Udemy – Spring AI – GenAI with Telusko 2025-6

A significant portion of the curriculum focuses on developing complex conversational AI systems using the ChatClient API and ChatModel, which enable dynamic and natural interactions. In addition, participants will master Regenerative Augmentation (RAG), a critical technique that empowers LLMs with external, up-to-date, and domain-specific knowledge. This includes an in-depth look at vector embeddings and hands-on experience with various vector databases such as PgVector, Redis, and Spring AI’s SimpleVectorStore, which ensure that AI responses are contextually relevant and accurate. Beyond traditional textual AI, the course addresses multi-faceted applications and covers capabilities such as image and audio processing, including text-to-speech and speech-to-text. This expands the possibilities for creating truly immersive and interactive applications.

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 Recovered Augmented Generation (RAG) to increase prompt effectiveness.
• Dive deep into vector databases and discover how they power modern AI applications.

This course is suitable for people who:

• This course is suitable for Java, Spring, and backend developers who plan to integrate AI capabilities into their Spring Boot applications, as well as for teams building intelligent, next-generation applications.
• It is recommended that you have strong knowledge of Spring Boot and Java programming to maximize the learning experience.
• By completing this course, you will be well prepared to transform your Spring applications with advanced AI features, ensuring you remain at the forefront of the rapidly evolving landscape of AI-powered development.

Installation Guide

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Subtitles: English

Quality: 720p