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[Hands-on Workshop]From One Agent to a Swarm: Building Collaborative AI Analysts
What happens when AI agents stop working alone and start collaborating?
WHAT YOU'LL BUILD
Explore agentic AI through a real-world use case: multi-agent stock analysis.
Starting from a working swarm of specialized agents, you'll extend the system by adding new capabilities, introducing new agents, and shaping how they coordinate.
You'll gain hands-on experience:
Creating tools for agent collaboration
Designing handoff chains between agents
Orchestrating multi-agent systems
Building specialized agents that work together to solve complex problems
Walk away with practical experience building collaborative AI systems that go beyond single-agent limitations.
KEY TOPICS
Multi-agent system architecture
Agent specialization and collaboration patterns
Tool creation for agent ecosystems
Handoff chain design
Swarm orchestration strategies
WHO SHOULD ATTEND
AI/ML engineers, developers building agent systems, technical leads exploring multi-agent architectures, and builders interested in collaborative AI.
PREREQUISITES
Participants must complete setup before the workshop:
Required Software:
AWS account with Amazon Bedrock model access enabled (Claude Opus 4.6 via cross-region inference)
AWS CLI v2 installed and configured (
aws configure)Python 3.12+ and uv package manager installed
Claude Code CLI installed
Setup Steps:
Add the Strands Agents MCP server to Claude Code:
claude mcp add strands uvx strands-agents-mcp-serverClone the workshop repo:
git clone --depth 1 --filter=blob:none --sparse https://github.com/strands-agents/samples.git cd samples git sparse-checkout set python/04-industry-use-cases/finance/finance-assistant-swarm-agent cd python/04-industry-use-cases/finance/finance-assistant-swarm-agent
Install dependencies:
uv syncVerify setup:
uv run finance_assistant_swarm.pyEnter a ticker (e.g., AMZN)
Wait for the report to complete
If a full analysis report appears without errors, you're all set
WORKSHOP CONDUCTORS
WORKSHOP ACCESS
This workshop is exclusively available to summit attendees. First come, first served with limited capacity.