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AI Vibe Coding for Non-Developers

Course 4725 Advantage Plan Course

  • Duration: 1 day
  • Labs: Yes
  • Language: English
  • Level: Foundation

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 Delivery Methods

  • Online

AI Vibe Coding for Non-Developers Training Information

  • 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

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
Select Commercial or Government Pricing

$1,075

  • 1-Day Instructor-Led Training

  • Hands-on Labs

  • After-Course Instructor Coaching Included

Would you like to take this course as a team?
  • Nov. 2 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Nov. 30 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Jan. 4 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Jan. 25 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Feb. 22 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Mar. 22 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Apr. 19 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • May 17 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Jun. 14 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Jul. 12 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Aug. 10 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Sep. 10 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Oct. 6 9:00 a.m. - 4:30 p.m. EDT
    Virtual

Scroll to view additional course dates

$946

  • 1-Day Instructor-Led Training

  • Hands-on Labs

  • After-Course Instructor Coaching Included

Would you like to take this course as a team?
  • Nov. 2 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Nov. 30 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Jan. 4 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Jan. 25 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Feb. 22 9:00 a.m. - 4:30 p.m. EST
    Virtual
  • Mar. 22 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Apr. 19 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • May 17 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Jun. 14 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Jul. 12 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Aug. 10 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Sep. 10 9:00 a.m. - 4:30 p.m. EDT
    Virtual
  • Oct. 6 9:00 a.m. - 4:30 p.m. EDT
    Virtual

Scroll to view additional course dates

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AI Vibe Coding for Non-Developers FAQs

This course is classified as Beginner because:

  • No programming knowledge is assumed
  • All technical concepts are explained in plain language
  • AI tools are used through everyday language rather than code

Not at all. This course is built specifically for non-technical business professionals. You’ll work entirely in plain language—describing ideas, rules, and decisions the same way you would to a colleague. No coding, no technical setup, no prior AI experience required.

More than 60% of the course is hands-on. Participants follow a series of guided, hands-on exercises using an AI tool to build one real web application from start to finish. Each exercise adds new capability to the same app, so by the end of the day participants can run it, demonstrate it, and explain what it does.

You’ll build a working web-based decision and recommendation app from scratch. The app asks a few questions, applies business rules, and produces a clear recommendation—along with an explanation of why that recommendation was made. By the end of the day, you’ll be able to run it, demo it, and explain it with confidence.

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