Spring AI Masterclass for Generative & Agentic AI Developers | Udemy [Update 04/2026]
English | Size: 6.14 GB
Genre: eLearning[/center]

Project driven, hands-on learning for Java developers who want to build advanced, multi-modal, Agentic AI applications.

What you'll learn
Build real AI applications with Spring Boot and Spring AI, starting with a ChatGPT-style app that connects to modern LLMs in minutes.
Learn how to turn messy AI responses into clean structured Java objects your applications can safely process and display.
Build a powerful RAG system that lets your application answer questions using your own documents and knowledge.
Create AI agents using the Model Context Protocol so your apps can call tools, APIs, and services automatically.
Develop chatbots with memory that remember previous messages and produce natural, contextual conversations.
Learn how to test, evaluate, and observe AI prompts and responses so your applications behave reliably in production.
Add advanced features like text-to-speech, image generation, OCR, and language translation to your Spring AI apps.
Build advanced, multi-modal, Spring AI apps that integrate with voice, language translation and image analysis
You'll finish the course with the skills to build production-ready AI features inside modern Java applications.

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 Covers

So 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 Masterclass

I'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 Masterclass

I'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 engineer prompts properly so your generative applications produce better, more reliable results

Real-World AI Applications

How to create a social media post engine and even use AI agents to publish content automatically

How to build chatbots with long-running memory

How to create multimodal applications that handle text-to-speech and speech-to-text

How to generate images programmatically with Spring AI

How to go from image to text using Spring AI OCR capabilities

How to translate text from one language to another

RAG, MCP, and Agentic AI

How to implement Retrieval Augmented Generation, and what to do when retrieval quality falls short

How to create Model Context Protocol servers and call them from MCP clients

How to debug and troubleshoot agentic applications

How to detect drift and divergence in your LLM-powered systems

What This Course Will Do for You

This masterclass will not teach you everything there is to know about Generative AI and Agentic AI. No course can.

What it will do is teach you everything you need to know to explore new AI topics with confidence, competence, and credibility, even when those topics are not explicitly covered in the course.

Who This Course Is For

This course is built for Java developers who want to move into the AI space and do it the right way.

It is designed to help you get started, keep progressing, and maintain the pace of learning required to stay current with the rapid changes happening across the Java, Spring, machine learning, and Agentic AI space.

If you want a practical, project-driven course that helps you build real skills instead of just watch slides, this course is made for you.

Who this course is for:
Software developers interested in acquiring the skills required to implement advanced AI solutions in Java and Spring.

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