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AI Fluency & Prompt Engineering
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AI Fluency & Prompt Engineering

Develop real-world AI prompt engineering skills for industrial environments.
In just one hour, you'll learn how to structure effective prompts, refine AI outputs, and apply ethics and data safety practices. This course gives you a solid foundation to start using AI responsibly in your daily work.

AI Fluency & Prompt Engineering
SK4EII
SK4EII

AI Fluency & Prompt Engineering

Full Code

DIG0101S4E205

Module Type

E-learning

Description

Are you ready to move beyond casual AI use and become a true Prompt Engineer in your industrial environment?

Develop real-world AI prompt engineering skills for industrial environments.

In just one hour, you'll learn how to structure effective prompts, refine AI outputs, and apply ethics and data safety practices. This course gives you a solid foundation to start using AI responsibly in your daily work.
This beginner-friendly course introduces the fundamental concepts and techniques of effective prompt engineering through real-world industrial scenarios.

Across five modules, you'll build a structured prompting mindset using the 4 Pillars framework (Role, Context, Instruction, Format), master advanced techniques, iterate and refine AI outputs, and integrate AI into complex operational workflows. All while safeguarding sensitive data and applying the Human-in-the-Loop principle for safety-critical tasks.

By the end of this one-hour course, you'll be equipped to use AI as a powerful, secure, and reliable tool in your daily operations.

What you will learn

Build effective prompts using the 4 Pillars framework: Role, Context, Instruction and Format.
Apply advanced prompting techniques, including few-shot prompting, delimiters, and iterative refinement, to generate reliable AI outputs.
Design complex workflows using chained prompts and prompt libraries for multi-step industrial tasks.
Use AI safely and ethically by protecting sensitive data, applying the Human-in-the-Loop principle, and recognising bias in AI-generated outputs.

Module content
EN

Learning Outcomes

  • Appreciates that the quality of the AI's output is directly related to the clarity of the input.
    2
  • Understands that using AI is an active skill that requires experimentation.
    2
  • Is aware of the concept of "hallucinations" and the risk of factual errors.
    2
  • Recognizes the need to treat AI-generated content with skepticism and check for accuracy.
    2
  • Understands that generative AI is a "suggestion engine," not an oracle of truth.
    2
  • Summarizes a piece of text (e.g., an article, a meeting transcript) using an AI tool.
    2
  • Drafts basic emails or messages using AI assistance.
    2
  • Rewrites or rephrases a sentence or paragraph to improve clarity.
    2
  • Can identify the types of tasks that are a good fit for AI assistance (e.g., brainstorming, summarizing).
    2

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