Phase 0
Refresh the modern Java and Spring Boot foundations every AI integration builds on: records, virtual threads, reactive streams, and containers.
Java 17 se 21 ke sirf wo features jo AI kaam mein roz use hote hain — records, text blocks, pattern matching, sealed classes aur virtual threads — Hinglish mein, code English mein.
Tutorial padheinFunctional Java sirf utna jitna AI kaam mein lagta hai: document pipeline ke liye streams, missing metadata ke liye Optional, aur parallel model calls ke liye CompletableFuture.
Tutorial padheinProject Reactor AI developers ke liye: Mono, Flux, back-pressure aur WebFlux — aur wo ek jagah jahan ye sach mein sahi tool hai, yaani LLM tokens ko browser tak stream karna.
Tutorial padheinAI systems ke liye microservices patterns: API gateway, model calls ke around circuit breaker, agent workflows ke liye saga pattern, aur AI service ki sahi jagah — Hinglish mein.
Tutorial padheinSpring Boot AI application ko container mein daalna aur Kubernetes par chalana: layered JAR wala production Dockerfile, API key ke liye Secret, health probes aur resource limits.
Tutorial padheinJava AI project ke liye Maven aur Gradle: Spring AI aur LangChain4j ke versions BOM se sambhalna, multi-module layout, aur dependency hygiene — Hinglish mein samjhaya gaya.
Tutorial padhein