Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents

About This Course

This course teaches how to build production-ready generative AI applications using Java and Spring AI. It covers large language models, RAG systems, AI agents, chat memory, observability, and enterprise AI development workflows.

Quick Details

Rating: 4.6 / 5
Duration: 26 Hours
Articles: 2
Resources: 25 Downloadable Files
Language: English
Certificate: Yes
Access: Lifetime

What You’ll Learn

Build generative AI applications using Java and Spring AI
Work with LLM APIs from OpenAI, Google Gemini, and Hugging Face
Use local LLMs with Ollama and Docker
Implement advanced Spring AI concepts like streaming, structured outputs, and prompt templates
Apply prompt engineering techniques including few-shot and chain-of-thought prompting
Understand prompt injection and AI security risks
Learn LLM fundamentals such as embeddings, transformers, and token prediction
Build chat memory systems with short-term and long-term memory
Implement multimodal AI applications using text, image, and audio
Build advanced RAG systems and AI agents
Create autonomous and chained AI workflows
Implement human-in-the-loop AI systems
Understand MCP and build MCP server/client applications
Apply observability and monitoring to AI systems

AI DevOps: Automate AWS with Terraform & Claude Code

Start Course

Key Topics Covered

Generative AI with Java
Spring AI Framework
LLM Integration
RAG Systems
AI Agents & MCP
Prompt Engineering
Observability for AI

Why This Course

This course combines AI concepts with enterprise Java development. It helps learners build scalable AI systems using production-ready tools and modern AI architectures.

Who Should Take This

Java developers exploring AI applications
Backend developers working with Spring ecosystem
AI engineers building enterprise AI systems
Anyone interested in RAG and AI agent development

Final Thoughts

A detailed and practical course for building AI applications with Java and Spring AI. It is ideal for developers who want to combine enterprise software development with modern generative AI systems.