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AdvancedWeb Development8 weeks
Certificate IncludedCertificate EligibleUcanly certificate

Web Development with Generative AI: Advanced

From engineer to web architect: system design, microservices, real time systems, DevOps, and production grade Generative AI at scale.

Duration
8 weeks
Level
Advanced
Content
48 lessons
8 modules · 16 h 38 min
Certificate
Included
On completion
Access
Fee by email
Or take the free aptitude test

What you'll learn

Build high performance applications with Next.js, Server Components, Server Actions, and Core Web Vitals optimization
Design scalable systems: load balancing, CDNs, edge computing, caching, and database sharding
Architect microservices, GraphQL APIs, and background job processing at scale
Build real time systems with WebSockets and Server Sent Events, secured with OAuth 2.0 and SSO
Deploy and operate production systems with Docker, Kubernetes, GitHub Actions, and Infrastructure as Code on AWS
Build production RAG architectures, fine tune models with LoRA, and orchestrate multi agent AI systems
Run LLMOps in production: evaluation pipelines, guardrails, cost optimization, and scalable AI infrastructure
Architect and ship a scalable, production grade AI web platform with full observability and automated CI/CD

Who this course is for

  • Intermediate level graduates ready to architect production grade web systems
  • Working developers preparing for senior engineer, AI engineer, or solutions architect roles
  • Engineers who want deep, hands on experience with system design and production AI infrastructure
  • Anyone targeting senior level system design and advanced engineering interviews

Skills you'll gain

Advanced Web DevelopmentNext.jsSystem DesignMicroservicesGraphQLWebSocketsPostgreSQLRedisDockerKubernetesAWSCI CDLLMOpsFine TuningMulti Agent SystemsProduction RAGWeb ArchitectAI Engineer

This course includes

Live mentor led Ucanly sessions plus self paced recorded content
Ucanly mock system design interviews and senior level portfolio review
Resume and profile audit with placement guidance
Production style projects in every module
Lifetime access to course materials and future updates
Advanced Certificate of Completion from Ucanly

Course content

8 modules · 48 lessons · 16 h 38 min

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.

Requirements

  • Completion of the Intermediate level, or hands on experience building and deploying full web applications with React, Node.js, and a database
  • Comfort with JavaScript/TypeScript, REST APIs, and basic cloud or deployment concepts
  • A computer capable of running Docker and local development environments

About this course

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.

Earn a Ucanly certificate

Complete this course to earn a Ucanly certificate with its own page and QR code. Save it as a PDF, share its link, or add it to the certifications on your LinkedIn profile.

Certificate IncludedCertificate EligibleUcanly certificate

Frequently asked questions

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.