Prompt Engineering & Generative AI for Professionals
Learn proven prompt engineering techniques to get accurate, useful results from ChatGPT, Claude, Gemini and other generative AI tools.
About this course
Generative AI tools are only as good as the instructions you give them. In this practical course you will learn a repeatable framework for writing prompts that produce accurate, well-structured and on-brand results — whether you are drafting content, analysing documents, writing code or building workflows.
Through dozens of real-world examples you will practise role prompting, few-shot examples, step-by-step reasoning, structured outputs and prompt chaining. You will also learn how to reduce hallucinations, evaluate output quality and build a personal prompt library you can reuse every day.
What you'll learn
- Write clear, specific prompts using a proven framework
- Use few-shot examples and structured output formats
- Break complex tasks into reliable prompt chains
- Reduce hallucinations and verify AI-generated content
- Apply generative AI to writing, analysis and coding tasks
- Create a reusable prompt library for your role
Syllabus
5 modules · 3 weeks · approx. 12 hours total
Module 1How generative AI models respond
- Tokens, context windows and temperature
- Why models hallucinate
- Choosing the right model for the job
Module 2The core prompting framework
- Role, task, context and format
- Being specific about constraints
- Iterating on prompts
Module 3Advanced techniques
- Few-shot prompting
- Step-by-step reasoning
- Structured outputs: tables, JSON and checklists
Module 4Prompt workflows
- Prompt chaining
- Working with long documents
- Building simple AI assistants
Module 5Quality and safety
- Fact-checking AI output
- Protecting sensitive data
- Measuring prompt performance
Requirements & who it's for
Prerequisites
- No coding required
- Access to any free generative AI chatbot
Who this is for
- Marketers, writers and analysts
- Developers getting started with LLMs
- Anyone who uses AI chatbots at work
Frequently asked questions
Which AI tools does the course use?
The techniques work with any modern chatbot. Examples are shown with several popular assistants so you can follow along with whichever tool you prefer.
Is prompt engineering still useful as models improve?
Yes. Better models reward clearer instructions, and skills like structuring tasks, giving context and verifying output remain essential.
Read before you start
Prompt Engineering: 10 Techniques That Get Better Results From AI
Ten practical techniques, with copy-ready examples, that turn vague AI answers into accurate, structured and genuinely useful results.
What Is Generative AI? How It Works, Uses and Limitations
How tools that write, draw and code actually work — plus the most useful applications and the risks you need to understand.
What Is Machine Learning? A Plain-English Guide for Beginners
Machine learning explained without jargon: how computers learn from data, the main types of ML, real examples and how to get started.
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