AI for Java Developers: Full Course / Workshop on Getting Started with Spring AI

**Every Java Developer is now an AI Developer. Transform your Java skills for the AI era with this comprehensive 5.5-hour Spring AI masterclass!**

Are you a Java developer ready to harness the power of AI in your applications? This complete course takes you from AI fundamentals to building production-ready intelligent applications using Spring AI 1.0.

🎥 Video Timestamps

Introduction & Setup
- **00:00** - Course Introduction & What We'll Build
- **08:45** - Getting Started: API Keys & Project Setup
- **18:30** - Your First AI Application with Spring AI

AI Fundamentals
- **28:15** - What is AI? Machine Learning & Deep Learning Explained
- **35:20** - Large Language Models & Transformers
- **42:10** - Prompt Engineering Fundamentals
- **52:30** - Why Java & AI? Spring AI Overview

Spring AI Core Features
- **1:02:45** - Chat Clients & Streaming Responses
- **1:15:20** - Prompts & System Messages
- **1:28:40** - Structured Output with Type Safety
- **1:42:15** - Multimodal AI: Images & Audio Processing
- **1:58:30** - Chat Memory & Conversation State

Overcoming LLM Limitations
- **2:12:20** - Understanding LLM Limitations
- **2:18:45** - Prompt Guarding & Security
- **2:25:10** - Prompt Stuffing & Context Enhancement
- **2:32:30** - Retrieval Augmented Generation (RAG)
- **2:52:15** - Tools & Function Calling
- **3:15:40** - Model Context Protocol (MCP) Servers

Open Source Models
- **3:45:20** - Open Source vs Proprietary Models
- **3:52:30** - Running Local Models with Ollama
- **4:02:15** - Docker Model Runner & LM Studio
- **4:10:45** - Using Local Models in Spring AI

Production & Monitoring
- **4:18:30** - Observability with Prometheus & Grafana
- **4:32:20** - Metrics That Matter for AI Applications
- **4:41:15** - Testing AI Applications & Model Evaluations
- **4:56:30** - Deterministic vs Non-Deterministic Testing

Conclusion & Next Steps
- **5:08:45** - Key Takeaways & Best Practices
- **5:15:20** - Resources & Community
- **5:22:30** - Building Your AI Portfolio
- **5:30:15** - What's Next & Course Wrap-up

🎯 **What You'll Master:**

**Foundation & Theory**
- AI fundamentals: Machine Learning, Deep Learning, and LLM architecture
- Prompt engineering mastery - the most critical skill for AI developers
- Model selection strategies and cost optimization with tokens

**Spring AI Implementation**
- Chat clients with streaming responses and memory management
- Structured outputs and multimodal processing (images, audio)
- Multiple AI model integration in single applications
- Prompt templates and advanced configuration

**Overcoming LLM Limitations**
- Retrieval Augmented Generation (RAG) for enhanced accuracy
- Custom tool development and function calling
- Model Context Protocol (MCP) for reusable integrations
- Prompt guarding and security best practices

**Production Excellence**
- Open-source vs proprietary model comparison
- Running local models with Ollama and Docker
- Observability with Prometheus and Grafana
- Testing strategies for non-deterministic AI systems

🛠 **Hands-On Workshop:**
- Build intelligent chatbots with conversation memory
- Create document analysis systems using RAG
- Develop custom AI tools and MCP servers
- Implement multimodal applications processing text, images, and audio

💡 **Perfect For:**
- Java developers entering the AI space
- Spring Framework users wanting AI capabilities
- Developers building chatbots and intelligent features
- Anyone seeking practical AI implementation without ML theory

📋 **Prerequisites:**
- Basic Java knowledge
- Familiarity with Spring Framework
- No machine learning background required!

**🚀 Ready to become an AI-powered Java developer?** This course provides everything you need to build intelligent applications that users love and businesses need.

**📚 Resources:**
- Complete source code on GitHub

**🔥 Transform your development career - Start building AI applications today!**

👋🏻Connect with me:

[drforgia]

You are simply the best voice in the Youtube Spring community. Thank you so much for the effort and for sharing such an incredible video

[zerocodercool]

Awesome! Been waiting for this from the newsletters! I'll tag along and follow all steps to fill in my gaps. Thanks Dan!

[vijaypatil-wv]

excellent course, very well explained.

[ChadSigma]

Hey Dan. Amazing content as always.
One request, please use dark theme or else we will turn blind.

[hiddenz-iv]

Thanks Dan for everyone course and knowledge. I see you from Spain! ♨

[sayilircoder]

Awesome! Thanks for great content Dan 👍

[otash]

Thank you for this course. That was what I need !

[sadiulhakim]

Thanks for this video. I appreciate your hard work.

[LINAPBOT_AUTO_APPLY]

Really appreciate your explanation of prompt engineering and how Spring AI simplifies integrating LLMs without deep ML knowledge! Have you explored automating job applications using these AI tools?

[mayikx]

Thank you, Dan Vega for such an inspirational course. This can inspire young minds with it.

[nagamohank]

Congrats on the Book Dan Vega, thanks again for the course and knowledge spread.

[syedbaqirali]

Congratulations on the book. 📖Started the course 🎉 Can’t wait to finish

[byquanzi]

Thank you very much for your course, which saved me a lot of trouble! You can see how hard you worked, even your beard has grown, haha！

[jopadjr]

370th...Thanks Dan. This is going to be a good journey ! Cheers !

[paragsarkar]

This is so cool Mr Vega. One Small request can you give us a little idea on AG-UI

[_leftii]

This one's gunna take a few days to get through lol thanks for all the awesome content Dan!

[Mac-iw]

Hey Dan. Amazing . In mid way though, 1.30.08 why we need qualifier ? Spring Framework 6.x has a fast path to beanName right ? Why can't we just use specific beanName from our @Bean instead of Qualifier?

[indianengineer]

If someone watches this all please share your review how it was!