This topic explores prompt engineering as the skill of translating human intent into precise instructions for large language models. Learners study how prompt clarity, specificity, context, and format shape AI outputs, and practice iterative refinement techniques to reliably generate accurate, useful, and ethical code solutions.

Vibe coding introduces a creative, conversational style of building software by describing goals, aesthetics, and behavior in everyday language while AI handles technical implementation. Learners explore how vibe coding lowers technical barriers, accelerates prototyping, and empowers non-coders and developers alike to rapidly turn ideas into working applications.

This hands-on module applies AI tools to generate, interpret, and modify Python programs. Learners work with basic syntax, control structures, and logic, using AI to accelerate development while learning to read, test, and debug generated Python code.

This topic demonstrates how AI can assist with data mining and data visualization tasks. Learners generate code to collect, analyse, and visualize data, while developing skills to assess data quality, interpret results, and refine AI-generated analytical workflows.

This module introduces AI-assisted web development by guiding learners to create a simple personal webpage. Using AI-generated HTML, CSS, and basic interactivity, learners focus on structure, design, and usability while understanding how web components work together.

This topic explores AI-assisted coding for research and simulation tasks. Learners use AI to generate code for simulations, experiments, and visualizations, emphasizing interpretation, and presentation of results in academic and exploratory research contexts.