Vibe Coding for Android and iOS Mobile Apps

Topic 1: Introduction to Vibe Coding for Mobile Apps

• What is Vibe Coding?
• The Shift from Traditional Coding to Vibe Coding
• Overview of Vibe Coding Tools:
• Setting Up the Development Environment:
• Mobile app frameworks overview
• Understanding Prompt Engineering for Code
• Create a simple mobile UI screen
• Modify and refine AI-generated code

Topic 2: Building a Mobile App Using AI with Vibe Coding

• Designing a Simple Mobile App
• Using Vibe  to Generate UI Components. State Management
• AI-Assisted Debugging & Code Refactoring
• Rapid Feature Prototyping with Prompts
• Create and deploy a Android and iOS apps

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• Mobile App Developer
• AI-Assisted Software Engineer
• Prompt Engineer
• Mobile UI/UX Designer
• Full Stack Mobile Developer
• Product Prototyping Specialist
• Digital Transformation Consultant
• Mobile Application Architect
• AI Tools Integration Specialist
• Startup Technical Co-Founder
• Freelance App Developer
• Mobile Solutions Consultant
• Low-Code/No-Code Developer
• Innovation Lab Engineer
• Technical Product Manager
• Mobile QA and Debugging Specialist
• Digital Product Designer
• Cross-Platform App Developer
• AI Development Operations Engineer
• Software Development Team Lead

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations.

With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy.