Java for Cloud-Native Enterprise Applications
Backend Services, APIs, and Cloud Integration with Java
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Machine Learning Engineer
Day 1: Spring Boot and REST APIs
Get to know the Spring Framework and Spring Boot—dependency injection, IoC containers, auto-configuration, and starters. You'll build REST APIs with Spring Web (@RestController, @GetMapping, @PostMapping), work with JSON/Jackson, and implement validation and error handling.
Day 2: Databases and Security
You connect to databases using Spring Data JPA—entities, repositories, query methods, and relationships (@OneToMany, @ManyToOne). You use the H2 database for development and secure your API with Spring Security (authentication, authorization, roles, and permissions).
Day 3: Docker and Cloud Deployment
You'll containerize your Spring Boot application using Docker (multi-stage build, Dockerfile) and orchestrate multi-container setups using Docker Compose (app + PostgreSQL). You’ll also gain an overview of CI/CD pipelines, cloud deployment (PaaS, container services, Kubernetes), and cloud-native alternatives (Quarkus, GraalVM).
In addition, you'll use AI tools as development tools for designing REST APIs and Swagger UI. You'll also use AI to generate JPA entities and queries, as well as to create Dockerfiles and CI/CD configurations.
Requirements:
Prerequisites include a solid knowledge of Java equivalent to the course “Modern Java: Streams, Testing & Concurrency” or comparable knowledge: the Streams API, unit testing with JUnit 5, Maven project management, and a basic understanding of concurrent programming.
All participants need access to an AI text bot (e.g., ChatGPT, Claude, Copilot, or Perplexity).
Additional info:
Please create a free AI account (e.g., ChatGPT, Claude, Copilot, or Perplexity) before the course begins.
- Creating and Configuring Spring Boot Applications from Scratch
- Developing, Validating, and Documenting RESTful APIs with Spring Web
- Connecting Databases with Spring Data JPA and Modeling Entities
- Writing Query Methods and User-Defined Queries with @Query
- Securing Applications with Spring Security (Authentication, Authorization)
- Containerizing Spring Boot Applications with Docker and Orchestrating Them with Compose
- Using AI Tools for API Design, JPA Generation, and Docker Configuration
The course combines theory and practice:
- Short theoretical presentations, live coding, and demos by the trainers
- Numerous hands-on exercises with increasing levels of difficulty
- AI-powered exercises: Designing REST APIs, generating JPA entities, creating Dockerfiles
- End-to-End Practical Project: Task API—From REST to JPA, Security, and Docker Deployment
- Interactive training with time for questions and discussion
Javadevelopers s with a solid understanding of streams, testing, and Maven who want to build enterprise applications using Spring Boot. This course is particularly well-suited for:
- developers, who want to make the transition from a Java application to a production-ready enterprise solution
- IT professionals who want to master REST APIs, database integration, and cloud deployment with Spring Boot
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