Path 3: Build AI Products
Design, build, and deploy production-ready AI-powered applications.
Path 2 Completion Checklist
Before starting Path 3, ensure you understand:
- ✅ Built a streaming chatbot with error handling
- ✅ Implemented RAG search with embeddings
- ✅ Used tool calling to create interactive agents
- ✅ Deployed an AI feature to production
Need to review? → Path 2: Integration
Choose Your Learning Style
- 🎯 Learn by Doing: Start with Full-Stack SaaS project → reference guides
- 📚 Learn by Content: Read Advanced RAG Patterns first → then build
Path 3: Build AI Products
Design, build, and deploy production-ready AI-powered applications.
Week 1
Advanced RAG
Implement production-grade RAG with hybrid search, re-ranking, and metadata filtering for enterprise knowledge bases.
Week 2
AI Engineering
Treat prompts like code. Implement evals, monitoring, and feedback loops to systematically improve AI quality.
Week 3
Deployment & Optimization
Deploy to Edge/Workers for low latency, implement caching strategies, rate limiting, and cost optimization.
Week 4
Multi-Agent Systems
Build complex autonomous workflows with multiple specialized agents, fine-tuning strategies, and local LLM deployment.
Next Steps
Ready to build? → Projects Section
Review concepts? → Tech Fundamentals