FINTECH & INNOVATION

Fundamentals of Prompt Engineering

Can Organisations Build Prompting Skills for the AI Era?
Understand how professionals and organisations can interact with AI more effectively, design clearer prompts, and apply practical techniques to improve the quality, accuracy, and usefulness of AI-generated outputs.

Online Course

Format

44 mins

Video duration

Foundation

Level

Badge

On Completion

Badge of completion

With this online course, you will:

  • Understand what prompt engineering is and why it is becoming an essential skill in the age of generative AI
  • Learn how AI models interpret prompts and how wording, context, and structure shape the quality of outputs
  • Explore practical prompting techniques that improve the accuracy, usefulness, and clarity of AI-generated responses
  • Identify common challenges when working with AI systems, including vague outputs, misinterpretation, and hallucinations
  • Build a practical understanding of how to design, test, and refine prompts for real-world tasks across writing, research, analysis, and problem-solving
Skills

Prompt Engineering Fundamentals

AI Instruction Design

Structured Prompt Writing

Prompt Iteration and Refinement

AI Output Evaluation

Course Lessons

How AI Models Interpret Prompts

This lesson explains how AI models process prompts and generate responses. It explores the role of tokens, context, wording, and structure, showing why the way a prompt is written has a direct impact on the clarity, relevance, and usefulness of AI outputs.

The Anatomy of an Effective Prompt

This lesson introduces the core building blocks of a strong prompt, including role, context, task, constraints, and output format. It shows how structured prompts reduce ambiguity and help AI systems produce more accurate, focused, and practical responses.

Core Prompting Techniques

This lesson explores practical prompting techniques that help guide AI reasoning and improve response quality. It covers methods such as role prompting, step-by-step prompting, example-based prompting, and task-specific prompting, helping learners understand how to use different approaches for different tasks.

Improving AI Outputs Through Prompt Iteration

This lesson focuses on refining prompts and improving weak AI outputs through iteration. It examines how to identify vague, incomplete, or inaccurate responses, and shows how clearer instructions, added structure, and follow-up prompts can produce more reliable and useful results.

Meet your instructor - Eitan SIaw

Fintech Analyst

Eitan Siaw is an AI educator and practitioner focused on helping professionals use generative AI more effectively through prompt engineering. His work centres on how people interact with AI systems, from structuring prompts and refining outputs to applying practical techniques that improve clarity, accuracy, and usefulness across real-world tasks. Through this course, he helps learners build the skills to move from simply using AI tools to collaborating with them more strategically and confidently.
Created with