Spring AI Masterclass for Generative & Agentic AI Developers

About this course

This isn't your typical Udemy course. That's one thing I can assure you.

A Better Way to Learn

In this course, you won't find any long PowerPoint presentations or teleprompter driven lectures that put you to sleep. That's a promise.

I've always believed that training has to be project driven, and that the best learning happens when a developer gets hands on experience with the tools, technologies and APIs they have to master.

I have also always believed that conversations are better than slideshows, and that the mantra that shapes this entire course.

What This Course CoversSo what do we cover in this course?

Quite frankly, we'll cover everything you need to know to become both capable and confident with Spring AI and the broader ecosystem of LLM and MCP tools that power Generative AI and Agentic AI applications. You'll learn about all of the most important Agentic AI skills that are in the most demand in today's job market.

The True MasterclassI'm honestly a little surprised by how just how much this Spring AI course covers. We move from high-level discussions about how to choose the right machine learning model, to low-level concepts such as how temperature and TopP influence system design and application behavior.

The True MasterclassI'm honestly a little surprised by how just how much this GitHub Copilot course covers. This is a hands-on masterclass packed with practical topics, tasks, and real projects. Here's a non-exhaustive list of the tools and technologies covered in this course, along with the projects that drive that learning:

Spring AI and LLM Integration

How to build a ChatGPT-style clone that only talks about Simpsons trivia

How to connect to virtually any LLM, from OpenAI and Gemini in the cloud to DeepSeek running locally with Ollama

How to

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