AI for Coding and Software Development: The Complete Guide
About this course
Build real software faster and safer using AI coding tools inside Visual Studio Code.This course is demo-first and hands-on. Each lesson is a practical scenario you will see on real teams: a flaky PR, a risky refactor, a failing test suite, a dependency swap, a small feature from a spec, and an end-to-end deploy and verification flow. You will learn how to use modern AI assistants as a daily partner while still keeping the engineering bar high.What you will do in this courseDebug real bugs, make safe fixes, and prove them with testsTurn short specs into shippable changes with clean commits and PR-ready summariesRefactor confidently using contract tests and review checklistsGenerate useful docs and mini runbooks that match the codeLearn how to work within tool limits by batching prompts and keeping context tightPractice safe workflows for edits and command running (you stay in control)Tools you will learn (in real workflows)Visual Studio CodeGitHub CopilotCursorGoogle AntigravityAmazon Q DeveloperWindsurfOpenAI Codex (VS Code)What you getStep-by-step demos you can follow in your own editorDownloadable project files for the exercisesStudent prompt packs you can reuse to practice the same workflow againWho this course is forDevelopers who can already read and edit code (Python or JavaScript) and want practical, repeatable AI-assisted workflows for shipping features, fixing bugs, writing tests, and reviewing PRs.PrerequisitesVS CodePython (3.10+ recommended)Node.js (LTS recommended)GitA GitHub accountChatGPT Plus is optiona
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What you'll learn
- debug real bugs
- make safe fixes and prove them with tests
- turn short specs into shippable changes
- refactor confidently
- generate useful documentation
- practice safe workflows for edits
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