AI-Native Backend Engineering with JavaScript

Backend development is being redefined.
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.
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