What you'll learn

Backend development is being redefined. APIs no longer just serve data — they orchestrate models, validate LLM output, route by intent, and run autonomous agents. In this course, AI-Native Backend Engineering with JavaScript, you'll gain the ability to design and build production-ready AI-native backend systems from the ground up. First, you'll explore schema-first validation — treating LLM output as an untrusted external service that must be validated, corrected, and structured before your system acts on it. Next, you'll discover intent-driven routing — classifying natural language input using LLMs and routing it to the right handlers automatically, replacing brittle if-else logic with intelligent, model-driven dispatch. Then you'll learn model context protocol — exposing your backend tools to any MCP-compatible AI client, giving models the ability to act inside your system, not just talk about it. Finally, you'll master the agentic lifecycle pattern — building autonomous agents that plan, act, observe, and reflect in continuous loops to resolve real-world tasks without human intervention. When you're finished, you'll have the skills and architecture knowledge needed to design backend systems where AI is the foundation, not an afterthought.