Instructor: Kenneth Wai-Ting Leung
What you'll learn
✓ Use AI tools to generate, modify, and improve code for real-world tasks without prior programming experience.
✓ Apply prompt engineering techniques to guide AI models in producing accurate and useful code.
✓ Evaluate and refine AI-generated code for data analysis, web applications, and visualization projects.
Skills you'll gain
• Category: Data ScienceData Science
• Data Science
• Category: Program DevelopmentProgram Development
• Program Development
• Category: SimulationsSimulations
• Simulations
• Category: DebuggingDebugging
• Debugging
• Category: Prompt EngineeringPrompt Engineering
• Prompt Engineering
• Category: Web DevelopmentWeb Development
• Web Development
• Category: Generative AIGenerative AI
• Generative AI
• Category: Vibe codingVibe coding
• Vibe coding
• Category: Python ProgrammingPython Programming
• Python Programming
• Category: Data AnalysisData Analysis
• Data Analysis
• Artificial Intelligence
• Category: HTML and CSSHTML and CSS
• HTML and CSS
This course introduces learners to the practical use of artificial intelligence for generating and improving computer code across multiple disciplines. Designed for students and professionals from any major, it requires no prior programming or AI experience. Learners explore how AI tools support coding tasks through effective prompt design, hands-on experimentation, and guided examples using Python. The course emphasizes real-world applications, including data analysis, basic web development, and research-oriented data visualization. Participants also learn to critically evaluate AI-generated code, identify limitations and errors, and refine outputs for practical use. By the end of the course, learners will be able to responsibly integrate AI-assisted coding into academic, professional, or creative projects, enhancing efficiency, problem-solving skills, and confidence in working with modern AI technologies.