I Tried 15+ Spring AI Courses — Here Are My Top 7 Recommendations for Java Developers in 2026

My favorite courses to learn and master Spring AI in 2026

I Tried 15+ Spring AI Courses — Here Are My Top 7 Recommendations

Hello friends, Artificial Intelligence is no longer a Python-only ecosystem.
In 2026, Java developers can build production-grade AI applications using familiar tools like Spring Boot, thanks to the rapidly evolving Spring AI framework.

Spring AI allows you to integrate:

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agents and tool-calling
  • Multimodal inputs like PDFs and images

…all while staying inside the Spring ecosystem you already know.

Over the past few months, I explored 15+ Spring AI courses to understand which ones actually teach real-world skills and which ones are just surface-level demos.

In this article I am going to share the 7 best courses that genuinely stand out in 2026. You can not just learn but master Spring AI by using these online courses.

7 Best Online Courses to Learn Spring AI in 2026

These courses cover everything from beginner fundamentals to enterprise-grade AI systems and autonomous agents.

without any further ado, here they are:

1. Spring AI: Beginner to Guru

If you’re new to both AI and Spring AI, this is the best starting point.
John Thompson explains concepts clearly and builds everything step-by-step, making it approachable even if you’ve never worked with LLMs before.

You’ll learn:

  • Setting up Spring AI in a Spring Boot project
  • Building conversational apps with ChatGPT
  • Prompt engineering basics
  • Working with structured outputs and token limits

This course follows the same high-quality format as the popular Spring Boot Beginner to Guru series.

Here is the link to join this course — Spring AI: Beginner to Guru

I Tried 15+ Spring AI Courses — Here Are My Top 7 Recommendations

2. Spring AI for Beginners: Build GenAI LLM Apps in Easy Steps

Created by Bharath Thippireddy, this course focuses on hands-on building rather than theory, making it ideal if you prefer learning by doing.

Key topics:

  • Creating your first LLM-powered Spring Boot app
  • Integrating OpenAI APIs
  • Building chatbots and content generators
  • Avoiding common integration mistakes

It’s short, practical, and highly rated by beginners.

👉 Join here:
Spring AI for Beginners: Build GenAI LLM Apps in Easy Steps

3. Mastering Spring AI: Build AI with Java

Once you understand the basics, this course helps you move toward production-ready enterprise AI systems.

You’ll explore:

  • Prompt templating and model chaining
  • Switching between OpenAI, HuggingFace, and Ollama
  • Context management and memory
  • Real-world architecture patterns

This is one of the most practical courses for engineers working on enterprise Java applications.

👉 Join here:
Mastering Spring AI: Build AI with Java

4. Build AI Apps with Spring AI, OpenAI, Ollama & Spring Boot

This course stands out for covering modern GenAI capabilities like RAG and local models, which are essential in 2026.

You’ll build:

  • Document-based question answering systems
  • Vector search pipelines
  • Applications powered by local LLMs using Ollama

Perfect if you’re building private AI tools or internal enterprise copilots.

👉 Join here:
Build AI Apps with Spring AI, OpenAI, Ollama & Spring Boot

5. Master Generative AI with Java and Spring Boot | Spring AI

This course focuses on the end-to-end lifecycle of building AI applications using Java — from prompt design to deployment and iteration.

It covers:

  • API integration patterns
  • Memory management
  • LLMOps and model updates
  • Versioning AI pipelines

A great pick if you want a holistic view of building and maintaining AI systems.

👉 Join here:
Master Generative AI with Java and Spring Boot | Spring AI

6. Spring AI: Creating Workflows, Agents and Parsing Data

Agentic AI is one of the biggest trends in 2026, and this is one of the few courses that teaches how to build autonomous agents using Spring AI.

Topics include:

  • Tool-using agents
  • Workflow orchestration
  • Structured data parsing
  • Multi-step reasoning pipelines

If you’re interested in AutoGPT-style systems or LangGraph-like architectures in Java, this course is a must-watch.

👉 Join here: Spring AI: Creating Workflows, Agents and Parsing Data

7. Spring AI — GenAI with Telusko

Navin Reddy’s teaching style is extremely approachable, and this course focuses on building real applications rather than just showing APIs.

You’ll build:

  • AI-powered Spring Boot web apps
  • Multimodal chat systems
  • RAG pipelines with vector databases
  • Local and cloud model integrations

It’s one of the best choices if you prefer project-driven learning.

👉 Join here: Spring AI — GenAI with Telusko

Final Thoughts

That’s all about the 7 best online courses to learn Spring AI in 2026. Spring AI is quickly becoming the default way for Java developers to build AI-native applications without switching ecosystems.

It bridges the gap between:

  • enterprise Java architectures
  • modern LLM tooling
  • and production-ready deployment pipelines

If you invest time in learning Spring AI now, you’ll be well-positioned as companies start embedding AI directly into their core Java systems.

And, If you plan to take more than one course, it may be worth checking out the Udemy Personal Plan, which gives access to thousands of courses for a monthly fee.

If you found this helpful, consider sharing it with other Java developers exploring AI in 2026.

All the best !!

I Tried 15+ Spring AI Courses — Here Are My Top 7 Recommendations for Java Developers in 2026 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

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