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AdvancedWeb Development8 weeks
Certificate IncludedCertificate EligibleUcanly certificate

Full Stack Development & DSA with Generative AI - Advanced

From engineer to architect - system design, microservices, DevOps, and production grade Generative AI at scale.

Duration
8 weeks
Level
Advanced
Content
48 lessons
8 modules · 16 h 50 min
Certificate
Included
On completion
Access
Fee by email
Or take the free aptitude test

What you'll learn

Solve advanced DSA problems: dynamic programming, graph algorithms, heaps, tries, and greedy strategies
Design scalable systems: load balancing, caching, database sharding, and event-driven architecture
Build high performance applications with Next.js, Server Components, SSR/SSG/ISR, and Core Web Vitals optimization
Architect microservices, GraphQL APIs, and real-time systems with WebSockets
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 platform with full observability and automated CI/CD

Who this course is for

  • Intermediate level graduates ready to architect production grade 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 FAANG-style system design and advanced DSA interviews

Skills you'll gain

System DesignAdvanced DSADynamic ProgrammingNext.jsMicroservicesGraphQLWebSocketsDockerKubernetesAWSCI/CDLLMOpsFine-TuningMulti-Agent SystemsProduction RAGAI EngineerSolutions Architect

This course includes

Live mentor led sessions plus self paced recorded content
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
Certificate of Completion from Ucanly

Course content

8 modules · 48 lessons · 16 h 50 min

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.

Requirements

  • Completion of the Intermediate level, or hands-on experience building and deploying full stack 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 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.

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'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.