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Vibe Coding VB

The Vibe Coding certificate builds AI-assisted programming capability around prompt engineering, code generation, requirements decomposition, rapid prototyping, testing and validation, and human-AI collaborative development.

Vibe Coding VB

Vibe Coding VB

The Vibe Coding certificate builds AI-assisted programming capability around prompt engineering, code generation, requirements decomposition, rapid prototyping, testing and validation, and human-AI collaborative development.

Program TypeProfessional Competency Certificate
Mode of StudyCoursework and AI Programming Practice
Competency AreaRequirements, Prompting, Code, Testing, and Delivery
Certificate RequirementApplicants with 3-5 years of relevant work experience and a bachelor's degree or above may enroll for study and training; certification is awarded after passing the assessment.

Program Positioning

The certificate is designed for software development, data applications, business automation, and digital tool-building scenarios, emphasizing the conversion of natural-language requirements into runnable, verifiable, and maintainable code deliverables.

Requirements Decomposition

Identify business goals, user scenarios, inputs and outputs, constraints, and acceptance criteria.

Prompt Engineering

Use structured prompts, contextual materials, and iterative feedback to guide AI in generating code and technical solutions.

Code Implementation

Practice rapid prototyping and integration for front-end, scripting, data-processing, or automation tasks.

Testing and Validation

Confirm deliverables through execution checks, bug fixes, edge cases, and documentation records.

Learning Objectives

Master the basic workflow and collaboration methods of AI-assisted programming.
Be able to break natural-language requirements into executable development tasks.
Develop the ability to verify, correct, and maintain AI-generated code.

Practical Tasks

  1. Complete a small application or automation tool developed with AI assistance.
  2. Prepare requirement notes, prompt records, test cases, and fix logs.
  3. Produce runnable code, delivery notes, and maintenance recommendations.

Learning Outcomes

AI-assisted requirements decomposition and prompt design capability
Rapid prototyping and code integration capability
Testing, issue-fixing, and delivery documentation capability