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Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes Course

Master Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes with structured tutorials, real-world examples, interview-focused explanations and practical learning topics.

Master the integration of Artificial Intelligence into enterprise Java applications. Learn to build, deploy, and scale AI-powered Spring Boot microservices using LangChain4j, Docker, Kubernetes, Terraform, and AWS Bedrock.

20 Topics Beginner → Advanced Interview Focused Free Course
Start Learning → Practice Interviews
Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes
Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes Learning Roadmap
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What you will learn

Core concepts, practical examples, syntax, real-world usage and interview-focused explanations.

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Who should learn this?

Students, freshers, backend developers, job seekers and professionals preparing for interviews.

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Career benefits

Build strong fundamentals, improve confidence and prepare for real company interview rounds.

Step-by-step roadmap

Course Topics

Start learning in a structured order with practical tutorials and interview points.

1 Introduction to AI Engineering for Java Developers Read tutorial with examples and interview points → 2 Setting Up Your Java Development Environment for AI Read tutorial with examples and interview points → 3 Getting Started with LangChain4j in Java Applications Read tutorial with examples and interview points → 4 Integrating OpenAI, Hugging Face, and Local LLMs with Ollama Read tutorial with examples and interview points → 5 Introduction to the Spring AI Framework Read tutorial with examples and interview points → 6 Building Your First AI-Powered Spring Boot REST API Read tutorial with examples and interview points → 7 Understanding Vector Databases and Embeddings in Java Read tutorial with examples and interview points → 8 Implementing Retrieval-Augmented Generation (RAG) with Spring AI Read tutorial with examples and interview points → 9 Managing Chat Memory and Conversational Context in Spring Boot Read tutorial with examples and interview points → 10 Containerizing AI-Enabled Java Applications with Docker Read tutorial with examples and interview points → 11 Designing AI-Driven Microservices Architectures Read tutorial with examples and interview points → 12 Asynchronous AI Processing with Spring Boot and Apache Kafka Read tutorial with examples and interview points → 13 Deploying AI Java Microservices to Kubernetes Read tutorial with examples and interview points → 14 Managing Kubernetes Scaling and GPU Resources for AI Workloads Read tutorial with examples and interview points → 15 Provisioning AWS AI Infrastructure with Terraform Read tutorial with examples and interview points → 16 Integrating AWS Bedrock and Amazon SageMaker with Spring Boot Read tutorial with examples and interview points → 17 Deploying Java AI Microservices to AWS EKS Read tutorial with examples and interview points → 18 Securing AI APIs, Prompts, and Data Pipelines in Spring Boot Read tutorial with examples and interview points → 19 Monitoring and Observability for AI Java Apps with Prometheus and Grafana Read tutorial with examples and interview points → 20 Optimizing Java AI Applications with GraalVM Native Images and Cost Management Read tutorial with examples and interview points →
Common questions

Frequently Asked Questions

Is this Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes course free?

Yes, this course is designed as a free learning resource for students and professionals.

Can beginners learn Production-Grade AI for Java Developers: Spring Boot, Microservices, AWS, and Kubernetes?

Yes, the topics are arranged from beginner level to advanced concepts.

Will this help in interviews?

Yes, every topic focuses on practical understanding and interview preparation.

Sponsored Learning Resources

Practical coding tutorials, interview preparation, cloud technologies and real-world development guides.