AI for Busy Java Developers

Yep, we know you’re knee-deep in production Java deployments and don’t exactly have time to learn about AI. But your manager is talking more about AI every day, and you’re reading unsettling posts about how GenAI will take your job. In this session, we’ll fast-track you through AI and Machine Learning—tailored just for Java developers who need to get the job done without the need to drill down into data science and complicated math. We’ll cover all the basics and explain how AI can be used in the software development process beyond simple code generation. You’ll walk away understanding where AI fits (and doesn’t fit), understand the ethical concerns, and how you can make yourself more productive and enhance your career direction.

• Why AI Matters to Developers and Your Career
• Importance of Patterns
• Predictive AI (PredAI) vs Generative AI (GenAI)
• GenAI vs. Traditional Search Engines
• Prompt Techniques
• The Importance of Context for GenAI
• Retrieval-Augmented Generation (RAG) Systems
• Fine-tuning vs RAG
• Java Libraries for AI/ML
• AI and the Software Development Process
• Responsible AI and Ethics