1:1 LLM Integration Mentoring for Java Developers

Interested in integrating Large Language Models (LLMs) into your Java applications but not sure where to begin?

This personalised mentoring session is designed to help Java developers understand the fundamentals of modern AI systems and confidently start building LLM-powered applications. We begin by identifying your specific goals, challenges, or areas of interest, and then focus the session on practical, real-world implementation strategies relevant to Java devs.

Topics Covered

LLM Fundamentals

• Understanding how Large Language Models work
• Tokens and tokenisation concepts
• Embeddings and semantic similarity
• Context windows and their impact on application design
• Prompt engineering fundamentals
• Model selection and trade-offs
• Cost, latency, and performance considerations

Building AI-Powered Java Applications

• Introduction to Embabel AI
• Live application demonstrations
• Integration patterns for Java and Spring Boot applications
• Practical implementation approaches and architectural considerations

What Makes This Different?

This is not a one-way theoretical lecture. The session is highly interactive and guided by over 20 years of software development experience combined with hands-on expertise in integrating LLMs into real-world business applications.

You'll gain practical insights, implementation guidance, architectural best practices, and lessons learned from actual AI integration projects. The objective is to help you move from understanding concepts to building your own LLM-powered solutions as quickly as possible.

Ideal For

• Java Developers
• Software Architects
• Technical Leads
• Engineering Teams exploring AI adoption

Prerequisites

A basic understanding of Java and Spring Boot is needed.