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From engineer to web architect: system design, microservices, real time systems, DevOps, and production grade Generative AI at scale.
8 modules · 48 lessons
Advanced front end architecture with Next.js, system design and scalable web architecture, backend engineering with microservices and GraphQL, real time systems and advanced security, DevOps and production engineering, advanced Generative AI engineering, LLMOps and safety at scale, and a capstone production AI web platform.
This is the final stage of the Ucanly Web Development with Generative AI track, where engineers become architects. Built for developers with hands on experience building and deploying full web applications with React, Node.js, and a database, this program goes deep into system design, microservices, real time systems, and production DevOps with Docker, Kubernetes, and AWS. On the front end, you will master Next.js, Server Components, and Server Actions. On the AI side, you will move past basic integration into production RAG architectures, fine tuning with LoRA, multi agent orchestration, the Model Context Protocol, and LLMOps: evaluation, guardrails, and cost optimization at scale. You will graduate having architected and shipped a scalable, production grade AI web platform with distributed architecture, full observability, and an automated CI/CD pipeline.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but hands on experience building and deploying full web applications with React, Node.js, and a database is sufficient to start.
You will work hands on with Docker, Kubernetes, GitHub Actions, Terraform, and AWS to deploy and operate real production systems.
Production RAG architectures, fine tuning with LoRA, multi agent orchestration, the Model Context Protocol, and LLMOps including evaluation, guardrails, and cost optimization.
A scalable, production grade AI web platform with distributed architecture, full observability, and an automated CI/CD pipeline, defended in a live architecture review with Ucanly mentors.