This is the Official repository of Build AI-Driven Apps with Java on Udemy
Learn how to put real AI features inside real Spring Boot applications. Not a toy chatbot, but production features your team can actually ship, built with Spring AI in the ecosystem you already know.
Production-ready, not tutorial-ready.
- 💬 ChatClient Fundamentals: Prompt templates, prompt chaining, and clean AI service design
- 🧱 Structured Output: Get data from the model that your code can trust
- ⚡ Streaming Responses: Real-time answers over Server-Sent Events (SSE)
- 🧩 Advisors in Depth: Build and chain custom advisors for logging, timing, and more
- 🔎 Embeddings & Semantic Search: Vectors, similarity, vector databases, and Spring AI VectorStore
- 📚 RAG End to End: Ingestion, retrieval, citations, and RAG evaluation
- 🧠 Chat Memory, Tool Calling & Agents: Make your apps stateful and action-oriented
- 🔌 MCP for Java Developers: Connect your apps to external tools and data
- 🔗 LangChain4j: Understand the wider Java AI landscape
- 🏁 Capstone: A chatbot frontend connected to your own streaming AI API
- Mid-level to senior Java and Spring Boot developers who are new to AI
- No machine learning, data science, or Python background needed
- If you can build a REST API in Spring Boot, you are ready
You should know:
- Java fundamentals
- Spring Boot basics (REST controllers, dependency injection)
You will need:
- JDK (recent LTS)
- An IDE of your choice (IntelliJ IDEA recommended)
- Maven or Gradle
- An LLM provider API key, or Ollama to run models locally
- Docker (for pgvector and supporting services)
Framework versions are pinned in each project's build file. Spring AI evolves quickly, and this repository is updated as the course is updated.
- Code is organized by section, following the course order
- Controllers are tagged with lecture references in Javadoc, so you can map code to the video you are watching
- Some demos are intentionally simplified (for example, the RAG builds do not chunk documents). These simplifications are called out in the lectures
- Pace: 3 to 5 lectures a day, or 2 to 3 focused sessions a week
- Follow the order the first time; sections build on each other
- Code along, don't just watch
- Make one change of your own after every build lecture
- Take notes on tradeoffs, not syntax
- Keep costs low by using smaller models or Ollama while learning
- Expect variation: AI outputs are non-deterministic, so focus on behavior, not exact wording
- Search the Udemy Q&A before posting; your question may already be answered
- When posting, include the lecture number, what you tried, the exact error, and the versions you are using
- Help others in Q&A; explaining something is one of the fastest ways to learn it
Complete the course to receive a certificate of completion. Add it to LinkedIn, and pair it with your capstone project on GitHub. A certificate shows you finished. A project shows you can build.
Core engineering fundamentals to AI-native systems. One continuous path, zero guesswork.
Start by mastering production-grade Java, Spring Boot, microservices, and DevOps, the foundation every senior engineer needs. Then layer in AI: tools, frameworks, and multi-agent systems built specifically for the Java ecosystem.
Phase 1 · Core Engineering: Spring Boot → Microservices → DevOps Phase 2 · AI Engineering: Use AI → Build with AI → Architect Agents
🎯 All courses are priced less than a cup of coffee or a movie ticket! If you have Udemy Business, all courses are FREE to watch. 🍿💻
View the full interactive roadmap at embarkx.com/roadmap
Production-grade Java, Spring Boot, microservices, and cloud deployment. The skills every backend role demands.
Step 1: Java Spring Boot Full Stack eCommerce (90+ Hours) ✅ Live
Learn Spring Boot by building a real project.
Build a full-featured eCommerce app from scratch: REST APIs, Spring Security with JWT, the DTO pattern, AWS deployment, then a JavaScript and React frontend to tie it together.
Topics: Spring Boot · Spring Data JPA · JWT · Spring Security 7 · REST API · JavaScript & React · AWS
Step 2: Spring Boot eCommerce Microservices Masterclass (70+ Hours) ✅ Live
Monolith to scalable microservices.
Transform a monolithic eCommerce app into a production-ready microservices system with Spring Cloud, Docker, Kafka, Kubernetes, and distributed tracing.
Topics: Microservices · Security · Spring Cloud · Docker · Kubernetes · RabbitMQ · Kafka · Zipkin
Step 3: Full Stack AI DevOps (AWS, Azure, GCP) (50+ Hours) ✅ Live
Ship to production with confidence.
Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code. Deploy real Spring Boot apps across all three major cloud platforms.
Topics: Docker · Kubernetes · CI/CD · Terraform · GitHub Actions · AWS / Azure / GCP
From using AI tools daily to architecting multi-agent systems, all grounded in the Java ecosystem you already know.
01 · Use AI: AI Productivity for Developers ✅ Live
Stop context-switching. Start shipping faster.
Master the AI tools that make you a far more productive Java developer: Claude Code, Cursor, MCP, and agentic workflows.
Topics: Claude Code · Cursor IDE · MCP · Agentic Workflows · GitHub Copilot · n8n Outcome: Ship faster, write better code, spend less time on boilerplate.
02 · Build with AI: Build AI-Driven Apps with Java 📍 This Course
Build Java applications that think.
Go beyond using AI tools. Build applications with AI capabilities baked in, using Spring AI and production-grade Java patterns.
Topics: Spring AI · Prompt Engineering · Advisors · Chat Memory · Embeddings & Vector Search · RAG · Tool Calling · Agents · MCP Outcome: Build Java apps that use LLMs as a core component, not a bolt-on.
03 · Architect Agents: Multi-Agent Systems 🚧 Coming Soon
Design systems where agents do the work.
The frontier of AI engineering. Design, build, and orchestrate systems where multiple AI agents collaborate, all in Java.
Topics: Google ADK for Java · Multi-Agent Patterns · Agent Orchestration · Observability Outcome: Architect production-grade multi-agent systems, a rare skill set among Java developers today.
👉 Join the waitlist for early access, updates, and launch pricing on Multi-Agent Systems.
Hands-on, project-based courses that go deeper on a single topic. Start anywhere based on your gap.
🔐 Security: Full Stack Spring Security 7 + ReactJS, OAuth2, JWT (34+ Hours) ✅ Live
Secure the full stack, frontend to backend.
Modern authentication and authorization for full-stack apps: Spring Security 7, OAuth2, JWT, MFA, and a secure React integration.
Topics: Spring Security 7 · JWT · OAuth2 · ReactJS · AWS
☕ Fundamentals: Java Basics: Core Java Using IntelliJ (63+ Hours) ✅ Live
The starting line for absolute beginners.
Master Java 17/21 and core OOP principles, get comfortable in IntelliJ, and build the foundation every later course assumes.
Topics: Java 17 / 21 · OOP · IntelliJ
Master data persistence, end to end.
How JPA works under the hood, complex relational models, JPQL and Criteria API, across H2, MySQL, PostgreSQL, and Oracle.
Topics: JPA · Spring Boot · Hibernate
Whether you're a fresher starting with Java basics or a seasoned Spring Boot engineer going AI-native, this roadmap is one continuous path.
- You're new to Java and want a structured path from basics to production
- You already know Spring Boot and want microservices, DevOps, or AI skills
- You feel the pressure as AI reshapes engineering roles
- You want a structured path, not random YouTube tutorials
- You want to build real, deployable, AI-powered Java applications
- You have no programming background at all
- You're looking for no-code or low-code AI tools
- You want theory without hands-on projects
- You're not interested in backend or Java development
Why Java-specific? Every concept, whether backend, DevOps, or AI, is grounded in tools and frameworks you already know. No ecosystem switching required.
- 📝 Notes: Detailed and downloadable notes to accompany each lesson.
- 💻 Source Code: Full access to the source code used in the tutorials.
- 🤔 Doubt Solving: Responsive instructor and community support.
- 🎥 High-Quality HD Videos: Easy to understand, high-definition video tutorials.
- 🔄 Free Lifetime Updates: Continuous updates to course content at no extra cost.
Start your journey today, from core engineering to AI-native systems. Enroll and start building your future, today!
Instructor: Faisal Memon Company: EmbarkX.com
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