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AI & Data • Step-by-Step Curriculum

AI Tools & Coding with AI Setup (Everything Before Coding & Debugging)

Everything a beginner or builder must learn first before coding and debugging with AI: IDE setup, terminal & Git safety, context prompting, diff review, and test-driven verification.

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Sign in to save progress, pass the Mastery Test, and earn a verified MESHLUMA Certificate. Practice Mastery Test (5 Questions)
Practical Equipment & Study Requirements
What laptop, phone, internet, and free tools you need for this field—plus cloud options if your device is low-spec.
Laptop / PC Specs

Minimum:

Recommended:

Free Cloud Option:

Phone & Internet

Laptop Essential

Internet: Low-to-moderate (~250 MB/week) for IDE extensions, docs, and AI chat.

Free Software & Hardware Kit

Hardware / Kit: None required

Expert Stage

Scale, observability, testing, leadership, and real-world deployment.

Step 6 expert ~10 hrs

Test-First AI Workflow: Automated Verification Before Shipping

Require automated tests (PHPUnit/Pytest/Playwright) after every AI edit so regressions never slip in.

What You Will Learn
  • Writing failing repro tests first
  • Running full test suites after every AI patch
Hands-On Milestone Project: Build a small feature end-to-end with AI where every change is verified by passing tests.
Field Mastery Assessment

AI Tools & Coding with AI Setup (Everything Before Coding & Debugging) — Practical Mastery Assessment

Score 80% or higher (5 scenario questions) + submit your real practical capstone project after at least 7 days of study to earn a Verified MESHLUMA Certificate.

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Tests are given after studying all 6 steps to prove real practical mastery.

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