For CS Students 🎓

The Bridge to Industry

Your CS degree taught you theory. This course teaches you how companies actually build software. Master the skills that land internships and ace technical interviews.

📅 6 weeks 📖 6 chapters 🔨 6 projects 🐍 Python
🪨
Stone
Production Data
⚡
Lightning
Event Systems
🧲
Magnetism
API Design
Free
Bridge the gap today

Join 300+ CS students preparing for industry

  • ✓ Production-ready projects
  • ✓ System design interview prep
  • ✓ Real-world architecture patterns
  • ✓ CI/CD & deployment skills
  • ✓ AI-augmented development
  • ✓ Portfolio-worthy capstones

What You'll Learn

🗄️

Production Databases

PostgreSQL, Redis, connection pooling, and optimization

⚡

Async Programming

Event loops, async/await, and concurrent processing

🔌

API Design

RESTful APIs, authentication, versioning, and error handling

📐

System Design

Architecture patterns for interviews and real projects

🚀

Deployment

CI/CD pipelines, Docker, and cloud deployment

🤖

AI Integration

Build tools that leverage AI for real productivity gains

Curriculum

1
🪨 Production Data Layer
From SQLite to PostgreSQL
📖 2 hours🔨 Data Service
  • Why production databases are different
  • Connection pooling and optimization
  • Caching with Redis
  • Database migrations
  • Project: Production Data Service
2
⚡ Event-Driven Architecture
Async Processing at Scale
📖 2 hours🔨 Event Pipeline
  • Understanding event loops
  • Async/await in production
  • Message queues and workers
  • Retry patterns and dead letter queues
  • Project: Event-Driven Pipeline
3
🧲 API Integration Suite
Building & Consuming APIs
📖 2 hours🔨 API Gateway
  • RESTful design principles
  • Authentication (JWT, OAuth)
  • Rate limiting and security
  • API versioning strategies
  • Project: API Integration Suite
4
🏛️ System Design Foundations
Interview-Ready Architecture
📖 2 hours🔨 Design Portfolio
  • The system design interview framework
  • Common architecture patterns
  • Trade-off analysis
  • Diagramming with Mermaid
  • Project: System Design Portfolio
5
🚀 Capstone I: Full-Stack Application
End-to-End Development & Deployment
📖 4 hours🔨 Deployed App
  • Planning a production application
  • Full-stack architecture
  • CI/CD with GitHub Actions
  • Cloud deployment strategies
  • Project: Deploy a Complete Application
6
🤖 Capstone II: AI-Augmented Tool
Building with Intelligence
📖 4 hours🔨 AI Tool
  • AI integration patterns
  • Working with LLM APIs
  • Prompt engineering for developers
  • Building an AI-powered developer tool
  • Project: AI-Augmented Development Tool

This Course Is Perfect For

🎓

CS Students

Juniors and seniors preparing for industry roles

🔍

Internship Seekers

Want to stand out in technical interviews

📚

Self-Taught Developers

Looking to fill gaps in production knowledge

Frequently Asked Questions

What prior knowledge do I need? +
You should be comfortable with Python basics (variables, loops, functions, classes). If you've completed data structures and algorithms courses, you're ready!
Will this help me get an internship? +
Absolutely. This course is specifically designed to teach the skills that companies look for but universities often don't cover: production systems, deployment, and real-world architecture.
How is this different from my CS classes? +
Your CS classes teach theory and algorithms. This course teaches you how to build and deploy real applications that companies actually use. It bridges that gap.

Ready to Bridge the Gap?

Stop wondering what "production-ready" means. Build real systems that prove you're ready for industry.

Start Learning Free →