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Course Outline

Introduction to Replit AI and the Workspace

  • Overview of Replit AI and its support for rapid application development.
  • Navigating the workspace, editor, console, and live preview features.
  • Understanding typical application-building workflows within the browser.
  • Identifying practical business use cases for rapid application creation.

Starting a Project and Planning the App

  • Creating a new project from a template or prompt.
  • Defining a simple application idea, target users, and core features.
  • Structuring prompts to obtain useful initial results.
  • Running the application and reviewing the generated project structure.

Building Features with Replit AI

  • Using AI to generate interface components and application logic.
  • Refining features through follow-up prompts and minor adjustments.
  • Reviewing code suggestions before acceptance.
  • Enhancing usability and basic application flow.

Testing, Debugging, and Managing Configuration

  • Testing key user flows in the live preview.
  • Using AI to explain errors and suggest fixes.
  • Troubleshooting common issues in simple web applications.
  • Securely managing secrets and environment variables.

Preparing, Deploying, and Sharing the App

  • Reviewing the application before release.
  • Deploying the application from Replit.
  • Verifying that the deployed application functions as expected.
  • Sharing the application and identifying practical next steps for improvement.

Wrap-Up and Next Steps

  • Reviewing what was built during the course.
  • Discussing how Replit AI integrates into day-to-day work.
  • Planning next steps for further application development.

Requirements

  • A fundamental understanding of web application concepts.
  • Comfortability with using web browsers and online tools.
  • Basic programming experience is beneficial but not mandatory.

Audience

  • Business professionals looking to quickly transform ideas into working applications.
  • Beginner developers aiming to accelerate app creation with AI assistance.
  • Team leads, analysts, and creators interested in building and sharing simple internal tools.
 7 Hours

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