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Lavi Nigam

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Developer Relations Engineer Google Cloud

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with Hari Ramamurthy (The Home Depot) , Isabell Gruebner (AstraZeneca) , Lorenzo Spataro (Google Cloud) , Rocco Michele Lancellotti (RCS MediaGroup SpA) , Lavi Nigam (Google Cloud) , Greg Brosman (Google Cloud)

Want to create a retrieval-augmented generation (RAG) system perfectly tailored to your data and use case? This session dives into building custom RAG pipelines on Vertex AI. Learn how to combine Vertex AI services like document processing, vector search, and grounding to build powerful, context-aware AI applications.

Ready to launch your generative AI app? This session equips you with the essential skills to deploy and scale AI applications on Google Cloud. Learn practical strategies for building robust infrastructure, automating deployments, optimizing performance, and managing costs. With live demos and expert insights, you’ll walk away with actionable techniques to take your AI app to the next level.

**Please bring your laptop to get the most out of this hands-on session**

The excitement of generative AI has captured the imagination of developers around the world. To achieve value, customers have to confront the hard reality of what it takes to put models into production. Vertex AI provides capabilities specific to gen AI, including prompt management, tuning, evaluation, and model monitoring to help customers to put gen AI use cases into production. Learn how these capabilities can help accelerate your ability to get the most out of gen AI and how customers have used them successfully for a return on investment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.