Spring AI - GenAI with Telusko
Build AI Spring Boot apps with SpringAI! Learn OpenAI, Ollama, RAG, vector DBs & multimodal AI development. Hands-on project experience.
Course Content
Spring AI - GenAI with Telusko is an intermediate-level Udemy course taught by Navin Reddy. It runs 5h 5m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 36 reviews, with 1,093 students enrolled. It is a paid course, last updated October 2025.
Unlock the power of artificial intelligence in your Java applications with the Spring AI course from TELUSKO! This comprehensive training provides a clear path to building intelligent, AI-powered Spring Boot projects using Spring AI, the official module within the popular Spring framework.
- Integrate Large Language Models (LLMs): Learn to seamlessly integrate leading LLMs like OpenAI (GPT-4o) and open-source options such as Ollama (Mistral, Deepseek) into your Spring Boot applications. Leverage Spring AI's standardized API for maximum portability and avoid vendor lock-in.
- Develop Conversational AI Systems: Master the ChatClient API and ChatModel to create sophisticated and natural conversational AI experiences. Build dynamic and engaging user interactions.
- Master Retrieval-Augmented Generation (RAG): Empower your LLMs with external, up-to-date, and domain-specific knowledge using Retrieval-Augmented Generation (RAG). Dive into vector embeddings and gain practical experience with vector databases including PgVector, Redis, and Spring AI's SimpleVectorStore to ensure accurate and contextually relevant AI responses.
- Explore Multimodal AI: Extend your applications beyond text! Discover capabilities in image and audio processing, including text-to-speech and speech-to-text functionalities, to create truly immersive applications.
- Prompt Engineering for Enhanced AI: Learn effective prompt engineering techniques using templates and advisors to optimize AI interactions and achieve desired results.
- Transform AI Outputs into Java Objects: Crucially, learn how to structure raw AI outputs into organized Java objects (List, Bean, Map) for effortless integration into your application logic.
This course is perfect for:
- Java Developers: Add cutting-edge AI functionalities to your Spring Boot applications.
- Backend Developers: Explore modern AI integration patterns.
- AI-Driven Application Teams: Build the next generation of intelligent, data-driven applications.
Prerequisites: A solid foundation in Spring Boot and Java programming is recommended.
By the end of this course, you'll be equipped to transform your Spring applications with advanced AI features and stay ahead in the rapidly evolving AI development landscape. Learn Spring AI and build the future of intelligent applications!
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LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.