Learn Prompt Engineering
Learn to craft prompts that get reliable AI results
Learn Prompt Engineering trains learners to design effective prompts for generative AI systems such as ChatGPT by teaching practical prompt patterns like zero-shot, one-shot, and few-shot prompting. It emphasizes actionable techniques and reusable templates that help produce more reliable, controllable outputs from large language models.
The course pairs concise lessons with hands-on projects, quizzes, and an introduction to chain-of-thought prompting and retrieval-augmented generation so learners can apply prompting strategies to real tasks. Expect a focus on measurable prompt-design skills that transfer directly to content generation, prototyping, and AI-assisted workflows.
At a Glance
Learn Prompt Engineering is a practical course that teaches techniques for crafting effective prompts to improve interactions with generative AI systems. It is taught by Hisham Touma and the Codecademy curriculum team and covers prompt design strategies, pattern-based templates, and an introduction to retrieval-augmented generation.
| Level | Beginner |
| Rating | 4.5 out of 5 |
| Duration | 3+ hours |
| Languages | English |
| Learners | 10K+ learners |
| Certificate | Certificate of completion (available with Plus or Pro) |
| Access | Access for as long as your subscription is active |
| Course includes |
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| Price | Subscription-based access; certificate and additional features require a paid plan |
What This Course Teaches
Outcomes are framed as measurable competencies you can demonstrate by applying prompt techniques to real tasks. By course end, learners should be able to design, implement, and evaluate prompts that reliably guide generative AI toward desired outputs.
How the Course Is Structured
The course is organized into four modules and combines short lessons with hands-on projects and quizzes; it runs for about 3 hours in total. This compact, module-based layout supports focused, self-paced study that moves quickly from concept to applied practice.
Curriculum overview
01 Learn Prompt Engineering ▾
Introduces core prompt-engineering concepts and how to prepare an AI for productive interactions.
02 Crafting Effective Prompts ▾
Teaches how to break tasks into clear steps, control tone and complexity, and develop reusable prompt templates.
03 Prompt Engineering Patterns ▾
Covers prompt patterns for organizing input, shaping output responses, and diagnosing or fixing prompt failures.
04 Introduction to Retrieval Augmented Generation ▾
Provides a basic overview of Retrieval Augmented Generation and how it can be used to process custom data with generative models.
Audience & Requirements
Learn Prompt Engineering is aimed at learners who want practical, transferrable skills for guiding generative AI toward predictable, useful outputs. It is designed for beginners and working professionals who need to apply prompt techniques in real tasks rather than study lengthy theoretical detail.
- Product managers and designers integrating AI-driven features.
- Content creators and marketers seeking faster, higher-quality content generation.
- Developers and technical practitioners prototyping with large language models.
- Curious learners and hobbyists exploring generative AI capabilities.
- No special prerequisites; the course is listed at the Beginner level.
- Completion of “Learn How to Use Chat — GPT” is recommended before starting.
- Basic comfort composing prompts and reading/writing in English.
Final Verdict
Given its strong rating and broad learner base, this concise, project-led course is a solid option for beginners and professionals who want practical, applied prompt-engineering skills. It provides efficient, hands-on training that is especially valuable for people who plan to use generative AI regularly in product, content, or development workflows.
That said, the certificate and fuller feature set are tied to a paid subscription, so the course represents the best value for ongoing learners or those who already subscribe; occasional learners seeking a one-off reference may want to weigh the subscription model against their expected usage. If you need a short, practical introduction to prompt engineering with guided projects and AI-assisted feedback, this course is worth taking.
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