AI-Powered Application Development with Java Spring AI(2025)
AI-Powered Application Development with Java Spring AI(2025)
Published 5/2025
Duration: 2h 2m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 865 MB
Genre: eLearning | Language: English
Published 5/2025
Duration: 2h 2m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 865 MB
Genre: eLearning | Language: English
Java Basics, Spring Boot, Spring AI, AI Model Integration, Hugging Face Models, Gemini API, RESTful API Development
What you'll learn
- Introduction to Java Spring AI Framework
- Understanding Spring AI Components and API Models
- Building AI-powered REST APIs with Spring Boot
- Building AI-Powered Automated Email Reply Assistant with Spring AI
Requirements
- Basic Java Programming
- Spring Boot Fundamentals
- API and Database Knowledge
- Experience with Development Tools & IDEs
Description
This comprehensive course delves into the world of Java Spring AI, offering a structured approach to building AI-driven applications using the powerful Spring AI Framework. The course begins with a thorough introduction to Spring AI, explaining its architecture, key components, and how it seamlessly integrates AI capabilities into Java-based applications. Students will gain insights into different AI models and APIs supported by Spring AI, with a special focus on using Hugging Face models and the Gemini API. By understanding these AI-powered tools, learners will be able to incorporate natural language processing (NLP), machine learning, and generative AI capabilities into their applications, making them more intelligent and efficient.
As the course progresses, students will learn how to build AI-powered REST APIs using Spring Boot. This module emphasizes hands-on development, guiding learners through the process of creating, configuring, and deploying AI-enhanced APIs. The integration of Hugging Face models and the Gemini API into RESTful services enables applications to generate responses, analyze text, and automate decision-making. Through practical exercises and real-world scenarios, students will understand how to structure their APIs, manage data flow, and optimize AI performance within their applications. This segment ensures that learners are equipped with the necessary skills to develop scalable and production-ready AI-powered backend services.
The final part of the course focuses on applying AI capabilities to real-world use cases by building an AI-powered Automated Email Reply Assistant. This project-based module guides students in integrating AI-driven text processing and response generation into an automated email management system. By leveraging Spring AI, students will develop an intelligent assistant that understands email content, categorizes messages, and generates appropriate replies based on predefined AI models. This hands-on project solidifies the concepts covered in the course, providing students with practical experience in building AI solutions that enhance productivity and automation. By the end of the course, learners will have the knowledge and skills to design, develop, and deploy AI-powered applications using Spring AI, making them well-equipped for modern AI-driven software development.
Who this course is for:
- Java Developers
- AI & ML Enthusiasts
- Software/ Application Developers
- Backend Engineers
More Info