Automate business workflows with multi-AI agent systems. Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.

Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.

Learn a flexible framework to build a variety of complex AI applications.

Efficiently handle time-varying workloads with serverless agentic workflows and responsible agents built on Amazon Bedrock.

Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.

Build, debug, and optimize AI agents using DSPy and MLflow.

Turn your GenAI prototype into an automated pipeline using Apache Airflow

Build agents that communicate and collaborate across different frameworks using ACP.