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Spring AI for beginners : Build GenAI LLM Apps in Easy Steps

A Step-by-Step Guide to Master Spring AI

$9.99 (90% OFF)
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About This Course

<div>Welcome to Spring AI for Beginners!</div><div><br></div><div>This course is designed to provide a gentle, step-by-step introduction to Spring AI, guiding you</div><div><br></div><div>from the basics to more advanced concepts. Whether you're a complete novice or have some</div><div><br></div><div>experience with AI, this course will help you understand and leverage the power of Spring AI for</div><div><br></div><div>building AI-powered applications.</div><div><br></div><div>Course Goals:</div><div><br></div><div>- Gradual Learning: Learn Spring AI gradually from basic to advanced topics with clear and</div><div><br></div><div>concise instructions.</div><div><br></div><div>- Comprehensive Understanding: Understand why Spring AI is a powerful tool for building AI</div><div><br></div><div>applications and how it simplifies the integration of language models into your projects.</div><div><br></div><div>- Hands-On Experience: Gain practical experience with essential Spring AI features such as</div><div><br></div><div>prompt templates, chains, agents, document loaders, output parsers, and model classes.</div><div><br></div><div>What You Will Learn:</div><div><br></div><div>- Introduction to Spring AI: Get started with the basics of Spring AI and understand its core</div><div><br></div><div>concepts.</div><div><br></div><div>- Building Blocks of Spring AI: Learn about prompt templates, chains, agents, document loaders,</div><div><br></div><div>output parsers, and model classes.</div><div><br></div><div>- Creating AI Applications: See how these features come together to create a smart and flexible</div><div><br></div><div>- Practical Coding: Write and run code examples to get a hands-on sense of how Spring AI</div><div><br></div><div>development looks like.</div><div><br></div><div>Course Structure:</div><div><br></div><div>- Concise Chapters: Each chapter focuses on a specific topic in Spring AI programming,</div><div><br></div><div>ensuring you gain a deep understanding of each concept.</div><div><br></div><div>- Interactive Learning: Code along with the examples provided to reinforce your learning and build</div><div><br></div><div>your skills.</div><div><br></div><div>By the end of this course, you will:</div><div><br></div><div>Learn what Spring AI is how it simplifies&nbsp; using LLMs in our applications</div><div><br></div><div>Use OpenAI LLMs in a Spring Boot application</div><div><br></div><div>Use Open Source LLMs like Mistral,Gemma in a Spring Boot application</div><div><br></div><div>Run Open Source LLMs on your local machine using OLLAMA</div><div><br></div><div>Use PromptTemplates to reuse and build dynamic prompts</div><div><br></div><div>Learn why and how to maintain Chat History</div><div><br></div><div>Learn what embeddings are and use the Embeddings Model to find text Similarity</div><div><br></div><div>Understand what a Vector Store is and use it to store and retrieve Embeddings</div><div><br></div><div>Understand the process of Retrieval Augmented Generation(RAG)</div><div><br></div><div>Implement&nbsp; (RAG) to use our own data with LLMs in simple steps</div><div><br></div><div>Analyze images using Multi Modal Models</div><div><br></div><div>Build multiple LLM APPs using Thymeleaf and Spring AI</div><div><br></div><div>All in simple steps</div><div><br></div>

What you'll 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