Deploying a GenAI Agent using Databricks Mosaic AI, Anthropic, LangGraph, and Amazon Bedrock
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Overview
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Learn to build and deploy a GenAI agent using Databricks Mosaic AI, Anthropic, LangGraph, and Amazon Bedrock in this 24-minute conference talk. Discover the comprehensive architecture and best practices for integrating Databricks Mosaic AI with Anthropic Sonnet 3.7 first-party frontier model and LangGraph for custom workflow orchestration within the Databricks Data Intelligence Platform. Explore how to leverage Databricks Mosaic AI for agent evaluation and monitoring capabilities. Master the implementation of Model Context Protocol (MCP) to provide tools and resources using Amazon Nova models with Amazon Bedrock inline agents for deep research functionality. Understand how this integrated approach combines the flexibility of LangGraph, the powerful managed agents from Amazon Bedrock, and Databricks Mosaic AI's operational support for comprehensive evaluation and monitoring of your GenAI agent deployments.
Syllabus
Deploying a GenAI Agent using Databricks Mosaic AI, Anthropic, LangGraph, and Amazon Bedrock
Taught by
Databricks