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From engineer to architect - system design, microservices, DevOps, and production grade Generative AI at scale.
8 modules · 48 lessons
Advanced DSA and system design, Next.js front-end engineering, microservices and real-time systems, DevOps/cloud/production engineering, advanced Generative AI (fine-tuning, multi-agent systems), LLMOps and safety at scale, and a capstone production AI platform.
This is the final stage of the Ucanly Full Stack Development & DSA with Generative AI track - where engineers become architects. Built for developers who already have hands-on experience building and deploying full stack 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 AI side, you'll 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'll graduate having architected and shipped a scalable, production grade AI 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's recommended, but hands-on experience building and deploying full stack applications with React, Node.js, and a database is sufficient to start.
You'll 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 platform with distributed architecture, full observability, and an automated CI/CD pipeline, defended in a live architecture review with Ucanly mentors.