ML in Production: Why Most ML Models Never Reach Production
14
AWS Engineering: The Trade-off Between Observability and Cost
22
AI in Production: Human-in-the-Loop Isn’t Optional – It’s Architecture
111
Architecture Realities: The Cost of Ignoring Backward Compatibility
74
Data Insights: Introduction to dbt (Data Build Tool) for Analytics
1 220
AWS in Production: The Hidden Risk of Over-Reliance on Managed Services
43
Security Insights: API Observability – Monitoring What Happens Beyond 200 OK
223
AW Dev Rethought Radar | Dec 7 – 13, 2025
178
Architecture Insights: Architecture Decisions You Can’t Easily Undo
109
AI in Production: Why AI Proof-of-Concepts Rarely Reach Production
115
Architecture Realities: Why Distributed Systems Prefer "Good Enough" Over Perfect
78
Mobile Engineering: Why Most Mobile Apps Fail Differently Than Web Apps
81
AD
NLP & LLM Foundations — From Words to Intelligence
Learn how language AI works — tokenize text, build embeddings, use transformers, and deploy your own NLP models.
Ideal for developers and creators stepping into chatbots, LLMs, and language-driven AI systems.