CS Mastery Course: Become a Vibe Coder Expert

This comprehensive 18-module course is designed to transform you from a prompt-dependent coder into a true "vibe coder" - someone who directs AI coding assistants with deep Computer Science judgment while building real-world projects.

Course Structure

Track 0: Foundations (2 modules)

• 0.1-git.md: Git & Version Control
• 0.2-command_line.md: Command Line & Systems Basics

Track 1: Programming Core (5 modules)

• 1.1-prog_fundamentals.md: Programming Fundamentals
• 1.2-programming_fundamentals.md: Programming Fundamentals (continued)
• 1.3-data_structures_algorithms.md: Data Structures & Algorithms
• 1.4-oop.md: Object-Oriented Programming
• 1.5-modern_js_ts.md: Modern JS/TS Patterns

Track 2: Data & Backend (4 modules)

• 2.1-dbms.md: DBMS (Database Management Systems)
• 2.2-webdev_api.md: Web Development & API Design
• 2.3-web_scraping.md: Web Scraping & Data Extraction
• 2.4-apis_automation.md: APIs & Automation (n8n & Workflow Integration)

Track 3: Security & Reliability (2 modules)

• 3.1-security_and_reliability.md: Security & Reliability
• 3.2-testing.md: Testing & Quality Assurance

Track 4: Systems & Hardware (2 modules)

• 4.1-networks.md: Networks & Communication
• 4.2-devops_deployment.md: DevOps & Deployment

Track 5: AI/ML Layer (3 modules)

• 5.1-ml_foundations.md: Machine Learning Foundations
• 5.2-llm_prompting.md: LLM & Prompting for Code
• 5.3-ai_problem_solving.md: AI Problem-Solving Methods

Real-World Projects Used as Examples

Each module includes hands-on tasks applied to realistic projects:

• TaskTracker: React habit/task/Pomodoro app
• LearningPlatform: Flask + PostgreSQL study platform
• Automation workflows: With Claude API and n8n integration

Target Audience

• CS/ECE students wanting to go beyond coursework
• Self-taught developers learning to direct AI tools with real CS judgment
• Anyone pursuing Data Science or Software Engineering who wants professional-grade skills
• Designed to complement formal curricula while adding critical EXTRA modules for industry readiness

Getting Started

Each module follows this structure:

1. Why this matters - Connection to vibe coding and real projects
2. Syllabus tag - [CORE] (standard CS/engineering curriculum) or [EXTRA] (industry skills)
3. Core concepts - 4-8 lessons with plain-English explanations, AI blind spots, and examples
4. Hands-on task - Applied to a realistic real-world project
5. Checkpoint - Question or mini-challenge to validate understanding
6. Where to go deeper - Resources for continued learning after the module

Recommended Study Order

0.1, 1.2, 2.1 → 3.1, 3.2 → 2.2, 2.4 → 2.3 → 4.2, 4.1 → 5.1, 5.2, 5.3

This sequence builds foundations first, then alternates between tracks to reinforce connections between concepts.

---

Built with �� ❤��️ for the aspiring vibe coder who wants to direct AI with CS judgment, not just prompts.