Vibe Coding for Apps & AI Agents

This course introduces learners to “Vibe Coding” — a fast, creative, and AI-assisted approach to building working applications and AI agents without heavy traditional programming. Designed for non-technical and semi-technical participants, the course emphasizes experimentation, rapid prototyping, and learning-by-making rather than complex coding syntax.

Participants will learn how to turn ideas into functioning apps and AI agents using tools such as Google AI Studio and AnyGem Qoder, alongside selected free and open-source automation platforms. Core concepts such as prompting, agent logic, and human-in-the-loop design are explained in simple, practical terms.

The course features hands-on activities where learners build chatbots, productivity agents, and simple automated workflows. Throughout the course, participants will understand how AI can act as a collaborator in app development — assisting creativity, reasoning, and problem-solving while keeping humans in control

1. Understand the principles of Vibe Coding and how it differs from traditional programming
2. Use Google Antigravity to design and deploy simple AI-powered applications.
3. Design and implement AI agents that can perform multi-step tasks and workflows.
4. Build and present a functional AI-powered app or agent as a final capstone project.

1. Aspiring app builders with little or no coding background.
2. Students, educators, and creatives interested in AI-driven tools.
3. Entrepreneurs or professionals looking to prototype ideas quickly.
4. Analysts, marketers, or operations staff seeking to automate simple workflows with AI.

"With concise and clear delivery, the trainer effectively covered predictive and prescriptive forecasting using large data sets."

-Randolph Perez, Singapore Prison Service (2024)

"Patient and thorough, the trainer ensures everyone is on track, making everything in the workshop highly useful."

-Siti Saleha, ICA (2024)

"The trainer is excellent at simplifying complex concepts and emphasising practical application, making everything in the workshop highly useful."

-Yong Kang, ST Telemedia (2024)

Dwight Fonseka is the Head Data Analyst at Plano, the world’s first science-based parental control application and an Adjunct Lecturer at the London School of Business and Finance. His interest in the area of data developed sometime in 2014 when he ventured into data analytics and database management. 7 years later, he has achieved an impressive skill set in data. This includes advanced statistics, big data analytics, cloud computing, neural networks, R programming, business analytics, data storytelling, and more. Dwight has a Masters in Education (Curriculum & Teaching), Certnex CAIP (Certified Artificial Intelligence Planner), and an Advanced Certificate in Learning and Performance (ACLP).