Key resources:

The Project Phases
- Phase 1: RAG Systems: Zero to Hero
- Phase 2: Ai Agents + Tool Use + Monitoring
- Phase 3: Recommendation system
- Phase 4: MLOps + LLMOps
- Phase 5: Ful App Integration + Cloud Deployment
- Phase 6: Monitoring + Alerting Mastery
Phase 1: Build Your Own AI Research Assistant

The 6-Week Learning Plan
- Week 1: Infrastructure & API setup
- Week 3: Ingestion Pipeline
- Week 3: Search infrastructure
- Week 4: Chunking + retrieval evaluation
- Week 5: Full RAG system + prompts
- Week 6: Observability + Versioning
Week 1: The Infrastructure That Powers RAG Systems
Substack link
The gap between AI tutorials and production reality isn't the algorithms - it's the infrastructure.
For production use case, we need to make sure our systems have:
- Robust Infrastructure - Services that don’t crash under load
- Clean Architecture - Code that teams can maintain and extend
- Observability - Monitoring that tells you what’s actually happening
- Automation - Pipelines that run without human intervent
