Spring AI - GenAI with Telusko (Udemy.com)
Build AI-powered Spring Boot app. using SpringAI with OpenAI, Ollama, RAG, vector databases, with multimodal capability.
Created by: Navin Reddy
Last updated November 2025
What you will learn
- Easily Integrate Model-as-a-Service(OpenAI) and Open-Source(Ollama) AI Models
- Develop Context-Aware Conversational AI
- Create Multimodal(Text, Audio, Image) and Structured AI Applications
- Integrate Retrieval-Augmented Generation (RAG) to enhance prompt effectiveness
- Dive into vector databases and discover how they power modern AI applications
How it compares
Against the other 815 rated Udemy courses in Web Development on CourseDuck:
- Rating4.6 out of 5higher than 70% of them
- Reviews87#681 of 816 by number of reviews
- Length5.1 hoursshorter than 61% of them
- Last updatedNovember 2025more recently than 66% of them
Course Description
Spring AI—Gen AI (TELUSKO)
This comprehensive course on Spring AI is your gateway to building intelligent, AI-powered Java applications. It leverages Spring AI, the official module within the Spring framework, designed to seamlessly integrate Large Language Models (LLMs) and a broad spectrum of AI capabilities into your Spring Boot projects.
You'll develop essential skills for integrating diverse AI models, from popular model-as-a-service provider like OpenAI (GPT-4o) to open-source LLM providers like Ollama (Mistral and Deepseek). This is achieved through Spring AI's standardized API, offering remarkable portability and minimizing vendor lock-in.
A significant portion of the curriculum focuses on developing sophisticated conversational AI systems using the intuitive ChatClient API and ChatModel, enabling dynamic and natural interactions. Furthermore, you'll master Retrieval-Augmented Generation (RAG), a critical technique that empowers LLMs with external, up-to-date, and domain-specific knowledge. This involves deep dives into vector embeddings and practical experience with various vector databases like PgVector, Redis, and Spring AI's SimpleVectorStore, ensuring your AI responses are contextually relevant and accurate.
Beyond conventional text-based AI, the course ventures into multimodal applications, covering capabilities like image and audio processing, including text-to-speech and speech-to-text. This expands the possibilities for creating truly immersive and interactive applications. You'll also learn the art of prompt engineering through templates and advisors for enhanced AI interactions, and crucially, how to transform raw AI outputs into neatly structured Java objects (List, Bean, Map) for seamless integration into your application's logic.
This course is ideally suited for Java developers eager to add cutting-edge AI functionalities to their Spring Boot applications, backend developers exploring modern AI integration patterns, and teams dedicated to building the next generation of intelligent, data-driven applications. A solid foundation in Spring Boot and Java programming is recommended to maximize your learning experience. By completing this course, you will be well-equipped to transform your Spring applications with advanced AI features, ensuring you remain at the forefront of the rapidly evolving AI-driven development landscape.
Instructor Details
- 4.6 Rating
87 Reviews
Navin Reddy
Navin Reddy is Trainer and Educator.
He is also a Founder & CEO at Telusko.
TEDx Speaker
He has taught Millions on Different technologies.
He provides online as well as corporate training to multiple IT companies and Banks.
Worked on Java, Spring, Hibernate, Python, AWS, Blockchain, MySQL, git, Django, postgres, etc.
Learning should be fun.
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Reviews
By Tom on 7/7/2026
There is no option to return to the lecture; everything is stuck. He was making the changes within the code, it difficult to follow up. He uses a client application Insomnia w/t explaining how to set it up. I want my money back.
By Diwakar Reddy s k on 4/25/2026
it was a good learning , i enjoyed it
By Francis W Deible on 4/15/2026
The AI stuff moves so fast, I know this course was updated fairly recently but as of 4/15/2026 a substantial chunk of the code (particularly the advisors section) is deprecated. I also wish this class covered MCP servers, which maybe isn't a core part of SpringAI but is certainly an important topic in software for AI generally, and a compare/contrast of Spring rest service vs. MCP server use cases would have been very useful. Having said that the instructor was very good, it's a great bridge to AI topics in the Spring context.
By Ramya Kamalasekaran on 3/5/2026
Learn a lot about Spring AI. Thank you sir.
By Raul Lopes on 2/5/2026
The course from this creator is alwasy magnific and complete.
By Aishwarya Mishra on 9/3/2025
Good start so far !!
By Kapil Sharma on 7/6/2025
Loved it the course
By Mohan Kumar S on 7/4/2025
This course is best ever I have learn
By Hello Raj on 7/2/2025
Great Course. Want more projects
By Sarvajeet Kadam on 6/21/2025
Great starter course for Spring AI
Quality Score
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Overall Score : 92 / 100












