This one-day instructor-led course teaches non-technical business professionals how to use modern AI tools to turn a business idea into a working web application, without writing code. Participants learn how to express business ideas as clear instructions for an AI tool, guide the tool to build a simple web app, verify that the results match their intent, and improve the app through step-by-step refinement. Rather than learning programming syntax, the course focuses on clear thinking, iteration, validation, and explanation. Throughout the day, learners build a simple web application that asks a few questions and provides clear recommendations with an explanation. By the end of the course, each participant has built, run, and demonstrated a working web app using an AI tool, and understands when and how to use this approach responsibly in a business environment. AI Vibe Coding for Non-Developers Benefits Course Benefits Use AI tools to turn business ideas into simple, working applications Take an unclear idea and turn it into something they can run and demonstrate in one day Build and use a basic web-based decision tool without writing code Create early versions of solutions without waiting on technical teams Clearly explain what an AI-built tool does, why it gives its results, and where its limits are Prerequisites General business experience Ability to describe problems, rules, or decisions in plain language No technical or coding prerequisites AI Vibe Coding for Non-Developers Training Outline Learning Objectives Module 1: Introduction to AI Vibe Coding What AI Vibe Coding means for non-developers How generative AI tools function as development assistants Differences between traditional development and AI-assisted development Human-in-the-loop responsibility Overview of the application to be built Module 2: Framing the Decision Problem Why clarity drives AI performance Defining a decision vs. defining a solution Identifying decision-maker, outcomes, and constraints Establishing measurable success criteria Lab 1: Transform a vague business idea into a clear, scoped decision problem. Module 3: App Concept and User Flow What an app concept means in business terms Inputs vs. outputs Designing for clarity and simplicity Avoiding early overengineering Lab 2: Design the App Structure - Translate the decision problem into an app concept. Module 4: Business Rules and Logic What business logic means Converting policies into conditions Making thresholds explicit Ensuring explainability Lab 3: Translate Rules into Logic - Convert business rules into structured decision logic using AI. Module 5: Building the Web App What AI-generated applications look like How to request a browser-based app Running AI-generated output safely Understanding draft vs. production software Lab 4: Generate and Run the App - Build a runnable web application. Module 6: Validation and Refinement AI limitations Edge case testing Improving clarity and explanations Human accountability Lab 5: Strengthen Reliability - Test, refine, and improve trust in the application. Module 7: Final Demonstration Demonstrating business value Explaining decisions clearly Communicating limits and risks LAB 6: Demonstrate and Explain the App - Present the app as if to a stakeholder. Module 8: Governance, Risk, and Responsible Use Human accountability Risks of over-reliance When to involve technical teams Appropriate enterprise boundaries
