Free Download Spring AI Masterclass for Generative & Agentic AI Developers
Published 4/2026
Created by Cameron McKenzie
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 57 Lectures ( 5h 42m ) | Size: 6.14 GB
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.
Requirements
● Basic Java programming knowledge is required. Spring Framework knowledge is especially helpful.
Description
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.
What You Will Build and Learn
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
■ Software developers interested in acquiring the skills required to implement advanced AI solutions in Java and Spring.
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