What You'll Learn
You will follow cirriculum and tutorials using an AI technology stack that's used by top tech companies.
Core Technologies
- FastAPI - Modern, high-performance Python web framework
- PostgreSQL + SQLite - Professional database management
- pgvector - Vector database for AI
- OpenRouter API - Multi-model AI access
Modern Web Technologies
- HTMX - Dynamic web interfaces without JavaScript frameworks
- Alpine.js - Lightweight reactive JavaScript
- Tailwind CSS - Utility-first CSS framework
- DaisyUI - Component library for rapid UI development
Development Tools
- uv - High-performance Python package manager, alternative to traditional tools like `pip`
- Alembic - Database migration management
- SQLModel - SQL databases with type safety
- FastAPI Users - Authentication and user management
🎯 Real-World Experience
You'll work on a production-ready application that demonstrates real-world skills.
Architecture & Best Practices
- Model-View-Service (MVS) - Clean separation of concerns
- Async/await patterns for high-performance applications
- Environment-based configuration (development vs production)
- Database migrations with Alembic
- Authentication systems with JWT and session management
AI Integration
- Real-time chat interfaces with LLM integration
- Vector database operations for semantic search
- Multi-model AI access through OpenRouter
- Streaming responses from AI models
Production Features
- Admin panel with SQLAdmin
- User management with role-based permissions
- File upload and image processing
- Database backup and recovery systems
- Environment management tools
Career Benefits
Gain industry-relevant skills and build a portfolio that stands out.
Industry-Relevant Skills
- FastAPI is rapidly growing in popularity for AI applications
- Vector databases are essential for modern AI systems
- Async programming is the future of web development
- Type safety reduces bugs and improves code quality
Portfolio Project
- Open source contribution to a real application
- Production-ready code you can showcase
- Modern tech stack that employers value
- AI integration experience in high demand
Learning Outcomes
- Build scalable web applications with modern Python
- Integrate AI models into published web applications
- Implement vector databases for semantic search
- Deploy async applications with proper architecture
- Use modern development tools and best practices
What You'll Build
Create real-world applications with cutting-edge technologies.
Core Features
- AI Chat Interface - Real-time conversations with LLMs
- Admin Dashboard - Database management and user administration
- Authentication System - Secure user login and role management
- File Management - Photo upload and processing
- API Development - RESTful endpoints with automatic documentation
Advanced Features
- Vector Search - Semantic similarity with pgvector
- Multi-model AI - Switch between different AI providers
- Real-time Updates - HTMX for dynamic interfaces
- Database Migrations - Schema evolution management
- Production Deployment - Environment configuration
Mentorship & Support
Get personalized guidance and professional development opportunities.
Weekly Video Meetings
- Video meetings with mentor
- Clear instructions on tasks and how to advance
- Structured learning path with tutorials and GitHub issues
Skills Development
- Git and GitHub experience - push, pull requests, review, issues
- Open source contribution - project will be open source
- Professional reference - Jesse Casman, President of Oppkey
- AI-enhanced coding - experience with in-editor tools such as Cursor, Copilot
- Resume enhancement - can put "Open Source Software Developer" on resume
Ready to Get Started?
This is an excellent opportunity to learn industry-standard AI development with a modern, high-performance technology stack that's in demand by top tech companies.