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Mastering Spring AI: Build Production-Ready Java AI Applications Course

Master Mastering Spring AI: Build Production-Ready Java AI Applications with structured tutorials, real-world examples, interview-focused explanations and practical learning topics.

Learn how to integrate artificial intelligence into your Java applications using Spring AI. This comprehensive, step-by-step course covers LLMs, prompt engineering, vector databases, RAG, tool calling, and deploying production-ready AI agents.

24 Topics Beginner → Advanced Interview Focused Free Course
Mastering Spring AI: Build Production-Ready Java AI Applications
Mastering Spring AI: Build Production-Ready Java AI Applications 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 Spring AI Read tutorial with examples and interview points 2 Setting Up Your First Spring AI Project Read tutorial with examples and interview points 3 Understanding Chat Models and ChatClient Read tutorial with examples and interview points 4 Mastering Prompt Templates and Prompt Engineering Read tutorial with examples and interview points 5 Structured Outputs with Output Parsers Read tutorial with examples and interview points 6 Integrating OpenAI with Spring AI Read tutorial with examples and interview points 7 Running Local Models with Ollama and Spring AI Read tutorial with examples and interview points 8 Working with Alternative LLM Providers Read tutorial with examples and interview points 9 Introduction to Embeddings in Spring AI Read tutorial with examples and interview points 10 Understanding Vector Databases and Vector Stores Read tutorial with examples and interview points 11 Integrating PGVector with Spring AI Read tutorial with examples and interview points 12 Integrating Pinecone and Cloud Vector Databases Read tutorial with examples and interview points 13 Implementing Retrieval-Augmented Generation (RAG) Read tutorial with examples and interview points 14 Building Document Readers and ETL Pipelines Read tutorial with examples and interview points 15 Managing Chat Memory and Conversation History Read tutorial with examples and interview points 16 Function Calling and Tool Integration Read tutorial with examples and interview points 17 Building AI Agents with Spring AI Read tutorial with examples and interview points 18 Image Generation with Spring AI Read tutorial with examples and interview points 19 Audio Transcription and Text-to-Speech Read tutorial with examples and interview points 20 Securing Spring AI Applications Read tutorial with examples and interview points 21 Monitoring and Observability in Spring AI Read tutorial with examples and interview points 22 Testing Spring AI Applications Read tutorial with examples and interview points 23 Performance Optimization and Token Management Read tutorial with examples and interview points 24 Deploying Spring AI Applications to Production Read tutorial with examples and interview points
Common questions

Frequently Asked Questions

Is this Mastering Spring AI: Build Production-Ready Java AI Applications course free?

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

Can beginners learn Mastering Spring AI: Build Production-Ready Java AI Applications?

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.

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