Full Stack Java
+ AI
Agents
Train as an AI-Native Java engineer. Master Core & Advanced Java, Spring Boot microservices, and a modern React + TypeScript front end — then ship the AI agents that pair-program with you, write tests, and run inside your services. 3 months. One production project. A job offer, not a certificate.
Four things every Full Stack Java grad walks away with.
Most programs hand you a certificate and a Zoom recording. Ours hands you a running system, a portfolio, and an interview.
The path from "can write a for-loop" to ships full-stack Java apps.
Weeks 1–3 build the base. Weeks 4–7 ship the front end & React. Weeks 8–10 layer Spring Boot & microservices. Weeks 11–12 are the project.
Java + OOP + SDLC
- JDK / JRE / JVM, IDE setup
- Variables, control flow, collections
- OOP: inheritance, polymorphism, abstraction
- SDLC, Agile, Scrum on a real backlog
HTML · CSS · JS · TS · React
- Semantic HTML & modern CSS layouts
- JavaScript ES6+, async, fetch, DOM
- TypeScript: types, generics, interfaces
- React with hooks, Router, Redux
Advanced Java · Spring Boot · Microservices
- Exceptions, threads, streams, lambdas
- JDBC, JPA, Hibernate, Spring Data
- Spring Boot REST APIs + JWT auth
- Microservices, Eureka, API Gateway
Deploy a full-stack Java app into a real partner org.
Pick a real partner problem — an LMS, an HRMS module, a CRM workflow. Ship a complete Spring Boot + React solution backed by an AI assistant. Deploy to AWS, instrument it, and walk out with a production artifact, a reference, and often, an offer letter.
Eight sections. 42+ modules. Every one maps to something you'll ship.
Jump to any section on the left. Click a module to see topics, hands-on lab, and key technologies.
Fundamentals of IT & AI
Core Java
Foundations of Web Development
React JS Frontend Framework
Advanced Java Development
Spring Boot & MicroServices
Cloud & DevOps for Java
AI Pair Programming for Java
24 tools, one production project.
You don't watch videos. You ship software.
Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.
LMS on EKS
Full LMS: course authoring, learner tracking, assessments — deployed to production EKS via a Jenkins + GitHub Actions pipeline, with an AI tutor agent backing the content engine.
HRMS pipeline
CI/CD for an HRMS platform — payroll, onboarding, performance — with an onboarding agent that provisions access on day one.
CRM observability
Sales + support CRM with a Prometheus/Grafana stack and an escalation agent that reads tickets and drafts refund PRs.
Your AI-Ops agent, in a real partner org.
Pick a real partner problem. Ship an AI agent into their tenant. Walk away with a production artifact, a reference, and often, an offer letter.
Taught by the engineer who ran your dream job's pipelines.
Ahmed came up through ops at an Indian unicorn before leading cloud platform teams across three continents. He's built CI/CD pipelines for a retail chain with 1,200 stores, migrated a bank's monoliths to Kubernetes, and — most recently — shipped the first LangGraph-based AI-Ops agent into production at a Fortune-500 insurer.
His classes get two things other programs don't give you: a real engineer who still ships code, and a curriculum rewritten every quarter to match what hiring managers actually ask about.
Questions we actually get — answered honestly.
If the answer you need isn't here, book a 20-minute advisor call. No-slides, no-pitch — just your questions.
Class 015 starts 12 May 2026.
48 seats. 11 already claimed.
Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real projects from class 014.