Planning, Building, and Testing with AI

Planning, Building, and Testing with AI Courseware (DEVAI103)

AI

Planning, Building, and Testing with AI is for people who want to use AI tools to build apps and websites in a more organized, reliable way. The course shows students how to turn an idea or set of requirements into a clear plan, then use tools such as Claude Code, ChatGPT, Codex, and GitHub Copilot to help build from that plan.

Students will learn how to guide AI with specifications, break work into manageable steps, check whether the output matches the original goals, and improve the project through testing, review, and refinement. By the end of the course, students will have a practical process for using AI coding assistants to plan features, build with more control, catch problems earlier, and make improvements with greater confidence.

Publisher: Webucator

Benefits

  • Turn app and website ideas into clearer requirements and project specifications with AI assistance.
  • Use tools such as Claude Code, Codex, and GitHub Copilot to help plan, build, test, and improve projects.
  • Prioritize features, manage project scope, and create an implementation plan before building.
  • Guide agentic AI coding assistants with clear specifications and project context.
  • Use build-test-evaluate-iterate workflows to improve AI-generated results step by step.
  • Check for missing edge cases, incomplete work, quality risks, and mismatches with the original plan.
  • Use AI to support testing, auditing, refactoring, and re-validation of app and website projects.

Outline

  1. Planning and Specification with AI
    1. Requirements to Spec Translation
    2. Prioritization and Scope Management
    3. Architecture and Data Planning
    4. Draft Core Specification
    5. Build Implementation Plan
  2. Building from Spec with Agentic Workflows
    1. Spec Injection in Prompts
    2. Build-Test-Evaluate-Iterate Loops
    3. Edge Cases and Completeness
    4. Implement Core Feature from Spec
    5. Extend Feature Set with Traceability
  3. Testing, Auditing, and Refactoring with AI
    1. AI-Assisted Testing Strategies
    2. Quality and Risk Audit Framework
    3. Refactoring Patterns and Guardrails
    4. Test and Audit Pass
    5. Refactor and Re-Validate

Required Prerequisites

Students should be comfortable using AI coding assistants to generate, revise, review, and troubleshoot basic code for apps or websites.

License

Length: 4 hours | $35.00 per copy

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What is Included?
  • Student Manual
  • Student Class Files
    Courseware Tracks

    This course is included in the following tracks: