$600 Fullstack Live Event Free With a Membership!
The world of Large Language Models is vast, complex, and evolving at lightning speed. In this live event, you’ll discover how to build intelligent, high-performance, and secure AI applications with Spring AI as your trusted guide. Learn to implement seamless chat integrations, image generation, and audio transcription—and unlock the full potential of cutting-edge language models without getting lost in the noise. From context orchestration to secure integrations, our experts will equip you with the strategies you need to navigate the LLM jungle with confidence and clarity.
We’ll start by introducing you to Spring AI’s core features—your essential toolkit for building smarter applications. Next, we’ll map out today’s LLM ecosystem: from ChatGPT and Claude to Mistral, DeepSeek, and innovative coding tools like GitHub Copilot and Cursor. Finally, you’ll dive deep into the Model Context Protocol (MCP): discover how to build MCP servers and clients with Spring AI, orchestrate multiple data sources, and use OAuth2 to create secure bridges between your services. After this event, you’ll navigate the LLM landscape with both creativity and confidence.
Discover how AI can supercharge your work and creativity!
AI is no longer the future – it’s transforming how we work and bring ideas to life. In this live session, you’ll get hands-on insights into modern language models (LLMs) and their practical applications: from chat interactions with Ollama, function calls with Anthropic Claude, to image generation with DALL·E and audio transcription with OpenAI.
See live demos, gain valuable tips, and learn how companies leverage these technologies to optimize processes and drive innovation. Perfect for anyone who wants to not only understand AI but apply it effectively in real projects.
Believe it or not, there are already over a million LLMs available on Hugging Face, including public-facing GPTs like ChatGPT, Claude, Gemini, Grok, Mistral, Qwen, DeepSeek, and many more. For developers, the landscape is just as rich, with numerous specialized coding tools such as Devin, CoPilot, Cursor, Aider, Vercel, Cline, Replit, and others.
In this session, we’ll provide a concise overview of these tools and introduce some you may not have explored yet – helping you pick the right model and tools for your AI projects.
Unlock the full potential of your language models with MCP! In this session, we’ll build an MCP server using Spring AI, connect it via Claude Desktop to a movie and a weather service, and demonstrate integration using both STDIO and REST.
Next, we’ll create an MCP client that intelligently processes data from multiple sources. Finally, you’ll learn how to secure your MCP server with OAuth2 for maximum safety and control.
Hands-on, compact, and immediately applicable – the perfect session to take your LLMs to the next level with smart context orchestration and secure integration.
How to build powerful, AI-driven applications with Spring AI.
Which LLMs and tools best fit your projects.
How to leverage the Model Context Protocol for smart context orchestration and secure integrations.
How to bring clarity, structure, and efficiency to the fast-moving world of LLMs.
Java developers eager to integrate AI features like chat, transcription, and image generation directly into their applications.
Software architects looking for clarity in the LLM ecosystem and proven integration patterns for enterprise environments.
Tech leads & team leads aiming to empower their teams to deliver strategic, secure AI projects.
Patrick Baumgartner
Expert in Java and Spring, agile software development, as well as graph and NoSQL databases.
John Davies
Expert in Java development, financial technology architectures, AI applications, and startup founding and scaling.
Kai Tödter
Expert in software architecture, Java technologies, cloud computing, microservices, and hypermedia APIs.