What you’ll learn
- Build AI-driven workflows and automation using the Spring framework and generative AI models (LLMs)
- Develop intelligent AI agents in Java that can interact with APIs and data, leveraging Spring AI’s tools
- Parse and analyze data with AI (NLP techniques) integrated into Spring Boot applications
- Integrate OpenAI/ChatGPT and other models into Spring Boot to create real-world AI-powered features
- Apply best practices in AI app development, including prompt engineering, model selection, and deployment in Java
In this course, you won’t waste hours watching unfocused coding or endless trial and error. Every lesson is designed to deliver practical knowledge and clear explanations, so you can make real progress without unnecessary filler. Better a shorter and direct curse than tons of hours without giving you time to practise.
If you are an intermediate Java developer eager to start creating products with AI, this course is your gateway to building intelligent applications with Spring. Are you comfortable with Spring Boot and looking to add cutting-edge AI features like chatbots, workflow automation, or smart data processing to your skillset? This course blends theory with hands-on projects to take your expertise to the next level. You’ll learn how to harness Spring AI – the latest Spring ecosystem project – to seamlessly integrate powerful AI models (like OpenAI’s GPT-4) into Java applications.
In “Spring AI: Creating Workflows, Agents and Parsing Data,” you will work on real-world scenarios and coding exercises that bridge the gap between AI and Spring development. Through a step-by-step approach, you’ll:
- Develop AI-driven workflows: use Spring Boot and generative AI APIs to automate tasks and decision-making processes in your apps.
- Build autonomous AI agents: create agents that can call APIs, handle data, and make intelligent decisions (leveraging concepts like LangChain and Spring AI’s tool integrations).
- Implement advanced data parsing: learn NLP techniques to extract insights from unstructured data (emails, documents, logs) using LLMs within Spring applications.
- Integrate popular AI models: bring ChatGPT, or other AI services into your Java projects, mastering API integration and prompt engineering.
Why learn AI integration with Spring? Artificial Intelligence is transforming how software is built, and Java developers with AI skills are in high demand. By combining Spring Boot (Java’s leading framework) with AI capabilities, you can build innovative, AI-powered products that stand out in the market. This course shows you practical techniques to add features like intelligent chatbots, automated workflows, and smart data analyzers to your applications – skills that can accelerate your career.
