AI-Assisted Software Development: From Requirements to Delivery

AI is changing how software is planned, designed, built, tested, and delivered. This hands-on course teaches you how to use AI tools across the entire software development lifecycle, while maintaining structure, validation, governance, and human oversight.

In this hands-on course, you will learn how to move from business intent to validated requirements, architecture, data workflows, agentic coding, testing, and delivery readiness. You will work with tools such as ChatGPT, Claude, Codex, GitHub Copilot Agent Mode, Claude Code, and Windsurf AI to understand where each tool fits, when to use it, and when not to rely on it.

You will practice building AI-assisted workflows that reduce rework, improve traceability, and help teams move faster without sacrificing quality, security, or control. Through guided hands-on exercises, you will use AI to analyse stakeholder inputs, create validated backlogs, translate requirements into architecture, design RAG-ready data and prompt workflows, and manage AI-assisted coding changes through testing, review, and governance checkpoints.

AI-Assisted Software Development Training Delivery Methods

• Online

AI-Assisted Software Development Training Information

• In this course, you will learn how to:

  • Explain how AI changes the software development workflow.
  • Choose the right AI tool for each development task.
  • Use AI to extract and validate software requirements.
  • Translate validated requirements into architecture and design plans.
  • Design reliable data, RAG, and prompt workflows.
  • Use AI agents to plan, build, test, and review code.
  • Track AI prompts, outputs, code changes, and validation results.
  • Apply governance, security, cost, CI/CD, and scaling controls.

  Prerequisites

  Basic familiarity with software development concepts is helpful. Prior experience with AI coding tools is not required.