AI Skills For Work
Beginner

Prompt Engineering for Beginners

Course Overview Prompt engineering is the skill of communicating effectively with AI tools like ChatGPT, Gemini, and Copilot to get results that are actually useful at work. This course teaches you…

Beginner 1-2 hour course Earn 1 badge

About This Course

Course Overview

Prompt engineering is the skill of communicating effectively with AI tools like ChatGPT, Gemini, and Copilot to get results that are actually useful at work. This course teaches you the fundamentals — from understanding how AI models work, to crafting prompts that save you hours every week.

By the end of this course, you will be able to write prompts that produce professional-quality outputs for emails, reports, data tasks, and more — without writing a single line of code.

What You Will Learn

  • How large language models (LLMs) process your instructions
  • The 4 pillars of a high-quality prompt: Role, Task, Context, and Constraints
  • Advanced techniques: few-shot prompting and chain-of-thought reasoning
  • Real-world applications: email automation, data cleaning, report writing
  • Practice labs with real workplace scenarios

Who This Course Is For

This course is designed for working professionals in any industry — marketing, finance, operations, HR, project management — who want to use AI tools more effectively. No technical background required.

Course Details

  • Level: Beginner
  • Duration: Approximately 2 hours
  • Modules: 5
  • Lessons: 10
  • Badges: 2 skill badges on completion

Course Modules (5)

Module 1: Introduction to AI and Prompting

Before you can write great prompts, you need to understand what you are actually talking to. This module demystifies AI language models and explains why the quality of your input directly determines the quality of your output.

Large language models (LLMs) like ChatGPT and Gemini are trained on vast amounts of text. They predict the most likely next word based on everything they have read. They do not think — they pattern-match at an extraordinary scale.

Key insight: An LLM is not searching the internet for your answer. It is generating a response based on statistical patterns in its training data. This is why the way you phrase your request matters enormously.

What LLMs Are Good At

  • Summarising and rewriting text
  • Generating structured content (emails, reports, lists)
  • Translating between formats (e.g., bullet points to paragraphs)
  • Explaining concepts in plain language
  • Drafting first versions of documents

What LLMs Struggle With

  • Real-time information (unless connected to the internet)
  • Precise arithmetic and calculations
  • Remembering previous conversations (without memory features)
  • Tasks that require physical interaction with systems
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AI Skills Team

Practitioner-Led Instructor

Practitioner-led instruction with real-world case studies from actual workplace scenarios.

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