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

🚀 Spring AI for Beginners: Build GenAI LLM Apps in Easy Steps 🌟 📘 Course Overview: Welcome to your journey into the world of Spring AI, where you'll embark on a structured learning adventure tailored for beginners and intermediates alike. This course is meticulously crafted to introduce you to Spring AI from the ground up to more complex AI concepts in a manner that's both engaging and digestible.

Your Learning Path:

• Essential Foundations: Get acquainted with the fundamentals of Spring AI and grasp its core principles, setting a strong base for your AI journey.
• Spring AI Components: Dive into the building blocks of Spring AI – from prompt templates to output parsers, and learn how these components interact in creating dynamic applications.
• AI Application Crafting: Discover the practical application process by combining these components to build intelligent and versatile applications with Spring AI.
• Hands-On Coding: Roll up your sleeves for some real coding! Execute code examples that bring your understanding of Spring AI concepts to life.

Course Highlights:

• Interactive Learning: Engage with the material by following along with practical examples, ensuring you're not just learning but also applying what you've learned.
• Straightforward Chapters: Each chapter is dedicated to a specific Spring AI topic, allowing for focused and thorough understanding before moving on to the next concept.
• Gentle Progression: The course starts with the basics and progresses to more advanced topics, ensuring you have a solid foundation before tackling complex ideas.

What You Will Master:

• Introduction to Spring AI: Understand the core concepts and how they fit into the broader landscape of AI development.
• Spring AI Features: Gain expertise in prompt templates, chains, agents, document loaders, output parsers, and model classes – the tools that will shape your AI applications.
• Building GenAI LLM Apps: Learn to harness OpenAI LLMs within a Spring Boot application, explore Open Source alternatives like Mistral and Gemma, and understand how to run these models on your local machine with OLLAMA.
• Dynamic Prompting: Use PromptTemplates effectively to create reusable and dynamic prompts that empower your AI applications.
• Chat History Management: Master the technicalities of maintaining a chat history for a seamless user experience.
• Text Similarity Analysis: Utilize Embeddings Models to analyze text and understand its significance in AI.
• Vector Store Implementation: Learn how Vector Stores can be used to store and retrieve embeddings, and why this is crucial for your applications.
• Retrieval Augmented Generation (RAG): Implement RAG to enhance your applications with data from your own sources.
• Image Analysis with Multi Modal Models: Analyze images using powerful multi-modal models to enrich the intelligence of your apps.
• Application Construction: Build multiple AI applications using Thymeleaf and Spring AI, making the process simple and straightforward.
• End-to-End Project Implementation: Bring all these concepts together to build and deploy your own GenAI LLM applications.

By completing this course, you'll not only understand what Spring AI is and how it can be used with LLMs but also possess the skills to implement these powerful tools in your projects. 🥳

Get ready to transform your AI development journey into an exciting adventure with Spring AI for Beginners: Build GenAI LLM Apps in Easy Steps!