Spring Boot, Spring AI, Docker, Kubernetes & AWS Essentials

What you'll learn

⚡ Learn how to build REST APIs in Spring Boot using controllers, dependency injection, Spring Data JPA and global exception handling
⚡ Understand how to secure Spring Boot applications with Spring Security, JWT authentication and OAuth2
⚡ Learn how to add AI to Java applications with Spring AI, including OpenAI integration, RAG, embeddings, vector databases and AI agents
⚡ Understand how to containerize Spring Boot apps with Docker and deploy them to Kubernetes using Pods, Deployments, Services and Ingress
⚡ Learn how CI/CD pipelines work with GitHub Actions, along with Helm, container registries and zero-downtime deployments
⚡ Understand how to deploy and run Spring Boot apps on AWS using EC2, S3, RDS, IAM roles, ECS and CloudWatch
⚡ Master backend fundamentals like REST, HTTP methods, JSON, caching, message queues, SQL vs NoSQL and monolith vs microservices
⚡ Apply production-ready practices like API versioning, Swagger/OpenAPI docs, DTOs, CORS handling, rate limiting and unit testing with MockMvc

Requirements

❗ Basic knowledge of Java programming, such as classes, objects and methods
❗ No prior experience with Spring Boot, Spring AI, Docker, Kubernetes or AWS is required

Description

Learn Spring Boot, Spring AI, Docker, Kubernetes and AWS through short, bite-sized lessons.
This course is built for busy Java developers and backend engineers who want to learn fast without sitting through long lectures. Each lesson focuses on a single concept: what it is, why it matters, and how it looks in real code. The videos are designed for mobile, so you can learn on your commute, during a break, or right before an interview.
What's inside
✨Backend Fundamentals: REST APIs, HTTP methods, JSON, database transactions, SQL vs NoSQL, caching, message queues, and monolith vs microservices
✨Spring Boot Core: auto-configuration, Spring Beans, dependency injection, REST controllers, global exception handling, Actuator, and Spring Data JPA
✨Spring Boot Advanced: Spring Security, JWT authentication, OAuth2, unit testing with MockMvc, profiles, pagination, @Async, and task scheduling
✨Full Stack Essentials: CORS, DTOs, REST vs GraphQL, API gateways, API versioning, Swagger/OpenAPI, and rate limiting
✨AI Engineering with Spring AI: OpenAI integration, prompt engineering, RAG, embeddings, vector databases with pgvector, chatbots, AI agents, tool calling, and LangChain4j
✨DevOps: Docker, Dockerfiles, Docker Compose, Kubernetes Pods, Deployments, Services, Ingress, Helm, and CI/CD with GitHub Actions
✨AWS Cloud: EC2, S3, RDS, IAM roles, ECS vs EKS, API Gateway, CloudWatch, and AWS cost basics
How to use this course
Go start to finish for a complete learning path, or jump straight to any lesson as a quick refresher before an interview, a code review, or a new project.
Who's teaching
EmbarkX is a developer education brand trusted by 160,000+ learners on Udemy, focused on teaching what's production-ready, not just tutorial-ready.

Who this course is for

⭐ Java developers who want to learn Spring Boot quickly through short, focused lessons
⭐ Backend engineers who want to add AI engineering skills with Spring AI, RAG and AI agents
⭐ Developers moving into DevOps and cloud who want a clear introduction to Docker, Kubernetes, CI/CD and AWS
⭐ Developers preparing for Java, Spring Boot or backend engineering interviews who need quick concept refreshers
⭐ Full stack developers who want a stronger understanding of backend architecture, API design and microservices
⭐ Busy software engineers who prefer bite-sized learning they can fit into a commute or a short break

Homepage

https://www.udemy.com/course/spring-boot-spring-ai-docker-kubernetes-aws-essentials

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