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Build Your GenAI Stack with Confluent and AWS for Real-Time Use Cases

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Available On-demand

To unlock the transformative power of generative AI, Confluent and AWS help you accelerate your journey and deliver the highest performance while lowering costs.

Join this webinar to learn how you can use Confluent and AWS to create your GenAI stack, quickly build and scale your GenAI applications, and support architectural patterns such as retrieval-augmented generation (RAG) for real-time use cases. You’ll learn:

  • What an event-driven microservices architecture for GenAI looks like
  • Why ensuring data integrity and security with Stream Governance is key
  • How Confluent and Amazon Bedrock help you tap into real-time, contextualized, and trustworthy data streams
  • How to seamlessly integrate with various cloud services and systems

Plus, we'll demo how to build a real-time AI chatbot using Confluent Cloud, Amazon Bedrock, Amazon embeddings microservice, Anthropic Claude LLM, and Elastic vector database.

Pascal VantrepoteSenior Director Customer Success Engineering, Confluent
Weifan LiangSenior Partner Solutions Architect

Weifan Liang is a Senior Partner Solutions Architect at AWS. He works closely with AWS top strategic data analytics software partners to drive product integration, build optimized architecture, develop long-term strategy, and provide thought leadership. Innovating together with partners, Weifan strives to help customers accelerate business outcomes with cloud powered digital transformation.

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