Sponsored by: AWS | Deploying a GenAI Agent using Databricks Mosaic AI, Anthropic, LangGraph, and AWS Bedrock
Overview
| Experience | In Person |
|---|---|
| Type | Lightning Talk |
| Track | Artificial Intelligence |
| Industry | Enterprise Technology |
| Technologies | Mosaic AI |
| Skill Level | Intermediate |
| Duration | 20 min |
In this session, you’ll see how to build and deploy a GenAI agent and Model Context Protocol (MCP) with Databricks, Anthropic, Mosaic External AI Gateway, and AWS Bedrock. You will learn the architecture, best-practices of using Databricks Mosaic AI, Anthropic Sonnet 3.7 first-party frontier model, and LangGraph for custom workflow orchestration in Databricks Data Intelligence Platform. You’ll also see how to use Databricks Mosaic AI to provide agent evaluation and monitoring. In addition, you will also see how inline agent will use MCP to provide tools and other resources using Amazon Nova models with AWS Bedrock inline agent for deep research. This approach gives you the flexibility of LangGraph, the powerful managed agents offered by Amazon Bedrock, and Databricks Mosaic AI’s operational support for evaluation and monitoring.