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

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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.