Agentic AI with Spring Boot: Build AI Agents Using Java & Tool Calling | AI Career 2026

Stop building basic chatbots that only talk. In this practical Agentic AI with Spring Boot and Java tutorial, you’ll learn how to build an AI agent that can actually take action, use tools, interact with databases, and execute real business logic. We’ll go beyond simple LLM prompts and explore Spring AI, AI agents, Agentic Workflows, Java Tool Calling, LLM applications, and real-world Agentic AI architecture. You’ll see how an AI Employee Assistant can connect an AI model with business systems and perform useful tasks through tool calling. If you’re a Java developer, Spring Boot developer, software engineer, or aspiring AI engineer, learning how to build AI-powered applications is becoming an important career skill. This tutorial helps you understand how traditional Java development is evolving with Generative AI, Agentic AI, LLMs, AI automation, and AI agents. As companies move from basic chatbots toward intelligent AI systems that can reason, use tools, and complete tasks, Agentic AI development is becoming an increasingly valuable skill for developers preparing for AI and software engineering careers in 2026 and beyond. Build practical AI skills, strengthen your Java ecosystem knowledge, and learn how to develop job-ready Agentic AI applications with Spring Boot. What we build: • Spring Boot + Spring AI • Qwen 2.5 running locally with Ollama • AI Tool Calling • Employee information tool • Leave balance tool • H2 database • Agentic AI workflow • Introduction to RAG and embeddings • nomic-embed-text for embeddings • SimpleVectorStore for demo RAG Chapthers: 00:00 Introduction: Java + Spring Boot + AI 00:10 Building an Agentic AI Employee Assistant 00:43 Tech Stack: Spring Boot, Spring AI, Qwen, Ollama & H2 01:05 REST API to AI Tool Calling Flow 01:49 What Is Spring AI? 02:04 Spring AI: Chat, Tool Calling, RAG & Vector Stores 02:34 Agentic AI Architecture Explained 03:12 Live Demo & Project Walkthrough 03:47 Running the Spring Boot Application 03:56 Prerequisites: Java 21, Maven & Ollama 04:03 Running Qwen 2.5 Locally with Ollama 04:26 Testing the AI Assistant 04:41 Spring AI Employee Assistant Code Walkthrough 05:08 Spring AI Configuration with application.properties 05:40 Understanding AI Model Temperature 06:02 Configuring the H2 Database 06:19 Employee Entity & Data Model 06:53 Repository Layer: Employee & Leave Data 07:25 Spring Boot Application Structure 07:40 Loading Employee & Leave Data 08:21 Employee Leave Balance Demo 08:35 Building AI Tools with Spring AI 08:43 Employee Tool & Leave Tool 08:50 Connecting AI Tools to the Database 09:06 How AI Uses Java Tools 09:37 Agentic AI: Complex Employee Query 09:46 Tool Calling in Action 10:01 Final AI Response 10:09 AI for Java & Spring Boot Developers 10:26 Subscribe for More Java & AI Content 10:32 Learn Hands-On with Eduarn 10:39 Thanks for Watching 💻 SOURCE CODE GitHub: https://github.com/eduarnofficial/spr... 🎓 WANT TO LEARN AI + CLOUD + DEVOPS? If you're a Java developer, cloud engineer, DevOps engineer or software professional looking to build practical AI skills, check out EduArn's courses and career-focused learning programs: https://eduarn.com/ 💬 QUESTION FOR YOU Would you let an AI agent call your Java business services in production? Comment: "YES" if you're already exploring Agentic AI "NO" if you still prefer traditional application workflows. 👍 Like the video if you found it useful. 🔔 Subscribe for more Java, Spring Boot, AI and cloud engineering content. #SpringAI #SpringBoot #Java #AgenticAI #GenerativeAI #Qwen #Ollama #AIToolCalling #JavaDeveloper #ArtificialIntelligence Learn AI, Prompt Engineering, Cloud (AWS, Azure and GCP) & DevOps with industry-ready online courses on Eduarn LMS. 👉 Visit www.eduarn.com to enroll and upgrade your skills. Eduarn is a modern Learning Management System (LMS) and professional training platform designed for skill development, corporate training, and career growth. 🔹 Eduarn LMS: https://eduarn.com/eduarn-lms 🔹 Eduarn Training Programs: https://eduarn.com/eduarn-training 🔹 Eduarn Courses & Learning Solutions: https://eduarn.com 📝 Eduarn Blogs & Resources: https://blogs.eduarn.com 📱 Follow Eduarn on Social Media Instagram:   / eduarnofficial   Threads: https://www.threads.com/@eduarnofficial X (Twitter): https://x.com/eduarnofficial Tops IIT's are teaching these: IIT Madras — AI, Cloud, DevOps, Data Science and software technologies. Its IITM Pravartak offerings currently include AI-Powered Cloud & DevOps. IIT Roorkee — AI, Cloud, DevOps, Full Stack, Python IIT Kharagpur — AI-native software engineering, including AI, cloud, DevOps and modern software development. IIT Bombay — strong AI, software engineering, cloud and AIOps ecosystem; IIT Delhi strong programs and executive education around AI, data science and technology.