Learn chat with LLMs, Retrieval-Augmented Generation, tool calling, and multimodal AI using Spring AI.
Sub Category
- Web Development
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Objectives
- Learn to integrate Large Language Models (LLMs) with Spring AI to build interactive chat applications using Java and Spring Boot.
- Understand and implement Retrieval-Augmented Generation (RAG) to enhance LLM responses using custom and external knowledge sources.
- Master tool calling with Spring AI to enable your LLM apps to take real-world actions like querying APIs or performing tasks.
- Build multimodal applications that work with text, images, and audio by leveraging the latest OpenAI capabilities in Spring AI.
- Learn how to configure and work with Spring AI clients, including prompt templates, message history, and streaming responses.
- Build and deploy multiple real-world projects that cover chatbots, search assistants, and AI-powered tools using Spring AI.
Pre Requisites
- Basic knowledge of Java and Spring Boot will help, but the course covers concepts from scratch for new learners.
- No prior experience with AI, OpenAI, or LLMs is required—everything is explained in a simple, hands-on way.
- Familiarity with REST APIs and JSON can be helpful, but not mandatory to follow along with the projects.
- Curiosity and willingness to experiment with code are the most important things you’ll need for this course.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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