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Intermediate AI Engineering Premium

Vibe Coding: AI-Assisted Software Development for Professional Engineers

DRAFT PLACEHOLDER PRICING — not a live purchasable SKU while unpublished.

**Vibe Coding: AI-Assisted Software Development for Professional Engineers** teaches AI-assisted engineering **with professional controls**.

You will LEARN to frame problems before prompting, give AI the right context, and verify output; BUILD small, reviewable changes with tests and security review; and GROW the judgement to know **when not to trust AI**.

This is not “prompt tricks,” not “build without coding,” and not a ChatGPT tip list. Free Africoders discovery may warm you up; this Premium BUILD track is structured practice with assessment and a portfolio-grade **AI-Assisted Builder Operations Service** capstone — graded on engineering outcomes and human evidence, not how much AI you used.

## Positioning

LEARN → BUILD → GROW. AI accelerates implementation; engineers remain responsible.

## Tool freshness

Stable competencies are vendor-agnostic. Model names and IDE UIs belong in dated tool notes — not graded MUST criteria.

## Further reading

- Git documentation — https://git-scm.com/doc - GitHub: About pull request reviews — https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/reviewing-changes-in-pull-requests/about-pull-request-reviews - OWASP Top Ten — https://owasp.org/www-project-top-ten/ - OWASP AI Security and Privacy Guide — https://owasp.org/www-project-ai-security-and-privacy-guide/ - OWASP AI Security project hub — https://owaspai.org/ - NIST AI Risk Management Framework — https://www.nist.gov/itl/ai-risk-management-framework - MDN Web Security — https://developer.mozilla.org/en-US/docs/Web/Security - Laravel 13 Testing — https://laravel.com/docs/13.x/testing - Testing Library guiding principles — https://testing-library.com/docs/guiding-principles/ - Semantic Versioning — https://semver.org/ - Laravel 13 documentation — https://laravel.com/docs/13.x - React Learn (for frontend-shaped slices) — https://react.dev/learn

12 Modules
36 Lessons
18h Study time
Intermediate Level

Course journey

How this Premium programme is structured — from foundations to practical work.

  1. The New Engineering Workflow
  2. Problem Framing Before Prompting
  3. Prompting as Engineering Communication
  4. Giving AI the Right Context
  5. AI-Assisted Implementation
  6. Reviewing AI-Generated Code
  7. Testing AI Output
  8. Debugging With AI
  9. Security and Trust
  10. Git, Collaboration and AI Audit Trails
  11. From AI-Assisted Build to Production
  12. Professional Vibe Coding Capstone

Curriculum

Week 1: The New Engineering Workflow

  • What AI-assisted development changes (and what it does not) Preview 28min
  • Hallucination, confident wrongness, and the verification mindset 30min
  • Human responsibility when AI accelerates implementation 28min

Week 2: Problem Framing Before Prompting

  • Requirements, constraints, and non-goals under AI acceleration 30min
  • Acceptance criteria and edge cases that constrain AI output 32min
  • Why bad specifications produce bad AI output 28min

Week 3: Prompting as Engineering Communication

  • Structured prompts: task, context, constraints, expected output 30min
  • Iterative prompting, decomposition, and exposing assumptions 30min
  • Avoiding gimmicky “magic prompts” 28min

Week 4: Giving AI the Right Context

  • Repository context: files, contracts, conventions, tests 32min
  • Architecture and API/schema context without dumping secrets 30min
  • Context drift vs “more text” 28min

Week 5: AI-Assisted Implementation

  • Small, reviewable, reversible changes 30min
  • Feature slices, boilerplate, and explaining existing code 28min
  • Avoiding giant generated rewrites 28min

Week 6: Reviewing AI-Generated Code

  • Correctness, contracts, and “looks right” vs “is right” 32min
  • Maintainability, hidden assumptions, and over-engineering 30min
  • Practicing rejection: finding and refusing bad AI output 34min

Week 7: Testing AI Output

  • Tests as verification — not rubber stamps 30min
  • Unit, integration, boundary, and negative cases for AI-touched code 32min
  • Reviewing AI-generated tests (and why they can lie) 30min

Week 8: Debugging With AI

  • The professional debugging loop (observe→reproduce→isolate→hypothesis→evidence→verify) 32min
  • Asking AI targeted questions without outsourcing diagnosis 30min
  • When AI proposes the WRONG diagnosis — catching and documenting it 34min

Week 9: Security and Trust

  • Secrets, private repos, and prompt/context leakage 32min
  • Insecure AI defaults: injection, XSS, authz mistakes 34min
  • Security review checklist for AI-assisted changes 30min

Week 10: Git, Collaboration and AI Audit Trails

  • Small commits and meaningful messages for AI-assisted work 28min
  • Human code review remains the gate 30min
  • Building an AI audit trail: accept, reject, correct, verify 34min

Week 11: From AI-Assisted Build to Production

  • Locally functional ≠ production-ready 30min
  • Config, migrations, logs, rollback, and verification 32min
  • Operational ownership after AI-assisted ship 28min

Week 12: Professional Vibe Coding Capstone

  • Capstone brief: AI-Assisted Builder Operations Service 30min
  • Planning, AI usage policy, and verification strategy 32min
  • Demo, readiness checklist, and retrospective 30min
₦65,000
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