Spring AI for beginners : Build GenAI LLM Apps in Easy Steps (Udemy.com)
A Step-by-Step Guide to Master Spring AI
Created by: Bharath Thippireddy
Last updated October 2026
What you will learn
- Learn what Spring AI is how it simplifies using LLMs in our applications
- Use OpenAI LLMS in a Spring Boot application
- Use Open Source LLMS like Mistral,Gemma in a Spring Boot application
- Run Open Source LLMs on your local machine using OLLAMA
- Use PromptTemplates to reuse and build dynamic prompts
- Learn why and how to maintain Chat History
- Learn what embeddings are and use the Embeddings Model to find text Similarity
- Understand what a Vector Store is and use it to store and retrieve Embeddings
- Understand the process of Retrieval Augmented Generation(RAG)
- Implement (RAG) to use our own data with LLMs in simple steps
- Analyze images using Multi Modal Models
- Build multiple LLM APPs using ThymeLeaf and Spring AI
- Master Function Calling and Text Moderations
- All in simple steps
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.6 out of 5higher than 67% of them
- Reviews614#531 of 1,183 by number of reviews
- Length4.2 hoursshorter than 59% of them
- Last updatedOctober 2026more recently than 99% of them
Course Description
Welcome to Spring AI for Beginners!
This course is designed to provide a gentle, step-by-step introduction to Spring AI, guiding you
from the basics to more advanced concepts. Whether you're a complete novice or have some
experience with AI, this course will help you understand and leverage the power of Spring AI for
building AI-powered applications.
Course Goals:
- Gradual Learning: Learn Spring AI gradually from basic to advanced topics with clear and
concise instructions.
- Comprehensive Understanding: Understand why Spring AI is a powerful tool for building AI
applications and how it simplifies the integration of language models into your projects.
- Hands-On Experience: Gain practical experience with essential Spring AI features such as
prompt templates, chains, agents, document loaders, output parsers, and model classes.
What You Will Learn:
- Introduction to Spring AI: Get started with the basics of Spring AI and understand its core
concepts.
- Building Blocks of Spring AI: Learn about prompt templates, chains, agents, document loaders,
output parsers, and model classes.
- Creating AI Applications: See how these features come together to create a smart and flexible
- Practical Coding: Write and run code examples to get a hands-on sense of how Spring AI
development looks like.
Course Structure:
- Concise Chapters: Each chapter focuses on a specific topic in Spring AI programming,
ensuring you gain a deep understanding of each concept.
- Interactive Learning: Code along with the examples provided to reinforce your learning and build
your skills.
By the end of this course, you will:
Learn what Spring AI is how it simplifies using LLMs in our applications
Use OpenAI LLMs in a Spring Boot application
Use Open Source LLMs like Mistral,Gemma in a Spring Boot application
Run Open Source LLMs on your local machine using OLLAMA
Use PromptTemplates to reuse and build dynamic prompts
Learn why and how to maintain Chat History
Learn what embeddings are and use the Embeddings Model to find text Similarity
Understand what a Vector Store is and use it to store and retrieve Embeddings
Understand the process of Retrieval Augmented Generation(RAG)
Implement (RAG) to use our own data with LLMs in simple steps
Analyze images using Multi Modal Models
Build multiple LLM APPs using Thymeleaf and Spring AI
All in simple steps
Instructor Details
- 4.6 Rating
614 Reviews
Bharath Thippireddy
Bharath Thippireddy is an Entrepreneur, Software Architect, Author, Actor, and Public Speaker who has trained 950,000+ students across 209 countries.
He believes that learning is a crossing: from where you are to where you are capable of being. That belief drives every course he builds.
Bharath has mentored students and professionals across India and the USA, in classrooms, corporates, and agile conferences. He voluntarily teaches interview and soft skills at Vivekananda Kendra. He is the author of Hanuman's Leap, a book that takes the ancient wisdom of the Sundara Kanda and builds it into a complete framework for life's turning points. It comes out Diwali 2026. He is currently completing his Executive MBA at the Indian School of Business.
He loves learning, in technology and in life, and shares everything he discovers.
From 50+ courses with 950,000+ learners, you can pick a track and master:
Generative AI: OpenAI, LangChain, LangGraph, Agentic AI with n8n, Azure OpenAI, GitHub Copilot
Spring Boot: full stack projects with Angular and React
Angular and React: with Java or Node backends
Python: core Python through Django REST Framework
DevOps and Cloud: Docker, Kubernetes, AWS EC2, Elastic Beanstalk, Jenkins, GIT, and more
Java: Design Patterns, Web Services, Messaging Service
Spring: Security, Boot, Data with Hibernate, Data REST
Serverless: AWS Lambda
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Reviews
By Karthicks13 on 5/5/2026
The course is too good for fresher and experienced people. I feel that MCP related things need to be added deeply in the course. Other than that all the other contents are fine
By Harshit Shukla on 4/19/2026
Excellent course . Got a great understanding of different LLMs and how to integrate them with Spring AI. A must do course for someone who is looking to integrate LLM with Spring AI
By Prabhat Nigam on 1/8/2026
Good starting point for beginners to understand AI model integration in java programming. Course is well organised and explains model concepts in simple language. All examples give us hint, how we can implement them in real time application.
By Emiliano Andres Castells Pons on 7/14/2025
Course is good with a lot of examples, but it could explain better why some functions are restricted to OpenAI and does not work to Ollama, or maybe use llava for supports multimodal inputs like images
By Dandu Rajeev on 6/17/2025
This is a very good introduction course to Gen AI using Java and Spring. Explanation is clear. But I would like to see the author to dig a bit deeper and teach us more concepts. I have seen more information from official Spring AI documentation. If the author can explain those concepts too, this would be a prefect and complete course for us. Overall, I am very happy with the course which helped me venture into AI using Spring. Thank you Bharath!
By Ritu Meena on 5/6/2025
The course is really good for spring ai beginners. Instructor explains everything very nicely and replies to all the queries. One more thing I liked about this course is all the lectures are very short and exact to the point. It is an interesting course, I would definitely recommend it to people who are totally new to spring ai and want to learn.
By Mike Bishop on 4/2/2025
This is a very good overview of Spring AI that gives you a solid foundation for building Java-based LLM apps. I highly recommend this course.
By Kedar Koshti on 3/10/2025
Good practical use cases explained in this course! Would recommend to people willing to use LLMs into their projects. Explaination was simple & precise. Enough for the undertanding of one to implment various kind of operations being it image, audio or document based operatation using LLMs.
By Adam Cyril on 1/24/2025
Very nice course, I appreciated the ressources given, explanation of thymeleaf files and topics covered. I hope that more sections will be added later regarding vectoreStore matedata. I highly recommend this course!
By Poojitha T on 11/30/2024
This course is awesome, explanation is very clear and to the point. All the contents are well organized and easy to understand with the good examples.
Quality Score
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Overall Score : 92 / 100












