Learn how to build intelligent applications in Java, from modern language essentials to practical AI integration. You'll refresh collections, streams, concurrency, and REST, then implement machine learning and LLM-powered features using libraries like Tribuo, DJL, TensorFlow Java, and OpenNLP. Expect hands-on modules in classification, recommendation, NLP, computer vision, embeddings, retrieval, evaluation, and secure model deployment.

By the end, you'll ship real features—smart search, chat assistants, fraud detection signals, and predictive dashboards—deploying to the cloud with Docker, Gradle/Maven pipelines, and observability baked in. The payoff is faster delivery of smarter services, stronger career prospects, and a portfolio of projects you can demo. If you already write Java and want to add intelligence to what you build, this path makes the leap feel natural.

I’m ITeLearn, a software engineer and educator who has spent my career building real-world Java systems—from backend services and APIs to cloud-native apps—and mentoring teams on clean, reliable code. My work increasingly lives where Java meets data and AI, turning ideas into features that ship and scale.

That’s why I created "Java with AI": a practical course that connects solid Java fundamentals with modern AI tools and workflows. We focus on building and integrating AI capabilities into Java applications through hands-on projects, clear patterns, and production-ready practices. I’m deeply invested in your progress and passionate about making advanced concepts approachable, useful, and fun.