giving context and examples, structuring prompts — overlap heavily. Pick based on preference; the durable prompting principles they teach are broadly the same.

The IBM name lends some credibility, but there is no recognised prompt-engineering certification, and nobody hires on one. Treat it as a marker of effort rather than a qualification. The real value is genuinely getting better results from AI tools, which shows in your work. Take the course for the skill; the certificate itself carries little weight on its own.

You can typically audit it on Coursera (where IBM courses appear) to watch the material at no cost, with graded elements and the certificate behind a subscription. Since much of the value is learning and then practising the prompting techniques yourself, auditing gives you the substance if you want the skill rather than the credential.

It is short — typically a few hours — as an introductory course. That makes it a quick way to pick up practical prompting basics you can apply immediately to AI tools, without a large time commitment. The lasting improvement comes from practising the techniques on real tasks, so treat the runtime as the grounding.
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