From Vibe Coding to Deployment Ready Application

About This Course

AI-assisted development, commonly known as “vibe coding,” has enabled us to rapidly prototype applications using natural language instructions with tools such as Codex, Gemini, and Claude Code. However, building deployment-ready systems requires more than generating working code. It requires understanding context engineering, agentic engineering, system architecture design, deployment knowledge, and long-term code maintenance practices.

This two-day hands-on course equips participants with the skills to move from AI-generated prototypes to secure, maintainable, and deployable applications. Participants will learn how to design effective context for AI coding systems (context engineering), structure multi-step AI-driven workflows (agentic engineering), and integrate components such as domain configuration, databases, storage, cloud infrastructure, authentication, and security.

Through guided exercises, participants will apply tools such as Codex, Gemini, and Claude Code to iteratively develop, refine, and deploy a functional application to a cloud environment. Participants will also learn best practices for managing AI-generated code, troubleshooting issues, and maintaining reliable and secure applications.

By the end of the course, participants will have deployed a working deployment-ready application and gained the foundational knowledge and confidence to use AI coding tools to build, deploy, and maintain real-world applications in a cloud environment.