Modern AI Web Engineer
Architect production AI web applications with React 19, LLM orchestration, vector databases, autonomous multi-agent swarms, and scalable microservice backends.
Curriculum Overview
Module 1: AI Agent Foundations & LLM Architecture
Understanding prompt engineering, structured JSON outputs, function calling, agent loops, memory management, and context windows.
Module 2: RAG & Vector Database Infrastructure
Building retrieval-augmented generation pipelines, chunking strategies, embeddings, similarity search, and hybrid vector indexing.
Module 3: Multi-Agent Orchestration & Tool Use
Designing collaborative agent swarms, subagent delegation protocols, sandbox command execution, and human-in-the-loop workflows.
Module 4: Real-time Streaming UI & React 19
Streaming Server-Sent Events (SSE) and WebSockets, optimistic UI state updates, modern layout animations, and responsive AI chat widgets.
Module 5: Microservice Backends & Production Deployment
Connecting NestJS microservices, Redis queues, auth strategies, API gateways, and deploying scaleable AI applications to production.