Beginner
AI+ Vibe Coding Practitioner
The AI+ Vibe Coding Practitioner™ program introduces participants to Vibe Coding, an AI-assisted development approach that uses natural-language instructions to generate code and build applications more quickly and efficiently. It combines coding fundamentals, prompt engineering, debugging, testing, and practical project development.
Duration
8 hours
Language
Arabic / English
Session Type
Online / In Class
About This Course
The AI+ Vibe Coding Practitioner™ program equips participants with the skills to use artificial intelligence tools to design software solutions and turn ideas into working applications. It begins by introducing the concept of Vibe Coding and its relationship to traditional, low-code, and no-code development. Participants learn how to write clear and structured prompts that guide AI tools in generating and improving code. The program also covers reviewing AI-generated code, identifying errors, performing tests, and validating results. Learners gain practical experience in planning a simple application and connecting frontend and backend components through natural-language instructions. The program further addresses secure coding, data privacy, AI limitations, and responsible use in development environments. It concludes with a hands-on project that allows participants to apply the acquired skills in building an AI-assisted application.
Requirements
- No Requirments
Understanding Vibe Coding
Explain the concept of AI-assisted coding and distinguish it from traditional, low-code, and no-code development approaches.
Writing Effective Coding Prompts
Create clear and structured instructions that enable AI tools to generate accurate and relevant code.
Debugging and Testing AI-Generated Code
Use AI tools to review code, identify errors, generate tests, and improve software quality.
Building Applications with Natural Language
Translate ideas and functional requirements into application components using conversational instructions.
Applying Security and Responsible AI Practices
Recognize unsafe code, prompt injection risks, data privacy concerns, and the limitations of AI-generated outputs.
Completing a Practical Coding Project
Apply the acquired skills to plan, build, test, and refine an AI-assisted application.
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