Course Content
Module One: Introduction To Artificial Intelligence
Objective: Understand the foundations of AI by exploring its definition, history, types, and the emergence of generative AI. Learners will gain a broad perspective on what AI is, how it evolved, and where it is headed.
0/7
Welcome to Module One
00:26
1.1 What is Artificial Intelligence
01:03
1.2 The History Of Artificial Intelligence
1.3 Core Concepts
00:53
1.4 The Rise Of Generative A.I
Next: Real World Applications Of Artificial Intelligence
00:24
Quick Quiz
00:03:00
Module Two: Real World Applications Of Artificial Intelligence
Objective: Discover how AI is transforming various sectors through practical use cases. Learners will explore AI in the workplace, education, data analytics, and low-code tools, gaining insight into tools and applications they can use in their own work or learning.
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Welcome to Module Two
00:23
2.1 A.I Use Cases & Real Life Examples
00:38
2.2 A.I In The Workplace
01:17
2.3 A.I For Data Analysis
2.4 A.I For Students & Educators
Next: Responsible A.I Use
00:17
Quick Quiz
00:03:00
Module Three: Responsible A.I Use
Objective: Introduce learners to responsible AI use. Help learners understand the ethical, professional, and safe ways to apply AI tools without compromising data, quality, or integrity.
0/4
Welcome To Module Three
00:23
3.1 How To Use A.I Responsibly In Your Work
Next: Prompt Engineering
00:26
Quick Quiz
00:03:00
Bonus Module: Prompt Engineering Basics
Objective: Teach learners how to write better prompts to get accurate, useful, and creative responses from AI tools.
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Prompt Engineering
00:38
Module 4: Wrap-Up
0/2
Wrap-Up: Congratulations!
Resource Appendix
Artificial Intelligence For Smart Work

    Prompt Engineering

    What is Prompt Engineering?

    Prompt engineering is the skill of crafting the right instructions (prompts) that tell an AI what you want it to do. The better your prompt, the better your results.

    Think of it like talking to a smart assistant. If you’re vague, you’ll get vague results. If you’re clear and detailed, you’ll get magic.

     

    Anatomy of a Good Prompt

    A good prompt usually includes:

    1. Clear instruction: What should the AI do?
    2. Context: Who is it for? What is it about?
    3. Format: How should the response look?
    4. Tone (optional): Should it sound formal, friendly, persuasive?

     Example:

    ❌ Bad: “Write an email.”

     ✅ Better: “Write a formal email to a new client introducing our services in a friendly, professional tone.”

     

    Prompt Types You Should Know

    There are different styles of prompts for different goals:

    1. Instructional prompts: “Explain how solar energy works to a 10-year-old.”
    2. Creative prompts: “Write a bedtime story about a cat who learned to code.”
    3. Role-based prompts: “Act like a career coach and review my CV.”
    4. Step-by-step prompts: “Break down how to plan a social media calendar for a new product.”
    5. Refinement prompts: “Make this summary sound more persuasive.”

     

    Tips for Better Prompting

    To get the most out of A.I:

    1. Be specific: Vague prompts = vague answers.
    2. Give examples: If you want a certain style, show it.
    3. Use follow-up prompts: You can refine or ask the AI to improve its own response.
    4. Test variations: Try rewording if the answer isn’t quite right.
    5. Iterate and learn: The more you experiment, the better you’ll get.

    Prompting is not just typing. It’s a thinking skill, the clearer your thoughts, the better your prompts.

     

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