Abdel Sghiouar is a senior Cloud Developer Advocate at @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh, and Serverless. Abdel started his career in data centers and infrastructure in Morocco, where he is originally from, before moving to Google's largest EU data center in Belgium. Then, in Sweden, he joined Google Cloud Professional Services. He spent five years working with Google Cloud customers on architecting and designing large-scale distributed systems before turning to advocacy and community work.
Generative AI adoption starts from business needs, not technological aspects.
Enterprises constantly strive for a competitive edge through technology, and LLM solutions offer unique potential. However, this happens only once we clearly understand that our business requirements transcend our current technical capabilities.
Let's roll up our sleeves and learn hands-on how to build, test and deploy cutting-edge, powerful Gen AI applications in the Modern Enterprise, in a Serverless environment, using Java, AI orchestration frameworks and multiple LLMs, with a concrete, real-world production use-case as a backdrop.
The workshop empowers the enterprise Java developer to unlock new, creative possibilities for their Java apps and build features in novel ways.
It caters to the seasoned Java developer in equal measure as to the curious newcomer to GenAI and is crafted as a follow-along workshop.
What are you going to leave this session with:
- a well-balanced, end-to-end, multi-modal RAG application built in Java, ready to run in the cloud and serve as a reference architecture for a modern generative AI enterprise app
- an idempotent solution built in BOTH SpringAI and Langchain4J, today's dominant Java AI orchestration frameworks
- deploy Gen AI apps in Cloud Run, a serverless environment
- use multiple LLMs deployed in
- Managed environments - Google VertexAI
- Local environments - Ollama, Testcontainers
- Kubernetes - vLLM - an optimized LLM serving engine
- full codebase, configuration and deployment instructions
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