Vibe Coding: Building Digital Solutions with AI

Training Provider: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
Course Reference: TGS-2026063776
S$600
Original: S$2,000
Save S$1,400

About This Course

Generative Artificial Intelligence (AI) is rapidly transforming the way digital products and software solutions are built. A new approach known as vibe coding enables individuals to collaborate with AI systems to translate ideas into working code using natural language instructions.

This course introduces participants to the principles and practices of AI-assisted development through a tool-agnostic learning approach. Participants will learn how to communicate effectively with AI systems, structure prompts for coding tasks, interpret AI-generated outputs, and iteratively refine results to develop functional prototypes.

Through hands-on exercises and project-based learning, participants will gain practical experience using AI to accelerate prototyping, problem solving, and innovation.

The course also covers responsible AI usage, including considerations related to security, intellectual property, and human oversight in AI-assisted development.

By the end of the course, participants will understand how to integrate vibe coding workflows into modern digital development processes.

What You'll Learn

- Explain the concept of Artificial Intelligence (AI)-assisted development and vibe coding.
- Apply structured prompting techniques to guide AI in generating code or logic.
- Interpret and evaluate AI-generated code and outputs.
- Apply iterative prompting and debugging strategies to refine results.
- Develop simple digital prototypes using AI-assisted workflows.
- Identify risks and limitations of AI-generated code.
- Apply responsible and ethical practices when using AI for development tasks.

Entry Requirements

- Basic computer literacy
- Familiarity with digital tools and applications
- Basic logical reasoning and problem-solving skills

No prior programming experience is required, although it may be beneficial.

Course Details

Duration 14 hours
Language English
Training Commitment Part Time
Total Enrolled 23 students
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