Java Developers Getting Into AI? Start Here - Episode 0

In this video, we start a new series on how to build production-ready AI agents in Java. If you are a Java developer looking to get into AI engineering, agentic AI, and LLM-based systems, this video will give you a clear starting point. Most content online focuses on quick demos, but here we focus on real-world AI systems, scalable AI architecture, and production-ready AI agents that actually work beyond simple prototypes. This Episode 0 covers the complete AI engineering roadmap for Java developers, helping you understand what skills you need to build AI agents using Java, how to move from basic prompting to structured AI development, and how to think like an engineer when working with large language models (LLMs). If you want to go from experiments to production AI systems, this roadmap will guide you step by step. We also go through a brief history of software development and connect it to modern agentic AI systems, inspired by ideas similar to 12-factor app principles, but adapted for AI agent architecture. Understanding this evolution will help you see why AI agents, autonomous systems, and LLM-powered applications are becoming important in modern backend development. A key part of this video is understanding the difference between AI agents vs workflows. Many developers confuse these concepts, but knowing when to use AI workflows and when to build autonomous AI agents is critical for building efficient and reliable systems. This directly impacts performance, cost, and maintainability of your AI applications in Java. We also cover important considerations for building AI agents, including reliability, observability, control, cost management, and scaling. These are essential if you want to move from simple AI demos to enterprise-grade AI systems and production-ready LLM applications. Finally, we break down how to architect an AI agent using a simple 4-part model. This gives you a clear mental framework to design and build your own AI agents in Java, whether you're working on chatbots, automation tools, or complex agentic AI systems. This series is designed for Java developers, backend engineers, and anyone interested in AI system design, LLM engineering, and building scalable AI applications. If you want to learn how to build, test, and deploy production-ready AI agents, this series will take you step by step from basics to advanced concepts. Stay tuned for the next episodes where we will build real projects, explore tools, and go deeper into Java-based AI agent development, LLM integration, and production AI architecture. 🔔 Subscribe: https://www.youtube.com/channel/UCiWsQBA97JYGntWs99ZrQmw 🗓️ 1:1 Consultation with Me: https://topmate.io/varshadas 🔣 Linkedin: https://www.linkedin.com/in/varsha-das-se/ 🎬 Share: https://youtu.be/EjNvSrpm1Bw To support the initiatives of this channel you can: Buy Me A a Coffee - https://www.buymeacoffee.com/varshadas21 If you found this content useful and valuable, please show your support by clicking the LIKE button. Your feedback is essential to me and motivates me to continue producing high-quality content for aspiring engineers and professionals like you. If you have any questions or concerns, feel free to share them in the comments section below. Your input is valuable to me, and I will do my best to address your concerns. To stay updated on new videos and content, don't forget to click the bell symbol to receive notifications and subscribe to the channel. By subscribing, you'll never miss a video and stay ahead of the game in your career development journey. Follow us on: ➡️LinkedIn - https://www.linkedin.com/company/code-with-ease/ ---------------------------------------------------------- Created and Instructed by: Varsha Das Senior Software Development Engineer(Manager) & Content Creator of @Code With Ease - By Varsha ➡️ LinkedIn - https://www.linkedin.com/in/varsha-das-se/ ➡️ Medium - https://medium.com/@varshadas21