Build production-grade data pipelines with Deno, TypeScript, and AI-assisted programming. Focus on real-world EU to USA data conversion scenarios with zero technical debt.
This comprehensive 4-week course teaches you to build high-performance data pipelines using Deno's modern runtime. You'll master EU to USA data conversions while learning enterprise-grade project management with PMAT and AI-first development practices.
A complete, production-ready pipeline that converts:
- π± Currency: EUR β USD with real-time rates
- π Units: Metric β Imperial (meters β feet, Celsius β Fahrenheit)
- π Dates: DD/MM/YYYY β MM/DD/YYYY
- π’ Numbers: 1.234,56 β 1,234.56
- π Addresses: EU format β USA format
- π Phone: +44 β +1 formats
- π° Tax: VAT β Sales Tax
- π Privacy: GDPR β CCPA compliance
- β‘ Latency: <100ms P99
- π Throughput: >10,000 records/second
- π Reliability: 99.99% uptime
- π§ͺ Quality: 90% test coverage, 0 technical debt
# Required versions
deno --version # >=2.0.0
git --version # >=2.40.0
# Optional but recommended
node --version # >=20.0.0 (for tooling)
docker --version # >=24.0.0# Clone the repository
git clone https://github.com/yourusername/data-pipelines-deno-typescript-course.git
cd data-pipelines-deno-typescript-course
# Initialize Deno configuration
deno task init
# Run initial tests
deno task test
# Start development
deno task dev- Deno runtime mastery
- TypeScript strict mode
- AI programming patterns
- Basic converters (currency, units, dates)
- Project: Multi-converter CLI tool
- Stream processing with Web Streams API
- Backpressure handling
- Error boundaries
- Pipeline composition
- Project: Streaming data pipeline
- Complex conversions (address, tax, privacy)
- Performance optimization
- Caching strategies
- Parallel processing
- Project: High-performance pipeline
- Deployment strategies
- Monitoring and alerting
- CI/CD pipeline
- Performance validation
- Final Project: Production EUβUSA pipeline
src/
βββ converters/ # Conversion modules
β βββ currency/ # EUR β USD
β βββ units/ # Metric β Imperial
β βββ formats/ # Dates, numbers, etc.
βββ pipeline/ # Stream processing
β βββ ingestion/ # Input validation
β βββ transformation/ # Core conversions
β βββ output/ # Delivery layer
βββ shared/ # Common utilities
βββ types/ # TypeScript types
βββ utils/ # Helper functions
βββ constants/ # Configuration
# Development
deno task dev # Start with watch mode
deno task test # Run tests with coverage
deno task bench # Run performance benchmarks
# Quality
deno task lint # Lint code
deno task fmt # Format code
deno task check # Type check
deno task quality # Run all quality checks
# Build
deno task build # Compile for production
deno task deploy # Deploy to Deno DeployTry out all Deno tooling commands with our guaranteed-working demo files:
# Basic commands that work perfectly
deno check demo.ts # β
Type check (no errors!)
deno fmt demo.ts # β
Format code
deno lint demo.ts # β
Lint code
deno run demo.ts # β
Run the demo
deno test demo.test.ts # β
Run unit tests
deno bench demo.bench.ts # β
Performance benchmarks
deno doc demo.ts # β
Generate documentation
deno compile demo.ts # β
Create executable
# Test all commands at once
./test-demo-commands.sh # Automated verificationπ See DenoTools.md for complete documentation with examples.
Explore Deno's powerful task runner with our comprehensive examples:
# Demo tasks (guaranteed to work)
deno task demo:basic # β
Run the demo app
deno task demo:test # β
Run demo tests
deno task demo:bench # β
Run demo benchmarks
deno task demo:all # β
Run all demo tasks
# Development workflow
deno task dev # Start with file watching
deno task serve # Start HTTP server
deno task quality # Run all quality checks
deno task build # Build for production
# Advanced task pipelines
deno task pipeline:quality # Format β Lint β Check β Test
deno task pipeline:build # Quality checks β Build
deno task pipeline:deploy # Build β Deploy to staging
# Utility tasks
deno task clean # Clean build artifacts
deno task health # Run health checks
deno task info # Show project informationπ See DemoTasks.md for complete task runner documentation with 50+ examples.
Explore advanced cross-language integration with our Ruchy programming language demo:
# Ruchy integration demo
deno task ruchy:demo # β
Complete Deno Γ Ruchy integration
deno task ruchy:demo:shell # β
Interactive Ruchy shell via Deno
# Direct Ruchy commands (requires ruchy installation)
deno task ruchy:check # Check if Ruchy is installed
deno task ruchy:eval # Evaluate Ruchy expressions
deno task ruchy:repl # Start Ruchy REPL
deno task ruchy:run # Run Ruchy scripts
deno task ruchy:fmt # Format Ruchy code
deno task ruchy:test # Run Ruchy tests
deno task ruchy:ast # Generate AST from Ruchy code
# Install Ruchy (requires Rust)
cargo install ruchy # Install from crates.ioDemo Features:
- π Bi-directional Integration: Deno TypeScript invokes Ruchy language
- β‘ Performance Comparison: Fibonacci benchmarks between languages
- π§ͺ Code Examples: Currency conversion, pattern matching, functional programming
- π³ AST Generation: Parse and analyze Ruchy code structure
- π― Error Handling: Comprehensive error reporting and validation
- π Syntax Checking: Validate Ruchy code before execution
π See ruchy-demo.ts for complete implementation and examples.
- β No TODO, FIXME, HACK, or XXX comments
- β Complete implementations or create tickets
- π¨ Build fails on any SATD detection
- Cyclomatic complexity: β€10
- Cognitive complexity: β€15
- Function length: β€50 lines
- File length: β€300 lines
- Week 1: 70% minimum
- Week 2: 80% minimum
- Week 3: 85% minimum
- Week 4: 90% minimum
This course emphasizes AI-assisted development:
- Specification-first: Write detailed specs, AI generates implementation
- Test-driven with AI: Define tests, AI creates code to pass them
- AI code review: Automated reviews for style and conventions
- Prompt patterns: Learn effective prompting for 10x productivity
- Claude Code - Primary AI assistant
- GitHub Copilot - Inline suggestions
- Cursor IDE - AI-first editor (optional)
- Configure Deno development environment
- Setup AI programming tools
- Initialize PMAT configuration
- Create project structure
- Setup quality gates
- Implement basic converters
Track detailed progress in ROADMAP.md
# Run all tests
deno test
# Run specific test file
deno test src/converters/currency/eur-to-usd.test.ts
# Run with coverage
deno test --coverage=coverage
# Generate coverage report
deno coverage coverage --lcov > coverage.lcov
# Run benchmarks
deno bench# Install deployctl
deno install --allow-all --no-check -r -f https://deno.land/x/deploy/deployctl.ts
# Deploy to production
deployctl deploy --project=eu-usa-pipeline src/main.ts- AWS Lambda with Deno Layer
- Cloudflare Workers
- Google Cloud Run
- Docker containers
- Course Specification - Complete course details
- Architecture Guide - System design
- API Reference - Module documentation
- Quality Gates - Quality standards
- AI Patterns - Effective AI usage
- Follow the Code of Conduct
- Check the ROADMAP.md for current tasks
- Create tickets for features >3 hours
- Maintain 90% test coverage
- Zero SATD policy applies
This course is proprietary educational content. See LICENSE for details.
- Deno team for the amazing runtime
- TypeScript team for the type system
- Claude and GitHub Copilot for AI assistance
- Toyota Production System for quality principles
Ready to build production-grade pipelines? Start with Week 1: Foundations β